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How did you decide to be a founder?)", "answer": "Troy and Jake met in at Grove City College outside of Pittsburgh. They lived in the same dorm, played sports together and enjoyed frequent conversations about the world. After initially bootstrapping Gecko, Jake and Troy reconnected and saw the same vision of building a robotics company to solve real challenges in the built world." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Jake was unfamiliar with YC before they applied. In the fall of 2016, Troy learned that Kevin Hale was scheduled to be in Pittsburgh promoting the next cohort. Jake and Troy met him and talked through the vision for how Gecko could scale. At the time Gecko was making money but wasn’t yet focused on raising money or the traction it would take to turn the company into a scalable business. Kevin, Jake and Troy talked through that path and Jake and Troy turned in their application almost immediately afterwards. Going through the batch was formative for helping Jake and Troy chart Gecko’s path forward. As the batch was starting they were weighing an acquisition offer but, thanks in large part to the advice they were getting at YC, they decided to reject the offer and build the company together." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Yes. Mostly through interactions with Kevin Hale, Jared Friedman, Sam Altman and Jon Levy. " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Jake built the world’s first wall-climbing ultrasonic testing robot in 2012. Soon after we were making money but weren’t sure on the path to scale. Going though YC was a key inflection point that lead us to our model for scaling Gecko. The decision to turn down early acquisition attempts and investments in favor of building the company we wanted build to was another key inflection point. Gecko turned down offers right before demo day from investors in favor of walking. Fast forward to today and Gecko is closing deals with some of the biggest energy providers on the planet as well as global institutions like the U.S. Air Force and U.S. Navy." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Jake visited a power plant while in college. The owner talked about how assets at the plant just fail and the plant shuts down regularly and that was seen as just the cost of doing business. That seemed wrong to Jake. It made him think about the importance of the built world and how much we rely on physical assets to provide power, water, safety and other critical services. Yet at the same time they are aging and starting to breakdown - Jake thought he had found a problem hiding in plain sight. Jake and Troy talked a lot about that in the early days of Gecko and committed the company on a path to deploy advanced robotics to solve this critical problem that no one else seemed to be working on." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The long-term vision for Gecko Robotics is to transform the world’s most important industries that have been left behind in the digitalization movement. Gecko aims to be one of the first truly impactful robotics companies and prove that the best way to build incredible hardware and software is around solving real world problems and creating impactful outcomes for customers. 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It was founded by two MIT PhDs in computer vision and robotics, selected into Y Combinator program in summer 2016, and featured by TechCrunch as one of the top startups. 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We are Whitney and George, and at [Sinovia Technologies](https://www.sinoviatech.com/) we make OLED displays for smart products using roll-to-roll printing.\n\n### **🚧 The problem: smart products need to communicate data to their users, but there hasn’t been innovation in low cost displays in 50 years.**\n\nIoT products are built around the data that they collect, the functions they perform, and the data that they communicate back to their users. They are constrained by space, power, and cost, and these factors determine whether a product can include an indicator or display for user communication. The primary indicator options right now are based on LED and LCD technologies, which are bulky, power-hungry, and can only convey limited types of information.\n\n### ✨ **The solution: printed OLED**\n\nOLED is the highest-quality display tech on the market, but until now it has been relegated to high-end phones and TVs because of cost. Sinovia's proprietary materials allow us to make printed OLEDs using the same old-school tools used to make labels, packaging, and newspapers. We make really nice displays very quickly and very cheaply. They are perfect for products that have space and power constraints, as they are as **thin as a human hair, consume less power, and are flexible**. And because we are using the same printing tech used to print newspapers, we can **easily customize the display** to fit the product in the same way new newspapers are printed every day. **We envision a world in which any product can have effective visual communication on any surface.**\n\n![uploaded image](/media/?type=post&id=65527&key=user_uploads/168283/8dd81ba8-06b4-4142-b408-d72a9724ac91)\n\nWe have been working on this for a long time – we started back in 2009 during our PhD programs at Stanford. We are now in the demo and customer collaboration stage, moving toward mass production next year.\n\n### **Our Asks**\n\n**Are you building hardware?**\n\n_We’d love to talk with you about how we might be able to collaborate!_\n\n**Know anybody else building hardware? Are you friends with product designers or contract manufacturers?**\n\n_We love intros to makers and builders!_\n\n📩 **Get in touch!** [founders@sinoviatech.com](mailto:founders@sinoviatech.com)", "url": "https://www.ycombinator.com/launches/H2t-sinovia-technologies-flexible-printed-oleds", "votes": 15, "created_at": "2022-08-22T06:24:20.888Z" } ] }, { "id": 1504, "name": "Arylla", "slug": "arylla", "former_names": [ "Arylla Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/625cc8316448d38d73101072829a6b5898adf51f.png", "website": "http://www.arylla.com", "all_locations": "Kitchener, ON, Canada", "long_description": "Arylla has created a printable tag that can be scanned with any phone using our API. We piggyback on legacy commercial printers to get our tag onto products at scale and license our API to developers who build services on top of our tag. 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In high school we built an electric car together with a small team of students, and we both went on to study at the University of Waterloo. Chris went into math & accounting, I went into mechanical engineering. \r\n\r\nThe first spark of an idea came in 2017, with EV adoption on the rise. I’ve always been fascinated by all things complicated, difficult, and physical, and naturally was drawn to the energy and automotive space. There is beauty in the things that power our world in the background, unnoticed, unglamorous, but essential. I was drawn to the problem not so much in the spotlight, aging and ever strained grid infrastructure. The constant need for more efficient hardware with practical implementation. Through a rabbit hole of research I was fascinated with the potential of superconducting technologies, saw the barrier in the high cost of cryocooling, and had an idea for more cost effective cryocoolers. I went to my trusted friend Chris with the idea, and Intelline was born. People ask about the name, its a word we made up from latin, ‘intelligent in nature’.\r\n\r\nFast forward to 2019, we had a lovely multi-layered pulse tube cryocooler prototype designed and fabricated from scratch, along with our own linear helium compressor to power it. Unfortunately there wasn’t a huge market for it and we would have to move mountains as a tiny startup to bring together all the stakeholders for any meaningfully sized superconductor project. Over the holidays at the end of that year, we came across an article on diesel generators, highlighting their terrible inefficiency, yet they remain the only effective option for heavy duty industrial power. We were sitting beside our compressor prototype and that was the lightbulb - “Hey, this compressor design would make a really great engine”. I was always a huge car nerd, and have been sketching designs for engines and car parts since high-school, so the prospect of contributing a game-changing engine to the world was very exciting. We modified the compressor design with piston-mounted valves and added on the necessary combustion hardware, filed the patents, quickly machined a small cross-sectioned prototype, and carted it off to a mining equipment conference in Toronto where it was an instant hit. Customers were so excited even at that stage, and it was clear to us we were building something that customers have been begging for with no one answering the call. Today, we have a real running prototype of our groundbreaking engine design, and are preparing for first customer deliveries at a time when this technology is critical for growing power demand. 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We have the unique opportunity to create this change in underserved regions, with affordable microgrids based on our generator tech, given that many of these regions already use old inefficient diesel generators that keep costs high and curtail growth. Furthermore, the power concentrations centered on access to oil can be better distributed, as our generator can run on any fuel. Biofuel and other renewable sources allow remote areas to be far more self reliant on their own energy sources. In short, we can improve the worldwide quality of life by ensuring no-one is left behind in access to practical and affordable energy.\r\n2. Practical transition to zero emissions. We believe in climate change. We don’t care if you don’t. People can argue about this until they are blue in the face, all the while massive diesel engines continue to tick on powering our world economy because no one has provided an actual effective replacement. Our opinion is that real change is not hype, not a fad, and it doesn’t happen overnight. We made an engine that runs on anything, and uses less so it makes financial sense. Stuck with your diesel supply chain? No problem, use less, save money. Soon enough we’ll have thousands of customers using our engines, enough that it makes sense to develop robust supply chains for alternative fuels at scale. With real scale in alternative fuels and customers to use them, costs come down. All the while even the most steadfast climate denier has been using our engine, loving the rugged reliability we’ve come to know from the last 100 years of diesel engines, and then sees that the cost of say, ammonia fuel, is now lower than diesel, and no changes are needed to run it. That’s pretty cool. 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This system integrates together different quantum components, each performing different functions with the data, including processing, communication, and memory. Integration of different specialized components that efficiently work together to complete the calculation is precisely how classical computers work. No other quantum hardware company has yet tackled the integration challenge. AuroraQ will be the Dell of quantum computing, sourcing components from our partners to build a better quantum computer. 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Our technology reduces the burden on human workers, allowing them to focus on building closer connections with customers.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/94f263ae-be8f-49a6-b20a-3d3a8fc988b9)\n\n## **The Problem: Restaurant Price Inflation**\n\nAccording to Finance Buzz, restaurant prices increased by an average of 60% between 2014 and 2024—nearly double the national inflation rate. To make matters worse, service quality has declined. CNBC reports that 25.9% of Starbucks customers experienced longer wait times, reflecting a broader trend of labor shortages in the industry.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/7b2798ce-cc88-4789-98cf-124637dd96cc)\n\nWhy is the labor shortage happening?\n\nMany workers view server or barista roles as unsustainable long-term careers, especially on minimum wage, leading to **high turnover rates**, such as **130.7%** in 2020. This forces businesses to incur additional expenses for hiring, training, and maintaining staff while overburdening existing employees to stay profitable.\n\n# **Our solution**\n\nWe're here to change the game—making businesses profitable while ensuring workers find satisfaction and sustainability in their roles.\n\n[YC launch Video](https://youtu.be/3cQhbJTUL10)\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/ec24464e-a9a9-4eda-b0ce-52e69a6884d4)\n\nOur system is a high-throughput, modular, and reconfigurable solution, designed to serve as a flexible multi-category food and beverage assembly line. By automating routine and production-heavy tasks, it reduces the burden on human workers, allowing them to focus on building closer connections with customers—answering questions, addressing their needs, and fostering meaningful interactions.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/10db4630-8784-4114-a96f-85cf52a555f3)\n\n# **Our ask**\n\nWe’d love to hear from you:\n\n* **Support Our Crowdfunding Campaign:** \n* **Franchising Interests:** Let’s explore how we can grow together.\n* **Partnership Opportunities:** If you have an existing brand and want to integrate our solution, let’s collaborate!\n* **Join the Waitlist for Coffee Shop in a Box:** Email us at [business@yummy-future.com](mailto:business@yummy-future.com)\n\nWe look forward to connecting and working together!\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/a9c1edd9-fbb1-46d2-9f04-5d274611c758)\n\n", "url": "https://www.ycombinator.com/launches/MXH-yummy-future-robot-workforce-for-the-food-beverage-industry", "votes": 10, "created_at": "2025-01-07T01:36:29.570Z" } ] }, { "id": 12737, "name": "Tensil", "slug": "tensil", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aefe6d1c4f47d9ef26a3296e1724c3efe9bd5ac.png", "website": "https://www.tensil.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Tensil automates machine learning hardware accelerator design. 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He has first author publications in multiple journals, including Science Robotics, and his work is featured in TechCrunch, Popular Science, and Spotify’s Soft Robotics podcast.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wilson-ruotolo-679a6697/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57aabf53f1d51058462c50a0b5e4664dc4cd9ebe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65014, "title": "🍄 Hedgehog - Robotic mushroom farms", "tagline": "Growing mushrooms & fungi for 1/3rd cost.", "body": "**tl;dr** Hedgehog builds robotic farms that grow mushrooms and fungi for 1/3rd the cost. Fungi produce protein-rich foods with near-zero environmental impact. Our tech is unleashing them as our next major food source.\n\nHey everyone! We’re Jamie & Wilson, co-founders of Hedgehog.\n\n**Opportunity: Fungi - our next major food source?**\n\n![uploaded image](/media/?type=post&id=65014&key=user_uploads/995535/6274e56c-e42e-41de-97aa-a0e6bc59c109)\n\nFungi are unique crops. They transform agricultural waste (corn husks, wheat straw, etc.) into protein-rich, meaty-tasting food. And they do it without arable land, irrigation, or energy intensive lighting. With 30% of global greenhouse gas emissions coming from food, this is an opportunity we must seize. Fungi are our chance to produce quality food at scale with near-zero environmental impact.\n\n**Problem: They’re labor intensive** \\\nUnfortunately, producing mushrooms and fungi is labor intensive, limiting their scale and affordability. For even the most sophisticated mushroom and fungi farms, labor is the vast majority of cost. They require delicate handling and careful monitoring – difficult jobs to automate.\n\n**Solution: Robots** \\\nOh yeah. Robots. We’re building robotics and AI to automate each step of production. Autonomous dexterous manipulation harvests, breaks down, and packages the mushrooms. Computer vision and low-cost sensors power decisions like when to harvest. AI optimizes >60 dimensions to increase yield. Eliminating labor and increasing yield will reduce costs by 70%+.\n\n \n\n\\*\\*How you can help:\\*\\*\\\nWe aim to unleash fungi as our next major food source, making these healthy, sustainable foods affordable for anyone. If you’re interested in helping out, we’d love to meet:\n\n* A+ talent in robotics and ML\n* Mushroom growers\n\nReach out at [hello@hedgehogfoods.com](mailto:hello@hedgehogfoods.com)\n\nJamie & Wilson\\\n🦔", "url": "https://www.ycombinator.com/launches/Guc-hedgehog-robotic-mushroom-farms", "votes": 272, "created_at": "2022-07-29T22:20:01.173Z" } ] }, { "id": 27361, "name": "Polymath Robotics", "slug": "polymath-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d6f5a2035d19900b2a4411b03d2c1998b0aaa5e.png", "website": "http://www.polymathrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Polymath is building a general autonomy stack for cautious vehicles. Our software allows any industrial vehicle - whether it's a tractor in a field or a bulldozer in a mine, drive itself. We bundle together AI, ML, Controls, ROS, Safety and best-in-class deployment practices to enable our customers to tell automated vehicles to do via a REST API.\r\n\r\nWe're on more robots than we have engineers, are seeing our revenue (and robotic fleet) grow rapidly, and are looking for folks who want to help automate the world.", "one_liner": "General Autonomy for Industrial Vehicles", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1659110769, "tags": [ "Hard Tech", "Machine Learning", "Robotics", "Unmanned Vehicle", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/polymath-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/polymath-robotics.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/polymath-robotics/", "x_url": "https://twitter.com/polymathrobots", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/polymath-robotics", "github_url": "https://github.com/polymathrobotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d6f5a2035d19900b2a4411b03d2c1998b0aaa5e.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/27421/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPVLLM2EU%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022709Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCIERmcK8Cf9%2Btw509DI59PWqE38RRTAlvZa4J3JDwHNfvAiAayM%2BKkNtOvjgd758WgPB4q6%2BUu3dhFEeIBKJdEEYmHirlAwg5EAAaDDAwNjIwMTgxMTA3MiIMT2KDc6%2BsqQRelJt7KsIDHKXozlWP2zRm6TyaI63cZu7UdMNJI84LhfrBVoBzKOZrazhBds2e6DhqALWGgEHuhaH96sBW1vGKF0SZPA8JEf%2FhnbI%2B0LPups6efXBWO1aKfnU6HWjkfPemBseL1V1dBRWh3MHmM%2BS0wsfJmaYaFWTcHaaVraOkFgeuvtIGQt%2FnimlcxYe9MQMOeYiPnm5yfGLPkCnGOvHZGDepzR19xj6ZjRi9QZRcX734o%2BDyXGZIQOACA5etqDAXBP7fbW8udzjKK9cHEGPamT7IlaTLAWBWnDjL2T9zw8ZCXoeolYzeaw3DTEK0tdnm9pXjkPGWxrNUNlecD6CiG7M3gr2Lm8eody0o9pj5Ec9BIcJ09i9djYQp%2F9Qt3RQagWspbZEm0RIM98ukXmmQO%2Br5NwFl2BqP7h04EVZMR4%2FxuoUkyMfNGipkzTdDAKGOV2wo7LqFqinznpZBKbguQ%2Fg6wWy40kCNyoPguBPf8GYzzIvusP5x6bf1QHvMlXyb8ElzS4lScRKm7v5GhARAJq%2BveXuxU3aR2lwL84TF9HIpOZ6loG5wOggyMO5KqHtaunl14wjKV3M6InDmt6%2F5NLTGbL6N0P36MOn92tYGOqYB%2B%2FclWb0gxQJ%2FmXWJ%2FID3oboHUM%2BqcRMUObsJl1yosDN9kekbLFwXPJS0wjujDnQuGXhjbEK0yPyr8Dgq35lBDPMlxWRQ8upAxHpp%2F0cruekkJPyONG5qpVv25DqS52YxtylQ0pbERuY6rX1AFi5Hwd5%2FQJgU8TuncKO5FjbC0OPiim0nrZjMnv3t4R3u06MVK4%2FRj2yhCS4qwhYGeOsJdP79%2BCqZqQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=2d77a18679f1e00728c184a75ac296cdaf10b92f8ba58f1c6ff59af4af5e4475", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/03d7e2f03b4d93b6f9bd8dcadf40461a45f4ef53.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 136341, "full_name": "Stefan Seltz-Axmacher", "title": "Founder", "founder_bio": "Robots that are buildable and valuable are the most magical.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefanseltzaxmacher", "x_url": "https://twitter.com/stefanesa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a976b8c7814c0a2985a3b21bdfae3f0e1cf5fd0.jpg" }, { "user_id": 920849, "full_name": "Ilia Baranov", "title": "Founder/CTO", "founder_bio": "There is a certain enchanting magic that comes from working with robots;\nBy waving our hands, we can make machines seem alive.", "is_active": true, "linkedin_url": "http://linkedin.com/in/iliabaranov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c64fc8a7f715908988488379782f0e67bf6d8b88.jpg" } ], "jobs": [ { "id": 90535, "title": "Associate, Customer Program Management", "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/M1qC4rT-associate-customer-program-management", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$100K - 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$150K", "equity_range": "0.03% - 0.06%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 116081, "title": "Autonomous Vehicle Test Specialist – San Francisco", "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/KcVZbqK-autonomous-vehicle-test-specialist-san-francisco", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$70K - $100K", "equity_range": "0.01% - 0.03%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The 30 Early-Stage Startups in 2026 Most Likely to Become Tech's Next Unicorns - Business Insider", "url": "https://www.businessinsider.com/the-30-early-stage-startups-in-2026-most-likely-to-become-techs-next-unicorns-2026-3#polymath-robotics-21", "date": "Mar 03, 2026" }, { "title": "Case Study: Polymath Robotics and ConGlobal Collaboration", "url": "https://www.polymathrobotics.com/blog/case-study-polymath-and-conglobal", "date": "Feb 12, 2025" }, { "title": "CES 2025: Self-driving cars were everywhere, plus other transportation tech trends | TechCrunch", "url": "https://techcrunch.com/2025/01/12/ces-2025-self-driving-cars-were-everywhere-plus-other-transportation-tech-trends/", "date": "Jan 12, 2025" }, { "title": "Autonomous vehicles are having a moment and other vibes from CES 2025 | TechCrunch", "url": "https://techcrunch.com/2025/01/09/autonomous-vehicles-are-having-a-moment-and-other-vibes-from-ces-2025/", "date": "Jan 09, 2025" }, { "title": "Polymath Robotics to share lessons learned as a SaaS-based startup at RoboBusiness - The Robot Report", "url": "https://www.therobotreport.com/polymath-robotics-to-share-lessons-learned-at-a-saas-based-startup-at-robobusiness/", "date": "Aug 14, 2024" } ], "launches": [ { "id": 65002, "title": "📍 Polymath Robotics: plug & play autonomy for industrial vehicles", "tagline": "Polymath lets you easily add autonomy to any industrial vehicle, and build your own applications via Rest API.", "body": "Hey, we’re Stefan & Ilia, founders of Polymath Robotics.\n\n**Polymath makes autonomy software for industrial vehicles.**\n\nToday we’re excited to introduce **Caladan**: a set of simulated vehicles & environments you can use to build autonomous industrial vehicle applications via Rest API.\n\n### **The problem**\n\nBuilding an autonomous industrial vehicle is a multiyear, multimillion-dollar project. Just getting a vehicle to drive itself reliably takes 6 months of engineering effort at a minimum. Even then, the autonomy itself is often buggy and unreliable, and impossible to transfer across different vehicle types.\n\nAs a result, many autonomy companies run out of steam before they even have a reliably-working product … let alone product-market fit.\n\n### **Our solution: general autonomy software**\n\nPolymath software handles generalized basic autonomy — in other words, **driving around and not hitting stuff** — for any industrial vehicle in a controlled environment. That means autonomous industrial vehicle companies can have an autonomous vehicle on day 1.\n\nSince we’re _just_ working on autonomy, we can focus on making the system **stable and reliable.** No more battling with weird controls issues or buggy obstacle detection.\n\n### Caladan: build on Polymath autonomy in simulation\n\nCaladan makes it easy to build autonomous vehicle behaviors in sim. The tool is a set of simulated vehicles & environments you can use to interact with Polymath autonomy via Rest API.\n\nThat means you can program custom autonomous vehicle behaviors and applications using Python, not ROS. And when you’re ready, whatever you’ve built in Caladan can seamlessly transition to a physical vehicle.\n\n### Product demo / example application\n\nHere’s an example application you could build with Caladan (you can download the example code [here](https://github.com/polymathrobotics/caladan_examples)).\n\n\n\nThe free version of Caladan comes with a simulated farm environment or simulated port environment. You can also reach out to us about a custom environment & vehicle in Caladan.\n\n### **Does Polymath autonomy work for my vehicle/use case?**\n\nPolymath autonomy is limited to industrial vehicles in closed environments, since the system will stop immediately if there’s trouble, and fall back on teleoperation in hazardous situations.\n\n**Use case examples:** ⛏ Mining trucks • 🚜 Agricultural vehicles • 🌲 Logging trucks • ✈️ Ground support equipment at airports • 🚢 Yard trucks\n\n### **Can I try it?**\n\nHeck yeah. You can try Caladan for free by signing up [here](http://polymathrobotics.com/product).", "url": "https://www.ycombinator.com/launches/GuQ-polymath-robotics-plug-play-autonomy-for-industrial-vehicles", "votes": 67, "created_at": "2022-07-29T15:56:38.207Z" } ] }, { "id": 29185, "name": "Relari", "slug": "relari", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png", "website": "https://www.relari.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Relari is a robotics research company developing new ways for robots to learn dexterous manipulation from humans. We combine video with rich, scalable biomechanical data—including electromyography (EMG), motion, force, and touch—to train robotics foundation models for more capable, human-like manipulation.", "one_liner": "Building dexterous robots that learn from human biomechanics", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709879960, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/relari", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/relari.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relari", "x_url": "https://x.com/relariai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/relari-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/23fd0aa60eb175a501ea1228afb056d31d6dc5bf.png" ], "primary_partner": null, "founders": [ { "user_id": 983988, "full_name": "Yi Zhang", "title": "Founder", "founder_bio": "Co-Founder & CEO of Relari. Previously building autonomous cars & trucks at Pony.ai and warehouse robots at Dexterity.ai. Harvard MBA.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yizhang0123", "x_url": "https://twitter.com/Yiszzzz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d055e5f1485a40abcce6e3419a1108537fecd4a4.jpg" }, { "user_id": 1884040, "full_name": "Pasquale Antonante", "title": "Founder", "founder_bio": "Co-Founder & CTO of Relari. I have a PhD from MIT focusing on the reliability of complex AI systems such as autonomous cars. Previously at NVIDIA and Raytheon Technologies (previously United Technologies).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pasquale-antonante-5306524a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45803c3461bd6b70f33bfa7b9c35a577b4825f7d.jpg" } ], "jobs": [ { "id": 106785, "title": "Research Engineer, Robot Learning", "url": "https://www.ycombinator.com/companies/relari/jobs/vZgIE15-research-engineer-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106811, "title": "Research Engineer, Human Biomechanics", "url": "https://www.ycombinator.com/companies/relari/jobs/xoRkCNW-research-engineer-human-biomechanics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106812, "title": "Hardware Engineer", "url": "https://www.ycombinator.com/companies/relari/jobs/CLokIVv-hardware-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106813, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/relari/jobs/WfW1xjj-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$40 - $60 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 106814, "title": "Data Operations Lead", "url": "https://www.ycombinator.com/companies/relari/jobs/pjJ1WLP-data-operations-lead", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 91726, "title": "Nuvi – The AI Agent Builder for Software 3.0", "tagline": "Write specs in natural language. Get working agents. It’s that simple.", "body": "![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7e12281e-7f3b-4f82-b803-dd815931d5c8)\n\n### **TL;DR**\n\nEveryone wants to build AI agents. But doing it right is still way too hard.\n\nYou can build a website with natural language in tools like Lovable. But if you want to build AI agents, you're stuck dragging blocks or writing code.\n\n[**Nuvi**](https://www.nuvi.dev) is the AI agent builder for Software 3.0: Write specs in plain English. Get testable, verifiable behavior — out of the box.\n\n---\n\n## **❌ The Problem**\n\nBuilding AI agents still means building behavior manually — whether you’re writing code, dragging blocks, or tweaking prompts.\n\n* **Tools like n8n** let you create agents without code, but you’re still wiring up logic step by step.\n* **Tools like Cursor** help you code faster, but you still need to know what code to write.\n\nAt the same time, **tools like Lovable have shown what’s possible with natural language** — you can build and launch a polished UI in minutes.\n\nKarpathy called it years ago: _“English is the hottest new programming language.”_ But while we’ve embraced it for websites and weekend projects, there’s still no reliable Lovable for building AI agents.\n\n**Intelligent software still lacks a way to go from natural language to tested, trusted behavior.**\n\nWe need a system where intent becomes implementation — with structure, simulation, and shared understanding built in.\n\n---\n\n## **🎯 The Solution: Nuvi**\n\nNuvi lets anyone define, build, and deploy intelligent agents using natural language — with the **structure and guarantees** of real software development.\n\nWhat makes us different:\n\n🧠 **All in Natural Language**\n\nIf you can explain what you want, Nuvi helps you build it. No coding, no frameworks, no LLM know-how required.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/e8536123-efac-4c99-8924-a3798a077a15)\n\n**🤝 Built for Collaboration**\n\nSpecifications are readable, editable, and versioned — so people across different teams stay aligned.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/2b0f6f88-9d1d-473b-8e76-6e8c3ad190eb)\n\n🧪 **Fully Tested by Default**\n\nUser stories become behavioral tests. You can simulate how your agent behaves _before_ launch — and continuously validate after. Using only language.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/d18df70f-0181-4ec0-83f0-208bab3379aa)\n\n⚙️ **One-Click Deployment**\n\nClick to deploy. Built-in access control and integrations mean you go from idea to agent in minutes.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7c089cfe-87e5-44c6-9472-e81963a1431f)\n\n---\n\n## **✅ Nuvi Agents at Work**\n\nAgents built with Nuvi are already transforming how real work gets done — here are a few examples:\n\n* A legal SaaS company built a custom BDR agent that scans hundreds of court filings daily, flags high-complexity cases, and drafts tailored outreach directly in HubSpot.\n* A mortgage brokerage built a fulfillment agent that processes messy loan documents, checks them against underwriting rules, and saves hours of manual review on every application.\n* An international nonprofit built an AI coach that interviews underserved small business owners, generates detailed financial forecasts, and dramatically scales personalized support.\n\n---\n\n## **💡Our Secret sauce: Specification-as-Source**\n\nIn his recent AI Startup School keynote, Andrej Karpathy revamped the idea of **Software 3.0** — where we write software using English instead of code.\n\nBut English alone isn’t a programming language. If it were, we wouldn’t have invented C or Python. For English to work as code, it needs structure (but we can now relax how much structure we need). That’s what Nuvi provides.\n\n**🧠 1. AI Specification Assistant**\n\nDescribe the agent in plain English. Nuvi helps you clarify goals, cover edge cases, and remove ambiguity — like a linter for intent.\n\n**🧾 2. Specification-as-Source**\n\nThe spec _is_ the agent’s source code. It’s structured, complete, and readable by both humans and machines.\n\n**⚙️ 3. One-Click Agent Compilation**\n\nWe compile your spec into a live agent. Just like devs once implemented PRDs — but this time, the AI does it.\n\n**🧪 4. Simulation & Continuous Testing**\n\nUser stories become test cases. You can simulate the agent’s behavior before launch — and verify it keeps working after.\n\nNuvi is the behavioral compiler for Software 3.0. Not another prompt wrapper. Not another no-code toy. Real behavior. From real specs. Written in plain English.\n\n---\n\n## **🙌 Our Ask**\n\n* Try Nuvi and build your first agent — all in plain English.\n* Want to join the mission, collaborate, or write about us? Reach out at [nuvi.dev](https://www.nuvi.dev/)", "url": "https://www.ycombinator.com/launches/NrS-nuvi-the-ai-agent-builder-for-software-3-0", "votes": 17, "created_at": "2025-06-30T16:10:38.865Z" }, { "id": 79322, "title": "Relari - Testing and simulation stack for GenAI systems", "tagline": "Relari helps AI teams simulate, test, and validate complex GenAI applications throughout the development lifecycle.", "body": "# **TL;DR**\n\n[Relari](https://www.relari.ai/) is an open-source platform to simulate, test, and validate complex Generative AI (GenAI) applications. With 30+ open-source metrics, synthetic test-set generators, and online monitoring tools, we help AI app developers achieve a high degree of reliability in mission-critical use cases such as compliance copilot, enterprise search, financial assistance, etc.\n\n# **⭐ Meet the Relari Team**\n\nHi everyone, [Yi](https://www.linkedin.com/in/yizhang0123/) and [Pasquale](https://www.linkedin.com/in/pasquale-antonante-5306524a/) from [Relari](https://www.relari.ai/) here. We both spent years building safety-critical AI applications, particularly in autonomous driving and robotics. Pasquale has a PhD from MIT where he researched fault detection in complex AI systems. Yi has an MBA from Harvard and led multiple AI products from concept to production including robo-taxis, self-driving trucks, and warehouse robots.\n\n![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/a8982b08-9cda-4741-bc17-eb3df31679e1)\n\n# **💡 Our Inspiration: Autonomous Vehicles**\n\nJust like autonomous vehicles promise to change how we move, GenAI applications promise to revolutionize the way we work. However, ensuring these systems are safe and reliable requires a shift in the development process. Autonomous vehicles need to drive billions of miles to ensure that they are safer than human drivers. This would take decades, so the industry relies on simulation and synthetic data to efficiently test and validate each iteration of the self-driving software stack.\n\nWe see a strong parallel in the world of GenAI. At [Relari.ai](https://www.relari.ai/), we are building towards a future where a similar infrastructure will enable complex and powerful applications based on large language models (LLMs).\n\n# **🔴 Problem: GenAI Apps are Unreliable**\n\nLLM-based applications can be inconsistent and unreliable. This blocks GenAI’s adoption in mission-critical workflows and hurts user confidence and retention once deployed to production. Good testing infrastructure is paramount to achieving the quality users demand, but GenAI app developers across startups and enterprises struggle to define the right set of tests and quality-control standards for deployment.\n\nThe main challenges the AI teams face are:\n\n* **Complex Pipelines:** GenAI pipelines are getting increasingly more complex and it is often difficult to pinpoint where problems originate.\n* **Gap from Evaluation to Reality:** There is a huge gap between the metrics used in offline evaluation and user feedback, leading to distrust in offline evaluation results.\n* **Lack of Relevant Datasets:** Public datasets are overfitted by models and often not relevant to specific applications. However, manual curation of custom datasets is extremely time-consuming and costly.\n\n# **🚀 Solution: Harden AI Systems with Simulation**\n\nRelari offers a complete testing and simulation stack for GenAI pipelines designed to directly address the problems above. Relari allows you to:\n\n* **Pinpoint problem root causes with modular evaluation:** Define your pipeline and flexibly orchestrate modular tests to quickly analyze performance issues. Our open source framework offers 30+ metrics covering text generation, code generation, retrieval, agents, and classification with more coming soon.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/04a313af-1bb9-4469-a9d3-4f89c5132aa5)\n\n* **Simulate user behavior with close-to-human evaluators:** Leverage user feedback to train custom evaluators that are 90%+ aligned with human evaluators (backed by our research). Introduce a feedback loop connecting your production system and the development process.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/908218e2-4462-43d5-a23d-7c005c927a29)\n\n* **Accelerate development with synthetic data:** Generate large-scale synthetic datasets tailored to your use case and stress test your AI pipeline. Ensure coverage of all the corner cases before shipping to users.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/d78bb49e-ec9d-4519-909b-b46532751380)\n\n\n# **❤️ Our Ask**\n\n* ⭐ Star us on Github ([link](https://github.com/relari-ai/continuous-eval))\n* 📅 Book a demo with us ([link](https://cal.com/pasquale/relari-demo))\n* 👉 Introduce us to AI / ML / Data Science teams building mission-critical GenAI applications ([founders@relari.ai)](mailto:founders@relari.ai)", "url": "https://www.ycombinator.com/launches/KdO-relari-testing-and-simulation-stack-for-genai-systems", "votes": 75, "created_at": "2024-03-12T17:42:49.322Z" } ] }, { "id": 29241, "name": "Tekton Dynamics", "slug": "tekton-dynamics", "former_names": [ "MAIHEM", "Maihem" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c88f8c82a6ce22ef99621a0f594acb23ef6aa48f.png", "website": "https://www.tekton-dynamics.com", "all_locations": "London, England, United Kingdom", "long_description": "Our mission is to empower every manufacturer, no matter their scale, to invent and build anything using intelligent robots.\r\n\r\nToday’s industrial robots are fast but \"blind\". They struggle with any task that isn't perfectly repetitive. We are building the eyes and brain (a proprietary vision system and AI model) that allow industrial robots to see, reason, and perform complex work with sub-millimeter accuracy and the adaptability of a human expert.\r\n\r\nWe are witnessing the start of a new industrial revolution: an era of advanced manufacturing powered by AI and robotics. We aim to lead this shift by putting these tools into the hands of every manufacturer, ensuring the power to invent and build at scale isn’t a privilege of the few.", "one_liner": "AI control layer for welding robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1706234384, "tags": [ "Robotics", "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tekton-dynamics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tekton-dynamics.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/maihem/", "x_url": "https://x.com/maihem_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/maihem", "github_url": "https://github.com/maihemlabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c88f8c82a6ce22ef99621a0f594acb23ef6aa48f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1616651, "full_name": "Max Ahrens", "title": "Founder/CEO", "founder_bio": "Max is the Founder & CEO of Tekton Dynamics. He did his PhD and Postdoc in Machine Learning at the University of Oxford. During his Postdoc, he was also the Project Leader of a +$500,000 research grant which he was awarded by the Alan Turing Institute and the British Ministry of Defence. Previously, he worked as a consultant with McKinsey.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximilianahrens", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80bef22695b3397da58980f1c3ebd03912d55d75.jpg" } ], "jobs": [ { "id": 96215, "title": "General Application", "url": "https://www.ycombinator.com/companies/tekton-dynamics/jobs/wfu5lO9-general-application", "location": "London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£75K - £180K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 96216, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/tekton-dynamics/jobs/knCVBh5-founding-engineer", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£100K - £150K GBP", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Machine Learning", "Deep Learning", "Computer Vision", "CAD Design" ] } ], "news": [], "launches": [] }, { "id": 29273, "name": "Pivot Robotics", "slug": "pivot-robotics", "former_names": [ "Pivot AI", "Pivot Robots" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee0d44cf8688258862f3d2457491a3a79d07f53c.png", "website": "https://pivotrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pivot Robotics makes AI software for robotic arms that helps manufacturers automate their most labor intensive tasks. We are starting out with the dangerous task of metal grinding and are currently deploying our software on 10+ robots in a cast-iron foundry. ", "one_liner": "AI for Robot Arms in Factories", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709584102, "tags": [ "Robotics", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pivot-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pivot-robotics.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pivot-robots/", "x_url": "https://twitter.com/pivotrobots", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee0d44cf8688258862f3d2457491a3a79d07f53c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1333819, "full_name": "Siddharth Girdhar", "title": "Founder/CEO", "founder_bio": "AI, Robots, Soccer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/siddharthgir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd54777195d0ae4314e22e6d32d4a65a6dc013f1.jpg" }, { "user_id": 509746, "full_name": "Vignesh Rajmohan", "title": "Founder/CTO", "founder_bio": "Co-Founder of Pivot Robotics", "is_active": true, "linkedin_url": "https://linkedin.com/in/vignesh-rajmohan", "x_url": "https://twitter.com/vrajmo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7e3e1feba2670721b48a43c0bac55297d9433ef.jpg" } ], "jobs": [ { "id": 73893, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/pivot-robotics/jobs/0sRNlmU-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $160K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "Computer Vision" ] }, { "id": 88453, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/pivot-robotics/jobs/IDlqU83-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $160K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "Computer Vision" ] } ], "news": [ { "title": "YC-backed AI startup Pivot Robots raises funding from NuVentures", "url": "https://www.business-standard.com/companies/start-ups/yc-backed-ai-startup-pivot-robots-raises-funding-from-nuventures-124070100581_1.html", "date": "Jul 01, 2024" } ], "launches": [ { "id": 79034, "title": "Pivot Robotics - Automating high-mix manufacturing with AI", "tagline": "Pivot Robotics builds software to tackle the next frontier of manufacturing automation.", "body": "**TL;DR** We’re building this -\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/b2c4bca3-62a5-4591-9743-29683d930076)\n\nAnd we are Ex-Google and Meta robotics engineers that are using foundation vision models to solve the riddle of high-mix to redefine American manufacturing.\n\n—\n\n### **🚨 The Problem:**\n\nU.S. manufacturing is making a comeback for the first time since the 1970s, but there is a problem: **Nobody is filling these jobs**. Decades of decline and entire generations shying away from manufacturing jobs have left the industry facing an expected 2.4 million jobs going unfulfilled by 2030. \n\nThe obvious solution is to use robots, but **75% of all U.S. manufacturers are effectively unable to use traditional robotic automation** due to their high-mix production: they produce a wide array of products in small quantities. Traditional automation is rigid and needs new fixturing and re-programming for each part, and doesn’t provide ROI for high-mix manufacturers since so little of each part is produced. \n\nIf America is unable to capitalize on the current manufacturing and AI boom, we lose out on **$1 trillion per year in opportunity cost** and the chance to strengthen our weakened industrial base. High-mix manufacturers are a crucial component for this and they urgently need adaptable automation solutions that can cheaply handle their large variety of parts. \n\n### **🦾 Our Solution:**\n\nPivot Robotics combines off-the-shelf robots and vision sensors with our pioneering AI vision control software to give industrial robots the ability to adapt. Our first product, Proteus, addresses the dangerous and unpopular task of grinding metal parts, offering zero-shot adaptation to new parts with the same precision, and efficiency. **We do this by leveraging the latest advances in foundational vision models**, allowing us to avoid the large data requirements that prior attempts of adding vision to industrial robots faced. We are currently engaged in a **pilot to deploy 10+ Proteus systems** at a large cast iron foundry that produces over 200 different parts a year.\n\n### **🤝 Who We Are:**\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/dca22c09-4fc2-4c3c-aa64-5482d6880583)\n\nWe both met on the first day of college at Carnegie Mellon University, living 2 doors across from each other. \n\n[Siddharth](https://bookface.ycombinator.com/user/1333819/linkedin_redirect?key=74798b374abfa1117de67acaa6e2c7591293097d) has worked on self-driving cars at Uber ATG, AI at Meta, and most recently was designing multi-agent algorithms for warehouse robots at Nimble Robotics.\n\n[Vignesh](https://bookface.ycombinator.com/user/509746/linkedin_redirect?key=102ec6e610057e9a5088e60101031188a7145ab9) optimized motion planning for general-purpose robots at Google X, researched LLM applications for robotics in the Atkeson Lab, and worked on manipulation at ABB.\n\nBoth of us are inspired to use our robotics experience to solve real-world labor problems after watching our respective parents’ careers in these industries (agriculture and manufacturing).\n\n### 🔮**The Future:**\n\nExpanding our vision technology to develop hand-eye coordination for robot arms, enabling the automation of tasks beyond grinding, like materials handling and assembly for high-mix manufacturers.\n\n### **🙏Our Ask:**\n\nWe’re looking for introductions to manufacturing partners eager to embrace AI-driven automation and investors who share our vision for the future of manufacturing.\n\n### **✉️ Contact Us:**\n\nReach out at [founders@pivotrobotics.com](mailto:founders@pivotrobots.com) and follow us on [Twitter](https://twitter.com/pivotrobots)/[Linkedin](https://www.linkedin.com/company/pivot-robots/) for updates and cool demos.", "url": "https://www.ycombinator.com/launches/KYk-pivot-robotics-automating-high-mix-manufacturing-with-ai", "votes": 136, "created_at": "2024-03-04T20:30:42.743Z" } ] }, { "id": 29402, "name": "Yondu", "slug": "yondu", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png", "website": "https://yondu.ai/", "all_locations": "Los Angeles, CA, USA", "long_description": "Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs.", "one_liner": "Robots to Automate Fulfillment", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709280983, "tags": [ "Hard Tech", "Robotics", "Logistics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/yondu", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/yondu.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/yonduai/", "x_url": "https://twitter.com/yonduai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a96f5a9a53d9ee9d1ca8ef51cb6f294eab9b6ad6.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 782277, "full_name": "Michael Chen", "title": "Founder/CEO", "founder_bio": "Michael Chen is at a unique crossroads with a background in intelligent machines from MIT and research experience at the forefront of robotics and AI. He helped build an open source bipedal robot at MIT CSAIL. Michael is an avid entrepreneur who has always loved business (even owning a sauce brand). For fun, he builds all sorts of cool machines ranging from FPV drones to train track cleaning robots to gasoline powered snowboards. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/michael-chen-17464a1b1", "x_url": "https://twitter.com/chenouttaten", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16760bb043b9bd6619773df1464be0a224e3f300.jpg" }, { "user_id": 1547615, "full_name": "Tahmid Jamal", "title": "Founder/CTO", "founder_bio": "Tahmid graduated from MIT with degrees in AI and AeroAstro. There he's worked on projects ranging from language model compression and quantization to astrodynamics simulations for a solar research proposal to NASA. He was doing his master's researching uncertainty estimation methods in deep learning before dropping out to participate in YC. In his free time, he enjoys movies, board games, and climbing the occasional tree.", "is_active": true, "linkedin_url": "https://linkedin.com/in/74hm1d", "x_url": "https://twitter.com/74hm1d", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc90be30b2779e01b76edb62c535d5bb13944890.jpg" } ], "jobs": [ { "id": 71111, "title": "Active Interest for Engineers", "url": "https://www.ycombinator.com/companies/yondu/jobs/DEor4se-active-interest-for-engineers", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Torch/PyTorch", "Linux", "Deep Learning", "Reinforcement learning (RL)", "Docker", "Computer Vision", "Microcontrollers", "CAD Design", "PCB design", "Sensor integration" ] }, { "id": 74730, "title": "Robotics Researcher", "url": "https://www.ycombinator.com/companies/yondu/jobs/QAKnidR-robotics-researcher", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 87004, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/yondu/jobs/l6z04IP-senior-robotics-engineer", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Python", "Linux", "Docker", "Sensor integration" ] }, { "id": 107166, "title": "Robot SWE", "url": "https://www.ycombinator.com/companies/yondu/jobs/fOsMYvM-robot-swe", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $200K", "equity_range": "0.20% - 1.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Python", "Linux", "Docker" ] }, { "id": 113732, "title": "Robotics Hardware Engineer ", "url": "https://www.ycombinator.com/companies/yondu/jobs/Y0Ek2e8-robotics-hardware-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - 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$6K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95475, "title": "Yondu AI ➡️ Enabling the robot workforce of the future", "tagline": "Yondu is the platform for robot labor starting with drop-in order fulfillment automation", "body": "### **We are a platform-to-application company that puts robots in warehouses and makes them useful on day one. Our state-of-the-art remote teleoperation gives immediate efficiency gains, with our robot behavior models gradually taking over to reach full automation and drive costs down further. We’re starting with mobile order fulfillment, where a huge chunk of warehouse labor spend sits.**\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/e8add669-ff4f-4eaa-9579-da70973fc77b)\n\n[https://www.youtube.com/watch?v=GzglTuRloCo](https://www.youtube.com/watch?v=GzglTuRloCo&t=1s)\n\n### ——————————————————————————————\n\n# **The timing**\n\nGeneral purpose robot **hardware has gotten 10x cheaper** in the past decade. And advancements in robot learning are helping automate **long-form, complex tasks**. **BUT** it’s still hard to achieve the **perfect human level success rates necessary** for deployment! The **opportunity lies in automating the shorter-form, easier-to-master tasks** that still have a level of complexity that made them impossible to automate in the past. The logistics field is full of these types of problems…\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/8a3ea638-c361-46bd-8276-97be15ccf669)\n\n_A simple, fully autonomous pick at 1× speed_\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n### ——————————————————————————————\n\n# **The problem in mind**\n\nOrder picking labor can account for up to **50%** of warehouse manual operating costs. Pickers often walk **miles** per shift! Warehouses still rely on people for repetitive, physically demanding tasks with high turnover. Existing order fulfillment automation falls into two buckets:\n\n\\- **ASRS (Automated Storage and Retrieval Systems)**: Basically turns a warehouse into a giant 3D robot grid system. It gets high throughput but costs tens of millions and requires an overhaul of warehouse space. 😢 **_HIGH COST_**_, 😊 **HIGH AUTOMATION**_\n\n\\- **AMR (Autonomous Mobile Robots)**: These robots carry shelves and goods around which reduces walking time. But they still require human picking. 😊 **_LOW COST_**_, 😢 **LOW AUTOMATION**_\n\n### ——————————————————————————————\n\n# **OUR SOLUTION**\n\n**We’ve created a 3 part embodied-AI platform that automates bin picking using off the shelf robots in brownfield deployments. 😊 _LOW COST, 😊 HIGH AUTOMATION_**\n\nhttps://youtu.be/UVmMSui2_FQ\n\nWith **ULTRON** (user-friendly low-latency **remote teleoperation** system) we **deploy first**, putting robots to use immediately in our customers’ operations and spinning up our data flywheel.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/6ddec526-7b14-48db-a5b1-387ea371943e)\n\nOur **WMS** (warehouse management software) **integration and** **orchestration** software routes orders from a warehouse’s WMS to our platform, instructing robots where to go and operators what to pick.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/583a510d-09f3-46e7-8b54-c44e0edc3e9b)\n\nOur autonomy stack **YGM** (Yondu General Manipulation) pushes the system to fully autonomous as we **gain more in-the-wild** experience. Over time the manipulation policy takes over more work and the operator is required less. YGM is responsible for:\n\n* Steering our robot policy to pick and place from the correct bins\n* Identifying how good a job it is doing and whether it is struggling so an operator can take over\n* Learning from new experiences and adapting to succeed in situations that it previously struggled in\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/663a0f0b-53ce-40b5-ad46-95980e70197b)\n\n_Operations in our partner warehouse_\n\n### ——————————————————————————————\n\n# Our Vision\n\nOur platform is **not limited to only helping us conquer bin picking**. Logistics warehouses still have many more repetitive-yet-slightly-complex tasks such as decanting, replenishing, and packing. And as **robot learning capabilities continue to grow**, our pipeline of _deploy→collect→refine→automate_ only increases in value. There will be **more brownfield robotics automation providers** for specific industries and increasingly complex tasks. They will need to integrate with their customers and spin up their own data flywheels. And the Yondu platform will be available for them so they can automate **any task** with **any robot**.\n\n### ——————————————————————————————\n\n# **Team**\n\nWe’ve gathered quite the team. Here are just a few of our talented members\n\n\\- **Michael Chen (CEO)** Ex-MIT Controls and Robotics\n\n\\- **Tahmid Jamal (CTO)** MIT AI & Aerospace\n\n\\- **Lianhao Yin (Head of Research)** MIT CSAIL Postdoc in Robotic Systems\n\n\\- **Jairo Maldonado (Teleop Lead)** Georgia Tech PhD in Robotic Prosthesis\n\n\\- **Mehul Kumar (Founding Researcher)** Industry veteran in VR, humanoids, simulations, and teleop\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/b5914757-4088-48a7-b88b-0252656f6300)\n\n### ——————————————————————————————\n\n# Ask\n\n\\- **3PLs**: If you are in charge of warehouse operations and think you’re spending more resources on a job than you _should_ be, **complain to us**!\n\n\\- **Robotics partner**: If you’re also in the robotics automation space and would like to use our platform, **let’s partner up**\n\n**Reach out to [founders@yonduai.com](mailto:hello@yonduai.com)**\n\n### ——————————————————————————————", "url": "https://www.ycombinator.com/launches/Opv-yondu-ai-enabling-the-robot-workforce-of-the-future", "votes": 58, "created_at": "2025-11-14T18:30:57.452Z" } ] }, { "id": 29557, "name": "Ultra", "slug": "ultra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e0a45197c7d56b15f0976e431a519c2b35929c0.png", "website": "https://ultra.tech", "all_locations": "New York City, NY, USA", "long_description": "Ultra builds practical, general-purpose robots that are deploying—and producing ROI—today.\r\n\r\nUnlike traditional industrial automation that’s rigid and complex, our robots are zero integration (able to be installed in hours, not weeks) and are highly flexible, capable of quickly learning new tasks and delivering immediate value to customers.\r\n\r\nFounded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year.", "one_liner": "Practical, general-purpose robots for repetitive industrial tasks", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723759198, "tags": [ "Robotics", "Logistics", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ultra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ultra.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ultraroboticsco", "x_url": "https://x.com/Ultraroboticsco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e0a45197c7d56b15f0976e431a519c2b35929c0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 36827, "full_name": "Jon Miller Schwartz", "title": "Founder/CEO", "founder_bio": "Robotmaxxing at Ultra. 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Prior to that, he co-founded Layer By Layer, a secure marketplace for 3D-printable products. He holds multiple patents in the field of 3D printing, and received his BS in Computer Science from Harvey Mudd College.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverortlieb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3fc0be0545afe2d8211c303677994e8a2952daa.jpg" }, { "user_id": 1831182, "full_name": "Chetan Parthiban", "title": "Founder", "founder_bio": "Chetan is a Co-Founder and Chief Scientist of Ultra. \n\nHe studied Mathematics and Robotics at the University of Pennsylvania, where he received both his BA and MSE. Chetan has deep experience in applied AI as he was one of the first machine learning scientists at Arena, where he focused on applying machine learning to solve high frequency decision making problems. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chetan-parthiban", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/749af06a053a239e175d1652781dd89476c0a8c5.jpg" } ], "jobs": [ { "id": 74646, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/Dureryz-robotics-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 74651, "title": "Machine Learning Scientist", "url": "https://www.ycombinator.com/companies/ultra/jobs/4eHDieo-machine-learning-scientist", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 1.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine learning" ] }, { "id": 86406, "title": "Senior Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/rrGm2vq-senior-machine-learning-engineer", "location": "NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - 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$350K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102734, "title": "Technical Program Manager, Data & Autonomy", "url": "https://www.ycombinator.com/companies/ultra/jobs/yOuxbEY-technical-program-manager-data-autonomy", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102738, "title": "Founding Product", "url": "https://www.ycombinator.com/companies/ultra/jobs/FBkPnMN-founding-product", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102739, "title": "Head of People", "url": "https://www.ycombinator.com/companies/ultra/jobs/SVLN1F9-head-of-people", "location": "New York, United States", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103176, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/ultra/jobs/Vafn155-head-of-marketing", "location": "New York, United States", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105451, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/ultra/jobs/nHZ29Tq-product-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107001, "title": "Senior Software Infrastructure Engineer ", "url": "https://www.ycombinator.com/companies/ultra/jobs/hyzmpbG-senior-software-infrastructure-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113502, "title": "Data Operations Associate", "url": "https://www.ycombinator.com/companies/ultra/jobs/9jPJKd3-data-operations-associate", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115421, "title": "Head of Hardware", "url": "https://www.ycombinator.com/companies/ultra/jobs/fCC9bhS-head-of-hardware", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117036, "title": "Facilities & Office Manager", "url": "https://www.ycombinator.com/companies/ultra/jobs/IYhbTmv-facilities-office-manager", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117231, "title": "Head of Pilot Operations", "url": "https://www.ycombinator.com/companies/ultra/jobs/nXjHf7e-head-of-pilot-operations", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Ultra raises $62 million for fast-growing ‘robots as a service’ business, announces tie-up with AI research firm Physical Intelligence | Fortune", "url": "https://fortune.com/2026/10/09/ultra-raises-62-million-fast-growing-robots-service-tie-up-ai-research-firm-physical-intelligence/", "date": "Oct 09, 2026" } ], "launches": [ { "id": 83218, "title": "🇺🇸🤖 Ultra - Building the next million robots to automate American warehouses", "tagline": "Warehouses are filled with dull, repetitive tasks still done by people. Ultra makes robots to change that.", "body": "**_TL;DR_**: Ultra robots automate e-commerce order packaging and returns in fulfillment centers. Traditional automation isn't working for warehouses because it's costly, rigid, and often underutilized. Our robots are different: they’re easy to deploy, resilient to changing environments, and powered by AI that’s trained with examples.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/b95e65a5-16bd-4a49-9790-0cf80c5b5c27)\n\nHi everyone - we’re [Oliver](https://www.linkedin.com/in/oliverortlieb/), [Chetan,](https://www.linkedin.com/in/chetan-parthiban/) [Jon](https://www.linkedin.com/in/jmschwartz11/), and [Max](https://www.linkedin.com/in/mfriefeld/). After years of building and scaling manufacturing and robotics companies (_Layer By Layer, S13, and Voodoo Manufacturing, W17_), we’re now focused on bringing automation to the industries that need it most.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/8b8174a9-9ca6-46cc-b6f6-f7b1e854c160)\n\nWe believe we’re at a moment in history when robots can be made accessible and capable enough for mass adoption - and we need it more than ever.\n\n**Labor is harder to come by than it’s been in decades**.\n\nImagine running a warehouse: you hire 20 temp workers to come in one day, but only 15 show up in the morning, and just 5 return after lunch. That’s the reality one of our partners told us they face.\n\nIn 2018, the U.S. entered its first labor shortage in over 60 years. Today, we are short over 1.3 million workers, causing companies to go understaffed or rely on high-churn temp labor.\n\nAnd yet, **traditional warehouse automation isn’t being adopted fast enough**.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/04cde5a1-5136-4f3b-b880-24464506183b)\n\n# **🤖 Ultrabots**\n\nUltra is building robots that can be dropped in at existing workstations and quickly trained to do repetitive tasks. They are more cost-effective than human labor and can operate around the clock, giving your team [✨](https://emojipedia.org/sparkles)superpowers[✨.](https://emojipedia.org/sparkles)\n\nWe use reliable off-the-shelf hardware so we can focus on rapid deployment. The key to unlocking the next million robots is data scale, and the fastest way to get there is to put robots in real-world environments doing useful tasks.\n\n# **⏰ Why Now?**\n\nRecent AI breakthroughs mean we can control robots with neural nets trained with examples, rather than with explicitly programmed routines.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/ebd67a19-babf-4f49-81f4-7994950ed7f7)\n\n_Above is an example of a fully autonomous picking policy we trained on \\~2hrs of data from teleoperating our research arms. The two RGB camera feeds are the input to the model, which outputs the joint+gripper positions at 10Hz._\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/13ced136-d5de-4a57-ade8-cb53e074a4a7)\n\n_Examples of emergent behavior learned from the training data, but not explicitly programmed like what would be required in traditional automation._\n\n# **🙏 Asks**\n\nWe’d love to connect to e-commerce 3PLs and large brands that handle their own fulfillment. You can reach us at [founders@ultra.tech](mailto:founders@ultra.tech). Thanks!", "url": "https://www.ycombinator.com/launches/LeE-ultra-building-the-next-million-robots-to-automate-american-warehouses", "votes": 66, "created_at": "2024-08-20T14:59:15.048Z" }, { "id": 66553, "title": "YC Deals - Access to software deals for employees at YC companies", "tagline": "Employees at YC companies have access to more than 100 discounts and exclusive offers on industry leading tools.", "body": "Hello, [Oliver](https://www.linkedin.com/in/oliverortlieb/) and [Zach](https://www.linkedin.com/in/zach-kamran/) here, software engineers at Y Combinator. We are thrilled to announce YC Deals. \n\nEmployees at YC companies can now leverage one of the major benefits previously only available to YC founders – [YC Deals](https://deals.ycombinator.com/). Through YC Deals, employees have access to more than 100 discounts and exclusive offers on industry leading tools. There are already $500,000 worth of free credits and discounts available, and new deals are constantly being added.\n\n**❌ The Problem**\n\nWe built YC Deals for our companies with a growing team. The founders still want to take advantage of the wide variety of discounts and free credits that YC companies receive, but their employees don’t have access to Bookface (our internal platform for YC founders), where these exclusive deals are listed. \n\n**✨ Our Solution**\n\nNow any employee of a YC company can redeem these deals and help their company save money. Building something new? There are dozens of dev tools like PostHog, Fivetran, and OneSignal.  First HR or ops hire? Get Deel and Stable up and running at a discount. In charge of security? Check out Vanta.  Also find deals on startup staples, like Gusto, GitHub, Algolia, and Amplitude. Help build and grow your company using world-class tools on a startup budget. \n\n![](https://lh5.googleusercontent.com/OVsQc12ujUnJFjcR_OxLDPXrIqj4mEsltXolYe2QhAQEnu2RuZ3Fxv57z2kkc_q2P9rfXhkFKPmJzqM2pJ-th57ArroztYuQQ43o04-PI_6lwk6qWZxnAWciWP6K7x5i8ZTQiBabH2s5ax5vH2n5nh7UUjf1Y4_F3-hK7cxIzjMPxTTyqYIzK0pp)\n\n**👉 Next steps**\n\nEmployees at YC companies can access YC Deals by completing a simple email verification flow using their company email address [here](https://deals.ycombinator.com/).\n\nIf you’d like to offer a deal to the YC community and their employees, you can submit one [here](https://bookface.ycombinator.com/deals/new). \n\nAny additional questions about YC Deals? Visit our FAQs [here](https://deals.ycombinator.com/faq).", "url": "https://www.ycombinator.com/launches/HJR-yc-deals-access-to-software-deals-for-employees-at-yc-companies", "votes": 20, "created_at": "2022-10-06T16:03:12.293Z" } ] }, { "id": 29657, "name": "Azalea Robotics Corporation", "slug": "azalea-robotics-corporation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a43d3ef392fa3a7d4ef89797c2972ddacbdd1b5c.png", "website": "https://azalearobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Azalea Robotics automates airport baggage handling with intelligent robot operations. The global market for airport baggage handling systems is $20+ billion and growing, presenting a significant opportunity for innovation and market disruption in this sector.\r\n\r\n\r\nPassenger air traffic volume is increasing, driving demand for efficient and reliable baggage handling at airports and putting immense pressure on existing infrastructure. In 2023 alone, airports processed approximately 4.5 billion bags, highlighting the need for advanced solutions to manage this load effectively. Azalea Robotics provides state-of-the-art robotic systems that enhance efficiency, reduce mishandling, and improve passenger experience through more reliable operations.\r\n\r\n\r\nBaggage handling is a critical component of airline ground operations, yet it is fraught with challenges. The work is physically demanding, often leading to long-term injuries among workers. Traditional baggage handling involves repetitive lifting and maneuvering of heavy loads, which can result in long-term health issues. Azalea Robotics addresses these challenges by automating the most strenuous tasks, thereby reducing the risk of injury and enhancing operational efficiency.", "one_liner": "Automating airport baggage handling with robots.", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723668106, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/azalea-robotics-corporation", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/azalea-robotics-corporation.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/azalea-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a43d3ef392fa3a7d4ef89797c2972ddacbdd1b5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2440553, "full_name": "David Millard", "title": "Founder/CEO", "founder_bio": "David is a roboticist and software engineer with a background in mathematics and computer science. He previously worked as a software engineer at Google X on the Everyday Robots project, Microsoft, and at IronOx (W16).\n\nDavid's doctoral research focused on robotic systems manipulating non-rigid objects and was funded by a NASA Space Technology Research Fellowship. He has published research with the NASA Jet Propulsion Lab, Ames Research Center, and Google DeepMind.", "is_active": true, "linkedin_url": "https://linkedin.com/in/davidrmillard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb42e55de176df3e9bf645c958acb13224f376d8.jpg" }, { "user_id": 1401183, "full_name": "John B. Stroud", "title": "Founder/CFO", "founder_bio": "John B. is a finance and operations professional with experience in airline operations, management consulting, and large-scale operations finance. He has a full-time MBA from Kellogg School of Management at Northwestern University. From his time at United Airlines, John B. understands the inner workings of major international airlines and the inherent challenges of running manual baggage handling systems that he brings to Azalea Robotics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/john-b-stroud", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/906a7519687cd3f06c27af123d06d788e56791bb.jpg" } ], "jobs": [ { "id": 106474, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/azalea-robotics-corporation/jobs/vjwIUhh-senior-robotics-engineer", "location": "Berkeley, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch", "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/", "date": "Sep 25, 2024" } ], "launches": [ { "id": 83069, "title": "Azalea Robotics - Robots moving bags at airports", "tagline": "We build robotic systems to automate airport baggage operations.", "body": "**TL;DR** - [**Azalea Robotics**](https://azalearobotics.com/) is building robots to handle baggage between touchpoints at airports. Our robots work around the clock, never get tired, and never lose or damage your bag after check-in.\n\n\\\n\\\n**The Team** - [David](https://linkedin.com/in/davidrmillard) and [John B.](https://linkedin.com/in/john-b-stroud) met in undergrad at the University of Georgia and have been close friends for 12 years. David has a PhD in Computer Science from USC and is an expert in soft-body robotic manipulation. John B. has an MBA from Kellogg and extensive experience in airline ground operations. They founded Azalea Robotics at the intersection of their combined strengths to modernize bag-handling systems at airports.\n\n![uploaded image](/media/?type=post&id=83069&key=user_uploads/1401183/c6103fdc-dad1-4a28-af14-48852427f62f)\n\n\\\n**The Problem** - Airport baggage handling is broken. It requires an immense amount of back-breaking labor, using decades-old infrastructure at airports, all while passengers increasingly choose to cram everything into a carry-on because they don’t trust airlines to deliver their luggage on time and in one piece. Airlines and airports have an increasingly hard time hiring these workers and are plagued by frequent system outages and customer confusion and complaints during large weather events.\\\n\\\n**The Solution** - Robotic systems work around the clock, never get tired and damage your bag, never misidentify bags, and are significantly cheaper to deploy than manual labor. Our technology allows large robotic arms to handle all bag types and intelligently improve with every bag transferred.\n\n\\\n**Our Customers** - We sell our systems to airports and airlines around the world. Depending on the size of their airport presence (i.e., is this a hub for a given airline?), airlines will either outsource or hire in-house baggage handling for their customers. Airports are typically public entities run by the local city or metropolitan area and can be more or less hands-on with baggage handling, depending on their passenger volume. Worldwide, airports and airlines spend $20B+ to handle 4.5B+ bags (and growing) every year!\\\n\\\n**Our Ask** - Everyone has a nightmare baggage story, and we’d love to hear yours at [mishandled@azalearobotics.com](mailto:mishandled@azalearobotics.com)! Otherwise, if you're interested in learning more or have someone you think we should talk to, let us know at [founders@azalearobotics.com](mailto:founders@azalearobotics.com)!\n\n![uploaded image](/media/?type=post&id=83069&key=user_uploads/1401183/40154504-9ea0-40d9-a079-88ff9551ab24)\n\n", "url": "https://www.ycombinator.com/launches/Lbp-azalea-robotics-robots-moving-bags-at-airports", "votes": 33, "created_at": "2024-08-15T03:08:21.196Z" } ] }, { "id": 29662, "name": "Atum Works", "slug": "atum-works", "former_names": [ "phorg", "ATUM WORKS", "ATUM Works" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.png", "website": "https://atum.works/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Gigascale Nanomanufacturing", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745346268, "tags": [ "Hard Tech", "3D Printing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atum-works", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/atum-works.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/atum-works", "x_url": "https://twitter.com/atumworks", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1884492, "full_name": "Lucas Pabarcius", "title": "Founder/CEO", "founder_bio": ".", "is_active": true, "linkedin_url": "www.linkedin.com/in/lucas-pabarcius-ba3595167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0884df112dcac548a238f88c861cec72db25ca32.jpg" }, { "user_id": 1975891, "full_name": "Matteo Kimura", "title": "Founder/CRO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matteo-kimura-90879318b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e889b9ac0bec382d4d511226cf89459d675ae771.jpg" }, { "user_id": 1884437, "full_name": "Malcolm Tisdale", "title": "Founder/COO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/malcolm-tisdale", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3589b15041b76034e67feec70fa57fba14af2c76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89753, "title": "Atum Works", "tagline": "3D Lithography Foundry", "body": "\n\n**Problem**\n\n“For the past 50 years, semiconductor-technology development has felt like walking inside a tunnel. The road ahead was clear, as there was a well-defined path. And everyone knew what needed to be done: shrink the transistor. Now, we have reached the end of the tunnel.\"\\\nH.-S. Philip Wong, Chief Scientist, TSMC, 2024.\n\nToday’s 2D lithography has hit a fundamental wall in feature density, so the semiconductor industry has begun stacking 2D layers to fit more transistors, bits, and bandwidth on each chip. \\\n\\\nBut stacking scales cost exponentially with density, unlike the constant cost days of Moore: a 10-layer high bandwidth memory (HBM) package is \\~5x more expensive than the same amount of un-stacked DRAM.\n\n**Solution**\n\nUsing a 3D process to make today's increasingly 3D integrated circuits could shortcut this problem, scaling process complexity with materials rather than layers and enabling the next decade of continued progress.\n\nOur 3D lithography technology can do this: it is capable of fabricating multi-material 3D structures with 100 nm resolution at wafer scale.\n\nWhere the ability to create more complex forms enables more complex functions, such granular control of matter enables the future of much more than just chips, including biotech, sensing, and advanced materials.\n\nWe recently crossed the cost thresholds that make this technology commercially viable. We will be driving an exponential scaling law in the production capacity of this technology over the coming decade.\n\n**Team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcMsUlRx_bo7xJvNWmZaC-39OI7Hknw0Y65Er2tjyUh54Sd4--EgCih-wQzZojhTUdUgn2OqKfPxVzmnfqnJGprg2qacYS56K-eYqnSh_n3uz75XB9uyCslMaxReWdNHhKkcVHF?key=cch75ExUod4AOIuWU2xY6A)\n\nWe’re a team of physicists and systems engineers from Caltech and NASA, where we previously matured multiple nascent technologies, winning NASA’s Most Visionary Concept and Best Product Development awards.\\\n\\\n**Advisory Board**\\\nDr. H.-S. Philip Wong: Chief Scientist, TSMC
\\\nDr. Eli Yablonovitch: Director Emeritus of the NSF Center for Energy Efficient Electronics Science (E3S)\\\nDr. Julia Greer: Director, Caltech Kavli Nanoscience Institute
 
\\\nDr. Michael Hochberg: Silicon Photonics Pioneer
\\\nDr. Pooya Tadayon: Intel Fellow
", "url": "https://www.ycombinator.com/launches/NLd-atum-works", "votes": 87, "created_at": "2025-04-22T18:46:21.407Z" } ] }, { "id": 29692, "name": "Weave Robotics", "slug": "weave-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/656bbbf27cb99ea496ba946f90963d0806212dab.png", "website": "https://www.weaverobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Making the world’s first personal robot that's built for the home. 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$210K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 83807, "title": "Weave - Making the first personal robot built for the home", "tagline": "We're making Isaac, the first personal robot built for the home—and it's shipping soon.", "body": "We’re [Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz), the team behind [Weave](https://www.weaverobots.com) and [Isaac](https://youtu.be/ck_r-v-M3ug)!\n\n# **What’s the problem?**\n\nThe average American spends 3.5 years of their life on housework (cleaning, maintenance, laundry) that they don’t want to do.¹ Our customers (and everyone else we’ve spoken to) want to reclaim that time for themselves and their loved ones. Robots that automate this mundane, repetitive work won’t just finally mean that we’re living like the Jetsons; they’ll mean people get months or years of their lives back. \n\nIn order to do much of that work, they have to have a general-purpose design; they have to be capable (i.e., of manipulation across a long tail of tasks), and they have to be safe.\n\n# **We’re building Isaac to help**\n\n[Weave’s](http://www.weaverobots.com/) first robot, Isaac, is the first and only personal robot that meets these requirements for the home and is shipping soon. Isaac will tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping in the fall of 2025.\n\nIsaac acts autonomously when it’s given a voice or text command, or in response to an automation that’s programmed in our app.  When Isaac isn't needed, its camera folds and turns off, its torso lowers, and it stows in the enclosure that's included with every order.\n\nAnd with Remote Op, users can request that Weave remotely operate their Isaac for a task it can't yet do autonomously.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdou6fZiBlaqLmPZYaHiO8XoV04y8uE_d63ixNrHW2DW_ecQE4i85ub48GDjex5uFYtwIFpSLJcAmVkuQgn7wV5ykNOeF1Ap9rFfRM4z7DPPSZX5c5W0bjIdvOBFu4Vsmon7ll0GO4hYZWvhGlJu1k_B3Mf?key=72VQXwH9xmVDPgNNMBwk-g)\n\n_Collecting data with our first prototype_\n\n# **What we’ve already built**\n\nIn two months, we’ve already:\n\n* assembled our first data collection system and prototype\n* trained Isaac's planner and VLA, combined them with a VLM in our ML pipeline\n* had Isaac autonomously complete its first tasks\n* got our first reservations for Isaac\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/725485/9cd72f04-200e-4a90-9e3a-6acaae7ce95c)\n\n# **The team**\n\n[Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz) are best friends and roommates dating back to 2015 and their time at Carnegie Mellon. They're both Apple veterans: Evan most recently was a Lead AI PM who worked on Next-Gen Siri (Apple Intelligence). Before that, he shipped private, large-scale knowledge graphs for on-device personalization and marquee features like Communication Safety (child safety) and Focus modes. Kaan most recently was a manager in ML Robotics research, and before that, he was a staff ML researcher who shipped Double Tap on the Apple Watch and a lead embedded engineer on the iPhone who spent way too many weeks in factories debugging prototype hardware.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdh7Wl_gmEBCVc60A-R0cd5PwBWjrBkCF9HKq0gXTL4SYXspgWWIU7oV7dSGFoV7HF2iL0HYchz2hKKVn2CkjQZHJ5_z_2Ji3D3MqQhCy2jEXVf9Dv5c1Hi6JTLYlxw6WPc2vz-MyEKKuA0jYyX-yVXmlqc?key=Q5Sj2zozjy8LlCfDX-_V6w)\n\n### **Our asks**\n\nIf you know anyone who would be interested in having their own Isaac, have them check out our [website](http://weaverobots.com/), where they can now reserve one directly!  Each Isaac costs $1000 to reserve and nothing more until we deliver in the fall of 2025.  \n\n\\\nWe’re also happy to talk to interested folks in more detail; reach us at [founders@weaverobots.com](mailto:founders@weaverobots.com).\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/89898/27f17550-54e6-45f3-a7e8-7ce70e2c21d5)\n\n¹ ", "url": "https://www.ycombinator.com/launches/Lnj-weave-making-the-first-personal-robot-built-for-the-home", "votes": 56, "created_at": "2024-09-06T02:18:34.657Z" } ] }, { "id": 29698, "name": "AutoPallet Robotics", "slug": "autopallet-robotics", "former_names": [ "Anteatr Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.png", "website": "https://autopallet.bot", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building the next generation of warehouse robotics.\r\n\r\nIn the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevalent.\r\n\r\nOur solution is different. We make swarms of small mobile robots that install into existing warehouses to provide a low-cost and robust automation solution for case picking and mixed-SKU palletization. Our novel technology allows these robots to be installed and operate at significantly lower cost than existing solutions while being both flexible and robust.", "one_liner": "We make robots that move boxes in warehouses", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723496700, "tags": [ "Hard Tech", "Machine Learning", "Warehouse Management Tech", "Swarm Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Eric and Nathan met at Olin College, where they worked on 15 group projects together. " } ], "url": "https://www.ycombinator.com/companies/autopallet-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autopallet-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autopallet-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/AutoPallet/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 242906, "full_name": "Nathan Yee", "title": "Founder/CEO", "founder_bio": "Nathan is the co-founder and COO of AutoPallet Robotics.\n\nAt 18, he graduated as the valedictorian of College of Alameda and then studied Engineering with Computing at Olin College where he met Eric. He has since built ML models for MBARI, consulted for the DIU (xView2) and WashU (drug discovery), and built core software for lab automation robotics at Trilobio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathanielyee/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e1472399a54fec10ff193ce2453753f7c5170c4.jpg" }, { "user_id": 1979497, "full_name": "Eric Miller", "title": "Founder/CTO", "founder_bio": "Eric is the co-founder and CEO of AutoPallet Robotics.\n\nAfter graduating from Olin College in 2019, he led the Subject Tracking and Autonomy Infrastructure teams at Skydio, rapidly growing from individual contributor to lead a team of 6 engineers.\n\nEric is a multidisciplinary robotics engineer with significant experience building modern robotics stacks, from hardware and electronics through perception and high-level software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olin-eric/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fa34c4d02dcef337053aafb9f45b11b7a7c2531.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83238, "title": "🤖 AutoPallet Robotics: The future of case picking in warehouses", "tagline": "AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.", "body": "# TL;DR\n\n* AutoPallet Robotics unlocks automated case picking for existing warehouses. Our novel system delivers rapid ROI by leveraging the current infrastructure to deploy swarms of hundreds of small, agile, mobile robots.\n* Want to get in touch? [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/61c0e05b-c2d2-470a-8248-dcb394bbaeaa)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/0e93dfda-da4f-43f2-8170-dcbef1c80b90)\n\n**Nathan and Eric** met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.\n\n**COO** - [Nathan](https://www.linkedin.com/in/nathanielyee/) brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.\n\n**CEO** - [Eric](https://www.linkedin.com/in/olin-eric/) has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.\n\n# The Problem\n\n**Case picking for order selecting**, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that **over 30 billion cases** are manually moved between pallets annually, resulting in labor costs exceeding **$10 billion** each year.\n\nCurrent automation solutions are prohibitively expensive and fall into two main categories:\n\n1. **Build a new warehouse** with extensive conveyor belt systems, industrial robot arms, and high-density case storage. Costs range from **$100M to $350M per warehouse**.\n2. **Install large mobile robots** that directly replace humans in existing warehouses at a cost of **$300k to $500k per unit**. This high capital expenditure and long ROI period make them infeasible for many businesses.\n\n## Our Solution Is Fundamentally Different\n\nWe've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:\n\n* **Meet or exceed** your current throughput—our robots work in swarms, easily picking tens of thousands of cases per shift.\n* Ensure **resilience** through a decentralized swarm that continues operating even if several robots fail.\n* Optimize **multi-stop deliveries** and create **maximally dense pallets** using an **AI-powered** pallet-building algorithm.\n* Deliver a typical ROI in **less than** **12 months**.\n\n## How You Can Help\n\nWe’re actively seeking **partnerships and collaborations** to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:\n\n* Retailers and 3PLs operating distribution centers\n* Grocery and Broadline Foodservice Distributors\n\nIf this resonates with you or someone you know, please don’t hesitate to reach out! [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)", "url": "https://www.ycombinator.com/launches/LeY-autopallet-robotics-the-future-of-case-picking-in-warehouses", "votes": 27, "created_at": "2024-08-20T18:44:31.152Z" } ] }, { "id": 29753, "name": "Autumn Labs", "slug": "autumn-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df469af020f91ac0b4d19796abb3d31c3518288.png", "website": "https://www.autumnlabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Autumn Labs delivers a developer-friendly platform for monitoring and managing modern manufacturing lines. Seamlessly integrating with robotic stations—automated test stations, robotic assembly cells, and industrial arms—it ensures full traceability, live data monitoring, and secure data transport. We prioritize streamlining factory operations, boosting production quality, and preventing supply chain disruptions, all while offering an effortless onboarding experience for engineers and manufacturers.", "one_liner": "Datadog for industrial robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724817075, "tags": [ "Hardware", "Robotic Process Automation", "SaaS", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autumn-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autumn-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df469af020f91ac0b4d19796abb3d31c3518288.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 991674, "full_name": "Prathik Muppidi", "title": "Founder/CEO", "founder_bio": "University of Waterloo Mechatronics Engineering, ex-Google Engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/prathikmuppidi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae728870bbb8d337d10dc9aecf09f3058982fe3b.jpg" }, { "user_id": 1250574, "full_name": "Harsh Bhatt", "title": "Founder/CTO", "founder_bio": "Ex. Apple | Mechatronics Engineering @ University of Waterloo", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshmbhatt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9cfe0f35ded2657954fedd4b377c34d61c80e6c.jpg" }, { "user_id": 309960, "full_name": "Sam Monga", "title": "Founder/CTO", "founder_bio": "Hardware software engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/sammonga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba15caa4ff5b343488e5acfc1fd1063b92da206c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83709, "title": "Autumn Labs - Monitoring platform for industrial robots and manufacturing", "tagline": "Detect machine downtime, process quality, and factory issues — in real time. ", "body": "**tl;dr:** [Autumn Labs](https://www.autumnlabs.io/) delivers a unified platform to monitor and manage modern factories. Our SDK seamlessly integrates with manufacturing systems (test stations, assembly robots, industrial arms, and manual stations) to provide real-time monitoring, control, and production data management. The result? Lower operation costs, higher product quality, and a smoother production line.\n\n🍁 = 🤖 + 🏭 + 📊\n\n### **Problem - Advanced Machines, Outdated Infrastructure**\n\nThe adoption of robots in manufacturing is exploding, especially to keep up with producing increasingly more complex products and shortages in skilled labor. However, the infrastructure in which these robots would be deployed is still years behind.\n\nWithout effective systems, manufacturing physical products might seem like an insurmountable black box, especially when they are made in factories on another continent where critical information is only reported via spreadsheets every other week.\n\nThe past: [_src_](https://www.youtube.com/watch?app=desktop&v=xqPfY8S5HJ4)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/84c0d0be-c84c-4872-84f8-20aa591d28a6)\n\nToday: [_src_](https://www.youtube.com/watch?app=desktop&v=luFGI13Mv8o)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/2da6a941-47af-48e3-aaf4-4ddee5351437)\n\nBut the manufacturing data is always lagging and still looks like this:\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/5472966f-362b-483b-9117-37b4730a3676)\n\n### **Solution - Seamless Integration, Real-time insights**\n\nAutumn Labs provides an SDK that’s easy to integrate into any robotic architecture, enabling seamless monitoring and management of machines and, ultimately, the factory in which they reside. This way, robotic integrators and developers have a standard platform where they pull and push critical data that’s specific to their machine’s tasks. Both factory operations and engineering teams are able to get actionable data they need to improve production utilizations and process quality.\n\n_A Unified Platform for Hybrid Factories:_\n\nOur platform is built for hybrid factory lines, too, allowing for seamless integration of manual human assembly stations. Factory personnel can now get a holistic view of your factory's performance—robotic or not.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/8d55d085-5141-4c8e-a11f-d4751a050099)\n\nWith Autumn Labs, you can track, triage, and push fixes for:\n\n1. Robotic assembly stations/cells\n2. Automated test stations\n3. Palletizing robots\n4. Manual assembly stations\n\n### **Traction - Real Results, Real Impact:**\n\nAutumn Labs is already monitoring and managing 50+ automated factory stations in 4 different consumer electronics factory lines across multiple companies and contract manufacturers. There’s a good chance that a product you use today has gone through our platform.\n\nWhy our customers love us:\n\n1. Clear insights into Manufacturing Value Added (MVA) costs\n2. Increased machine utilization\n3. Rapid improvements in production quality\n4. Enhanced product development cycles\n\n### **Meet the Founders**\n\nWe’re [Sam](https://www.linkedin.com/in/sammonga/), [Harsh](https://www.linkedin.com/in/harshmbhatt/), and [Pra](https://www.linkedin.com/in/prathikmuppidi/)[thik](https://www.linkedin.com/in/harshmbhatt/) — Mechatronics engineers from the University of Waterloo with decades of combined experience at Apple (iPhone), Google (Nest), and Meta (Oculus). After countless sleepless nights fixing robotic assembly lines and test stations, we decided it was time to create the ultimate tool for manufacturing. We’re building the solution we wish we had back then.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/4ecd6fa2-6352-46ae-a602-f69219f0fe93)\n\n### **Our Ask - Let's Transform Manufacturing Together**\n\nKnow someone struggling to get real-time data from robots, test stations, or factories? Let’s talk. Reach us at [founders@autumnlabs.io](mailto:founders@autumnlabs.io)", "url": "https://www.ycombinator.com/launches/Lm9-autumn-labs-monitoring-platform-for-industrial-robots-and-manufacturing", "votes": 35, "created_at": "2024-09-03T16:30:31.314Z" } ] }, { "id": 29763, "name": "Piggy Robotics", "slug": "piggy-robotics", "former_names": [ "RigManic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.png", "website": "https://piggyrobotics.com", "all_locations": "London, England, United Kingdom", "long_description": "We build humanoid robots that do your chores at iPhone prices. Just like the millions of cars generating data for self-driving, we need millions of humanoids generating real-world data for general-purpose robotics. Humanoid companies today can only manufacture hundreds a year because motors are expensive and slow to assemble. We use artificial muscles. Each muscle is just a tube wrapped in braided fibre, and the whole robot is powered by a single pump — which means we can mass-produce humanoids by the millions. Our design is built for that scale from day one and is cheap enough to enter billions of homes.", "one_liner": "Humanoid robots that do your chores for the price of an iPhone!", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1756389316, "tags": [ "Smart Home Assistants", "Robotics", "AI", "Home Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/piggy-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/piggy-robotics.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/piggy-robotics/", "x_url": "https://x.com/PiggyRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1476712, "full_name": "Richard Gong", "title": "Founder/CEO", "founder_bio": "Dropped out of medicine at Oxford to build humanoid robots for the home.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richard-g-15852b22b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81c7dc84e57f6a45dd2d098072df6cdf5c873de1.jpg" }, { "user_id": 3244838, "full_name": "Chenny (Qianyi) Deng", "title": "Founder", "founder_bio": "Founder @ Piggy Robotics (YC F25) ｜ PhD Candidate in Computer Science @ the University of Oxford ｜ Ex-Tencent AI researcher ｜ Founded the largest laser-tag arena in my city at age 13", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qianyi-deng/", "x_url": "https://x.com/Chenny_Deng33", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7b598f4ae3dd0f4dd4988e9c3e4e0bdb0fc577f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95684, "title": "Piggy Robotics - Humanoid robots", "tagline": "We built a mass-producible humanoid robot for less than $1000 in 2 months.", "body": "Hello! We’re [Richard ](https://www.linkedin.com/in/richard-g-15852b22b)and [Chenny](https://www.linkedin.com/in/qianyi-deng/), founders of Piggy Robotics. We build mass-producible humanoid robots that do your chores at iPhone prices.\n\nBelow is why our architecture is uniquely positioned to win the humanoid race:\n\n1\\. We built a **full-size**, **mass-producible** humanoid robot in **2 months**, complete with custom muscles, valves, and pumps for **less than $1000**. For comparison, other humanoid companies with hundreds of millions in cash spent years developing their actuators before touching a full prototype. We’re the most capital-efficient humanoid company, and we’re on track to catch up with incumbents that have far more capital within one year.\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\n2\\. **Mass production** must happen before **autonomy**. Tesla collects hundreds of thousands of hours of driving data per day from cars with basically 2 DoF. A humanoid has >50 DoF. To collect the same amount of data, you need >100K humanoid robots deployed. Existing humanoid companies can only produce a few hundred units per year. Our artificial muscles are far cheaper and simpler, meaning we can manufacture millions of humanoids and reach autonomy far sooner.\n\n️3. Only our humanoid at **iPhone prices** can **enter every home**. A household robot cannot be a 70kg, $20k metal beast. At that price point, adoption follows car-level economics. New cars mostly cost over $20k, and the entire world buys only around 75 million per year. But at $2k, adoption shifts into phone-level territory, where the world buys over a billion smartphones every year. Only an architecture built around cheap, simple-to-produce artificial muscles can reach phone-scale manufacturing quickly and make that future possible.\n\n**Team**\n\n[Richard ](https://www.linkedin.com/in/richard-g-15852b22b)studied **Medicine** at **Oxford University**, built AI systems for personalized cancer vaccines, and has a deep understanding of human anatomy and biomechanicsx—knowledge that is directly relevant to designing artificial muscles and full-body actuation.\n\n[Chenny ](https://www.linkedin.com/in/qianyi-deng/)trained AI models to read human motion—the foundational step for teleoperation and future autonomy—while doing her **PhD in Computer Science** at **Oxford University**. She previously worked on AI at Tencent. Fun fact: at age 13, Chenny built the largest laser-tag centre in her city.\n\nTogether, we spent a year inside factories deploying humanoid robots in real production environments.\n\nEven though Piggy Robotics is only a few months old, we’ve already assembled a **16-engineer elite hardware & software team** from **Oxford University** and **top global robotics competitions**. This combination of deep biomechanics, AI motion understanding, and hands-on factory deployment uniquely positions us to build the **first truly mass-producible humanoid robot**.\n\n![uploaded image](/media/?type=post&id=95684&key=user_uploads/89898/901840c8-864a-4d85-b82b-7ecf78a9b6b0)\n\n**Our Ask**\n\nIf our mission resonates and you want to ship humanoids with us, we’d love to connect: [founders@piggyrobotics.com](mailto:founders@piggyrobotics.com)", "url": "https://www.ycombinator.com/launches/OtI-piggy-robotics-humanoid-robots", "votes": 753, "created_at": "2025-11-21T17:31:10.408Z" }, { "id": 94076, "title": "Piggy Robotics: Humanoid robots that do your chores at iPhone prices.", "tagline": "Tesla promise robots for the price of a car. We will sell ours for the price of an iPhone. ", "body": "In **two months**, we built a **full humanoid** prototype with 22-degree-of-freedom **dexterous hands**, powered by our own custom **artificial muscles** for **less than $1000**!\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\nCompared to electric-motor driven humanoids, ours are **softer**, **safer**, and delivers **higher strength-to-weight**. It will be **20x cheaper** enabling real-world AI training at scale.\n\n[Richard](https://www.linkedin.com/in/richard-g-15852b22b) trained AI to optimize cancer vaccines while studying **Medicine at Oxford University**. As a teen he scored **top 3 nationally** in the UK Intermediate Maths Olympiad.\n\n[Chenny](https://www.linkedin.com/in/qianyi-deng/) trained AI to read human motion while doing her **PhD in Computer Science at Oxford University**. At the **age of 13** she built the largest laser tag centre in her city!\n\n![uploaded image](/media/?type=post&id=94076&key=user_uploads/89898/2182c0f0-e665-410d-b83e-574bba525662)\n\n### Chat with us at: [founders@rigmanic.com](mailto:founders@rigmanic.com)", "url": "https://www.ycombinator.com/launches/OTM-piggy-robotics-humanoid-robots-that-do-your-chores-at-iphone-prices", "votes": 291, "created_at": "2025-09-23T22:11:41.061Z" } ] }, { "id": 29768, "name": "Ember Robotics", "slug": "ember-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "website": "https://www.emberrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ember builds hardware and system observability tools for robots and IoT devices. Founded by former Tesla Autopilot engineers, we help hardware teams catch failures early, reduce downtime, and iterate with confidence from prototype to scale.", "one_liner": "Datadog for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1722583865, "tags": [ "Developer Tools", "Robotics", "B2B", "Analytics", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ember-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ember-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ember-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c2229c2c42289396d01eae7f571cb9a5c3d6351.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1932951, "full_name": "Shivani Mouleeswaran", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Ember Robotics. Previously at Tesla Autopilot / Simbe Robotics. I love robots, basketball, and playing the sitar!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivanicm", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca21e267ed252271b8234a225ca024e791db442e.jpg" }, { "user_id": 1946129, "full_name": "Ritika Shrivastava", "title": "Founder/CTO", "founder_bio": "Ritika is a roboticist who loves helping robots see 🕶! She is a proud UC Berkeley alumna (B.S. EECS '21 & M.S. EECS '22) 🐻, where she researched and taught about computer vision and robotics. Formerly a computer vision engineer at Tesla Autopilot, Ritika is excited to build tools that help roboticists!\n\nIn her free time, she enjoys playing tennis 🎾, building gizmos, and reading 📖!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ritikashrivastava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f2b8c1226f588a683c681ac6ac1c7ceb5d341c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87515, "title": "Ember Robotics: Datadog for Robots", "tagline": "From prototype to scale, we keep robots running", "body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/8cd43030-d313-4ade-af0d-f7fe7197ac0d)\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/b82857af-566f-465a-8212-74965d060e03)\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀", "url": "https://www.ycombinator.com/launches/MlX-ember-robotics-datadog-for-robots", "votes": 25, "created_at": "2025-02-07T22:07:48.510Z" }, { "id": 82673, "title": "Ember Robotics: Camera diagnostics for robots", "tagline": "Reducing vision failures from the source", "body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/335dd4a4-e0b6-4c6b-bb64-a4c9c0c60f7f)\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/9c181ef2-e04a-498d-a839-35bfa75fd1dc)\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/cc554985-1fa2-4bd8-9d16-96609bb82645)\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!", "url": "https://www.ycombinator.com/launches/LVR-ember-robotics-camera-diagnostics-for-robots", "votes": 101, "created_at": "2024-08-02T13:50:39.909Z" } ] }, { "id": 29784, "name": "Sensei", "slug": "sensei", "former_names": [ "OBO" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3e1067b2d9b0492706fd6cec1ccf4d50ee5c59.png", "website": "https://senseirobotics.com", "all_locations": "Boston, MA, USA", "long_description": "Sensei helps robotics companies scale and outsource their training data collection. Our hardware platform enables the collection of human-demonstration data at a tenth of the cost and twice the speed of current teleop approaches. Our software platform acts like Scale AI for robotics data: a large network of paid human operators use our low-cost collection platform to fulfill data-generation requests. ", "one_liner": "Robotic Training Data at Scale", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724658554, "tags": [ "Hard Tech", "Marketplace", "Robotics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sensei", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sensei.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3e1067b2d9b0492706fd6cec1ccf4d50ee5c59.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 842573, "full_name": "Anubhav Guha", "title": "Founder/CEO", "founder_bio": "CEO at Sensei - building the marketplace for robotic training data. Previously MIT Robotics PhD (dropped out) and Chief Engineer & Program Manager of Aurora Flight Science/Boeing's DARPA AlphaDogfight team. I've spent my whole career in robotics, and my goal is to help make AI robotics a reality.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anubhav-guha-886445129/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9580bcefaa36422ee6b7c4f52ebab522fc7e6491.jpg" }, { "user_id": 2033335, "full_name": "John Piotti", "title": "Founder/CTO", "founder_bio": "CTO at Sensei - scaling robotic training data collection to be 2x faster and 10x cheaper. Previously MIT '19, Robotics Engineer at Aurora Flight Science/Boeing, and full stack web development at UtilityAPI. Also building a house in my free time. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-piotti-51a67412a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16f9d0a34775f335bac9e0e7ac869194c2b0cd63.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83555, "title": "🦾 Sensei: Robotics training data, at scale.", "tagline": "We produce high quantities of high-quality training data for robotics companies.", "body": "**tl;dr:** [Sensei](https://senseirobotics.com/) is the Scale AI for robotics training data. Our platform collects human demonstration data at a tenth of the cost and twice the speed of current approaches.\n\n# **Our Team**\n\nWe are MIT engineers who have been friends since undergrad. We worked together at Aurora Flight Sciences, where we ran a DARPA-funded program to develop AI algorithms for autonomous fighter jet combat. [John](https://www.linkedin.com/in/john-piotti-51a67412a/) went on to spearhead the reinforcement learning efforts at Aurora, while [Anubhav](https://www.linkedin.com/in/anubhav-guha-886445129/) returned to MIT for a PhD focused on robotics, control theory, and machine learning (but dropped out to found Sensei!).\n\nWe have spent our careers working at the frontiers of robotics and AI. With Sensei, we plan to empower the expansion of those frontiers. \n\n![uploaded image](/media/?type=post&id=83555&key=user_uploads/842573/7653e304-26fe-4239-b434-58c524f60b31)\n\n# **The Problem**\n\n**Data scarcity is one of the biggest challenges in developing robotic artificial intelligence.** \n\nInnovators in the space are looking to apply the learnings from the Foundation Model Era: that large models trained on huge datasets are incredibly powerful. As researchers, engineers, and a rapidly growing number of commercial efforts race to develop large models for robotic intelligence, it’s become increasingly clear that the availability of sufficient quantities of quality data is the most significant bottleneck. \n\nCurrent solutions are slow, expensive, and fundamentally not scalable. Human demonstrations are the gold standard for training data. Robotics companies currently employ fleets of 5-20 data-collectors. These in-person contractors teleoperate a robot to perform hundreds of demonstrations a day - with tasks ranging from clothes folding, to bin sorting, to dishwasher loading. **This is not the right long-term solution:** \n\n* Large-scale collection is prohibitively expensive: a teleop setup requires a physical robot, often with a cost of $40,000+ per operational platform.\n* Low-quality data: restriction to labs/office spaces makes it hard to collect varied and realistic demonstrations\n* Slow data collection rates: non-intuitive interfaces, cumbersome equipment, and faulty hardware lead to slow demonstrations on platforms that break often.\n\n \n\nThese drawbacks make it impossible to scale quality training data collection to the quantities needed for robotics.\n\n# **Our Solution**\n\nWe design and manufacture low-cost and easy-to-use devices for collecting human demonstration data. Our platform costs less than $300 and can be used by anyone to collect high-quality training data. As seen in a clothes folding task that demonstrates our research prototype, the operator is equipped with a sensorized exoskeleton arm that closely matches the natural human range of motion. The intuitive design, coupled with a suite of angle, vision, and inertial sensors, enables the rapid collection of highly accurate visuo-spatial state information. \n\n![uploaded image](/media/?type=post&id=83555&key=user_uploads/842573/a58f4a6e-504c-4dd7-a1e1-8afd1d02cb30)\n\nOur main advantage is that an operator can easily set up and equip the platform, leading to an unprecedented ability to generate quality data at scale. Demonstrations can be performed for a broad range of common tasks, in a nearly infinite number of diverse settings, in as many different ways as human behavior is varied. \n\nIn order to maximally utilize a fleet of our data-collect platforms, we are building out and operating a network of Senseis— contractors that have been trained to collect high-quality training data using our devices. Our Senseis receive task descriptions from robotics researchers and engineers, and are then paid to collect demonstrations that fulfill the request. \n\n**Our combined hardware + software stack represents the first truly scalable solution to generating training data for AI robotics.**\n\n# **Our Goal**\n\nWithin the next five years, we envision tens of thousands of operators, equipped with increasingly sophisticated, portable, and effective data-collection arms, exoskeletons, headwear, and tools. These Senseis will be located all over the world, come from and live in a variety of environments, and all have different takes on what it means to perform tasks “like a human.” This is the best way to power data collection for improved robots, and it is the future we’re building.\n\n# **Ask**\n\nIf you’re interested in solving the data scarcity problem in robotics - either for yourself, your company, or your customers - we’d love to hear from you. You can reach us at [founders@senseirobotics.com](mailto:founders@senseirobotics.com)", "url": "https://www.ycombinator.com/launches/Ljf-sensei-robotics-training-data-at-scale", "votes": 112, "created_at": "2024-08-28T20:27:10.260Z" } ] }, { "id": 29814, "name": "Vendra", "slug": "vendra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/929ad75b7088b9721f87d1e0e30daae50d49198f.png", "website": "https://vendra.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Vendra makes it faster and easier to get custom parts manufactured in America. \r\n\r\nSubmit one RFQ and Vendra turns your technical requirements into custom manufactured parts - routing work through qualified US suppliers, gathering competitive quotes, and managing production through delivery.\r\n\r\nWe're ITAR registered and manufacture parts for American aerospace and defense leaders. Customers include Anduril, Mach Industries, Relativity Space, Castelion, and Planet Labs.\r\n\r\nSubmit an RFQ at www.vendra.io to get started today!", "one_liner": "Custom Parts, Manufactured in America 🇺🇸", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724084407, "tags": [ "Hardware", "Manufacturing", "Supply Chain", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vendra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/vendra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vendra-hq/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vendra", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/929ad75b7088b9721f87d1e0e30daae50d49198f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4494b730c0e5479cf91e29459b50918793f50ddd.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 914508, "full_name": "Shan Mohta", "title": "Founder/CEO", "founder_bio": "CEO of Vendra. I'll help you get parts manufactured in America. I also built cool hardware at Skydio, Apple, & Microsoft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shanmohta/", "x_url": "https://x.com/shanmohta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ada4961bf89e49443bf458e132e7d04191be2aa5.jpg" }, { "user_id": 2050663, "full_name": "Anish Bhardwaj", "title": "Founder/CTO", "founder_bio": "CTO of Vendra. I build software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anish-b-00109695/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/939f8fa06c02f01535001b4aa0cb45b2d26837b3.jpg" } ], "jobs": [ { "id": 96225, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/vendra/jobs/wdHYZmT-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $120K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110597, "title": "Supply Chain Manager", "url": "https://www.ycombinator.com/companies/vendra/jobs/TNILqFi-supply-chain-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111490, "title": "Cloud Infrastructure & Security Engineer", "url": "https://www.ycombinator.com/companies/vendra/jobs/3z2bFVm-cloud-infrastructure-security-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111491, "title": "Full Stack Engineer ", "url": "https://www.ycombinator.com/companies/vendra/jobs/pi7IbS4-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $140K", "equity_range": "0.05% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88957, "title": "Vendra - Custom Parts, Manufactured in America 🇺🇸", "tagline": "Vendra brings you fast quotes, rapid production, and direct access to US manufacturers ready to build your parts.", "body": "Hi YC, we’re [Anish](https://www.linkedin.com/in/anish-bhardwaj-00109695/) and [Shan](https://www.linkedin.com/in/shanmohta/) from Vendra!\n\n### **TL;DR**\n\n**Vendra is the best way to manufacture custom parts in the US, beating legacy platforms like Xometry and Protolabs at their own game.**\n\n[**Submit an RFQ today**](https://vendra-marketplace.io/) **to get fast quotes, short lead times, and experience the difference yourself. 🚀**\n\n\n\n# **THE PROBLEM**\n\nManufacturing is coming back to America, but getting your parts made is still a frustrating process. Existing platforms (like Xometry and Protolabs) hide suppliers from you, mark up your parts, and give you minimal control and flexibility.\n\nAlternately, you do a bunch of manual outreach to find suppliers, check if they have production capacity, see if they have the right equipment, can provide a quote quickly, can meet your tolerances and finish, follow-up a bunch of times, etc… Whichever option you use today - it sucks.\n\n# **THE SOLUTION**\n\nJust submit ONE RFQ on Vendra - **_that’s literally it._**\n\nWe match your parts to US manufacturers who meet your exact specs and automate all the manual sourcing steps. You receive multiple competitive quotes and lead times, collaborate directly with suppliers on design and manufacturing details, and choose exactly who builds your parts.\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/a65ec6d6-69cd-4490-a8f9-8089c0a00ef4)\n\nWe’re the **_only platform_** optimized for real-time production capacity. Need parts machined on a 5-axis CNC or printed on a large-format SLS printer? We’ll connect you exclusively with suppliers who have that exact equipment available immediately - **_so you get fast quotes and even faster production._**\n\nWe’re already trusted by Apple, Skydio, and leading aerospace and hard-tech startups. **_Our automation and capacity optimization have saved them up to 40% on part cost and cut lead times in half_** compared to legacy platforms.\n\n# **THE ASK**\n\n* Need parts made? [Submit an RFQ!](https://vendra-marketplace.io/)\n* Know someone who needs parts made? Send them this post or tell them to [submit an RFQ!](https://vendra-marketplace.io/)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ) Oh, and [SUBMIT AN RFQ!](https://vendra-marketplace.io/)\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/6c2e372e-651b-40e6-930d-96193dfb5e26)\n\n", "url": "https://www.ycombinator.com/launches/N8n-vendra-custom-parts-manufactured-in-america", "votes": 284, "created_at": "2025-03-25T16:40:06.168Z" }, { "id": 83256, "title": "Vendra - AI vendor and project management for hardware teams", "tagline": "We use AI to help hardware teams manage projects, files, and more with their vendors and suppliers - all with no change to their existing workflows", "body": "### TL;DR\n\n* Hardware engineers **_should_** spend their time building cool products, but they **_actually_** spend their time dealing with vendors and doing non-engineering work (digging through emails, searching for files, updating spreadsheets, etc.)\n* Traditional project management solutions don’t really work in hardware, and vendor communications inevitably revert to emails/text messages/WeChat/etc.\n* Vendra uses AI to understand these vendor communications, giving hardware teams modern project management and instant information lookup with almost no change to their existing workflow\n* We offer solutions to hardware teams at all stages - [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n\n### The Team\n\nWe’re [Shan](https://www.linkedin.com/in/shanmohta/) and [Anish](https://www.linkedin.com/in/anish-b-00109695/)! We’ve known each other since childhood when our parents moved from India to the same apartment complex in Santa Clara. Between us, we’ve built a lot of cool hardware (cameras for autonomous drones, AR/MR headsets) and cool software (ML for satellites, AI for the shipping industry).\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/f65f0c3b-ceef-4c41-b76f-0ded74c39615)\n\n### The Problem\n\nAs a former hardware engineer, Shan experienced the challenges of managing complex projects across a network of vendors, suppliers, and manufacturers. He saw hardware teams struggle to use traditional project management solutions with vendors because of the unstructured nature of projects and communications, security and access issues, and difficulties in the adoption of new processes. The workflow inevitably defaulted to emails, text messages, WeChat, etc., often leading to misplacement of crucial information.\n\nA 2021 report revealed that 70% of engineers still use email for external collaboration, struggling to track critical information across teams. 94% of engineers want faster access to data, and 29% often work with outdated information, leading to costly delays, reworks, and longer time to market.\n\nWe’re building Vendra to change that.\n\n### The Solution\n\n**Vendra uses AI to bring a smart project management suite and file repository to hardware teams working with vendors and suppliers - all with no change to existing workflows.**\n\nSimply connect Vendra to your email/WeChat/WhatsApp/Slack (or cc it to your conversations and threads):\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/0497419e-34ee-4f22-8f08-e15331533c4c)\n\nVendra automatically contextualizes your emails/messages/files and generates key takeaways like project and conversation summaries, open items, blockers, tasks, etc. It also creates a smart file directory so you never have to go digging through emails or attachments ever again.\n\nEasily access all this information from anywhere through our SlackBot, GPT-like chat interface, or web-based dashboard:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/ad310c5b-4582-4e07-9e43-1bbaf6691b37)\n\nYou can ask Vendra AI things like\n\n* ‘Show me all the quotes and lead times we got from vendors for the upper bracket machining in the past month’\n* ‘What are all the open items for the enclosure injection molding tooling?’\n* ‘Pull up the RF module datasheet the supplier sent me last week’\n* And so much more!\n\nFor teams looking for 2-way external collaboration, we also offer VendraPM - a secure end-to-end platform to onboard your vendors and work together across projects and tasks. Features like secure file sharing, document revision control, and AI-enabled language translation make external work easier than ever:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/850d8b2a-133f-492b-a346-3f441932ab20)\n\n### The Ask\n\n* If you work in hardware, [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n* We also love warm intros to folks in hardware - if you know anyone working in (or around) hardware, we’d love to chat with them to understand their workflow and see how we can help!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ)", "url": "https://www.ycombinator.com/launches/Leq-vendra-ai-vendor-and-project-management-for-hardware-teams", "votes": 1024, "created_at": "2024-08-23T15:30:21.401Z" } ] }, { "id": 29847, "name": "Bucket Robotics", "slug": "bucket-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png", "website": "https://bucket.bot", "all_locations": "San Francisco, CA, USA", "long_description": "Bucket Robotics builds deployable computer vision systems for manufacturing — without labeling, long pilots, or fragile rules.\r\nWe turn CAD and sample data into production-ready vision models that run on existing cameras and edge hardware. No manual labeling. No cold-start problem. Models deploy in minutes and adapt as parts, defects, and lines change.\r\n\r\nOur roots are in self-driving cars (Argo AI, Uber ATG, Stack AV), where we learned how to ship perception systems that operators trust in messy, real-world environments. We’re applying that playbook to factories: robust sensing, fast iteration, and tooling engineers actually enjoy using.\r\n\r\nManufacturers struggle with inspection because parts are too variable for rules-based vision and too expensive to inspect by hand. Legacy systems are rigid, hardware-locked, and slow to customize. We take the opposite approach: software-first vision that fits into existing automation and scales across SKUs, facilities, and workflows.\r\n\r\nAmerican Manufacturing is in the middle of a $700B automation push — but quality is still a trust problem. Bucket Robotics is building the vision infrastructure that lets factories automate inspection with confidence.", "one_liner": "Defect detection for manufacturing built from CAD and synthetic data.", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1719001491, "tags": [ "Robotic Process Automation", "Robotics", "Computer Vision", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we succeed, quality inspection stops being a human bottleneck. Manufacturing quality becomes software—deployed from CAD, scaled instantly across factories, and verified automatically. The world builds complex physical products faster, with less waste, and with machine-verifiable trust." } ], "url": "https://www.ycombinator.com/companies/bucket-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bucket-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bucketrobotics/", "x_url": "https://x.com/BucketRobotics", "fb_url": "https://www.facebook.com/profile.php?id=61578008815737", "cb_url": null, "github_url": "https://github.com/bucket-robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/72627bb1c990f52131cd9089f7589fc3dc47457f.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1918803, "full_name": "Matt Puchalski", "title": "Founder/CEO", "founder_bio": "Matt is the co-founder and CEO of Bucket Robotics, building CAD-driven computer vision for manufacturing inspection and assembly verification. Previously, he worked on autonomous vehicle integration and deployment at Argo AI, Latitude AI, and Stack AV, helping bring self-driving vehicles onto public roads in the United States and Germany.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matt-puchalski", "x_url": "https://x.com/lasermatts", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96e15f894eb00281539dee8a84cf516b581aac67.jpg" } ], "jobs": [ { "id": 73634, "title": "ML Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/wamcLUR-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $165K", "equity_range": "0.70% - 2.80%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "ML", "Python", "Machine Learning", "CUDA" ] }, { "id": 95125, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/6pT0gS3-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "1.00% - 3.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Data Modeling" ] }, { "id": 95797, "title": "Forward Deploy Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/va6hXZz-forward-deploy-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $120K", "equity_range": "0.25% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [ { "title": "Synthetic Data Comes of Age: How Bucket Robotics is Changing the Economics of Machine Vision - MVPro Media", "url": "https://mvpromedia.com/synthetic-data-comes-of-age-how-bucket-robotics-is-changing-the-economics-of-machine-vision/", "date": "Jul 21, 2026" }, { "title": "How YC-backed Bucket Robotics survived its first CES | TechCrunch", "url": "https://techcrunch.com/2026/01/18/how-yc-backed-bucket-robotics-survived-its-first-ces/", "date": "Jan 18, 2026" } ], "launches": [ { "id": 82809, "title": "Bucket Robotics 🤖 Vision for Manufacturing", "tagline": "Go from CAD model to defect detection system in the blink of an eye.", "body": "# ☕ **_TL;DR_**\n\n[_Bucket Robotics_](https://bucket.bot) makes defect detection models way faster and easier to deploy. CAD goes in — detection model comes out.\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/d49ec265-a7cd-4a9c-ad32-62b45df8c825)\n\n# **👥** **The Team**\n\n### Hi everyone, we’re [Matt](https://www.linkedin.com/in/matt-puchalski/) and [Steph](https://www.linkedin.com/in/stephan-wolski/), and we’re Bucket Robotics!\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/a2825a9a-9dd1-4c95-8aa4-46ba2826efae)\n\n# **📉 The Problem**\n\nDefects are a universal challenge in manufacturing, particularly with methods like injection molding, die casting, and 3D printing. Factories using these methods frequently retool their lines for different products making it difficult and costly to gather enough data to train defect detection models.\n\nManufacturers strive to ensure that only the highest quality products reach their customers. Avoiding the shipment of defective products not only protects their reputation but also safeguards expensive machinery from damage, maximizes yield by leveraging advanced analytics, and prevents the progression of faulty parts through the production line, which can lead to compounded waste and increased costs.\n\nA 2017 study estimates that [yield losses account for 44% of sheet metal used](https://www.sciencedirect.com/science/article/abs/pii/S092401361730211X) in the production of passenger vehicles — and we want to bring that number down, saving money and the environment.\n\nTraditionally, defect detection comes in two flavors:\n\n1. Pay a person to watch your line.\n2. Train a vision model the old-fashioned way — wait for defective parts to come out and add your sample to the dataset.\n\nPaying people to check parts is inefficient and a miserable job. Collecting enough labeled data samples to train a model is impractical for rapidly retooled outputs, and the labeling is expensive. This often leaves manufacturers with a critical gap in quality assurance, leading to increased scrap, downtime, and potentially unhappy customers with defective parts.\n\n## **📈 The Solution**\n\nWe help eliminate the need for inefficient human monitoring and outdated defect detection by providing a system where we generate defect detection models using CAD files—something every part designed for modern manufacturing has. Our models can run on an edge computing device as small as a Jetson Orin Nano and be continually refined with real-world data.\n\n### **_Here’s why this is a game-changer:_**\n\n* **Early Deployment:** Your defect detector can arrive at your manufacturing line before you’ve manufactured any parts. This means you can catch defects right from the get-go.\n* **Continuous Improvement:** As defects start to appear, we can automatically refine and improve the model, ensuring your system remains top-notch.\n* **Classification**: The system tells you how the part is defective, allowing you to dial in your tooling configuration and maintenance cycle—e.g. when it's time to create a new mold.\n\nCheck out a video on our process here: [Bucket Robotics | Defect Detection](https://youtu.be/U_bJxaH_U9U)\n\n# **🙏How You Can Help**\n\nWe are seeking connections and collaborations to drive our mission forward. If you or anyone in your network is interested in learning more or helping out, we want to hear from you! We’re specifically looking to connect with:\n\n* Quality Assurance and Factory Automation leaders\n* Companies and brands in high-volume and precision manufacturing\n* Experts in the manufacturing and defect detection industries\n\nIf that’s you or someone you know, [please get in touch!](https://bucket.bot)", "url": "https://www.ycombinator.com/launches/LXd-bucket-robotics-vision-for-manufacturing", "votes": 77, "created_at": "2024-08-07T05:00:27.470Z" } ] }, { "id": 30110, "name": "Forerunner", "slug": "forerunner", "former_names": [ "Forerunner AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "website": "https://tryforerunner.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Forerunner is an AI-native factory building precision bent-tubes for aerospace, defense, energy, and industrials.", "one_liner": "Quick-turn bent tube shop for aerospace, energy, industrials", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1730181783, "tags": [ "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forerunner", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/forerunner.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryforerunner/", "x_url": "https://x.com/TryForerunner", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 695093, "full_name": "Yash Kadadi", "title": "Founder/CEO", "founder_bio": "Prev. Software/Autonomy/ML at Anduril, SpaceX, and NASA |\nStanford BS CS '25, MS CS '26 (on leave)", "is_active": true, "linkedin_url": "https://linkedin.com/in/yashkadadi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61dd1e8893ca6d6f65f7d8d79f9c757baccc170c.jpg" }, { "user_id": 972066, "full_name": "Will Nida", "title": "Founder/CTO", "founder_bio": "Stanford BS '25 (Physics + CS). Prev. Starship Propulsion Engineering @ SpaceX, Plasma Propulsion Research @ Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/william-nida", "x_url": "https://x.com/willnida0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/088a3d13c32b1a604dc4303a36ba4d9d61b03e9c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85132, "title": "Forerunner - Copilot for aerospace engineers", "tagline": "Forerunner collaborates with engineers to accelerate development of defense tech, satellites, and rockets.", "body": "### **BLUF**\n\n[Forerunner](https://tryforerunner.com) automates repetitive hardware engineering tasks, helping hardware teams speed up design iterations and stay aligned. Our AI-powered Slackbot integrates with software like Confluence and GitHub, enabling engineers to efficiently access the latest data (“What’s the current thrust on our Methalox engine?”), run calculations (“Solve for mass flow rate on the cold gas thruster”), and update files (“Update SRB design thrust with new test data”).\n\nWith Forerunner, engineers can focus on what matters: designing and building hardware systems.\n\n\n\n### **The Ask – Refer Us**\n\nWe’d like to chat with any engineering leads at aerospace, defense, and hardware companies! \n\nEmail [yash@tryforerunner.com](mailto:yash@tryforerunner.com) if you or your friends are building cool hardware! \n\n### **Who we are**\n\nWe’re [Yash](http://linkedin.com/in/yashkadadi) and [Will](http://linkedin.com/in/william-nida)! We’re lifelong aerospace nerds. We’ve launched liquid biprop rockets and built CubeSats at Stanford, and we have deployed hardware and software at SpaceX (Starship and Starlink), Anduril (Altius), and NASA (ISS operations).\n\n### **Why this matters**\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/61c93aea-f5e3-4ed2-a5eb-c0b0788ada17)\n\n_An FPV drone carrying a warhead disables Russian armor. Credit: United24_\n\n[The world is on fire](https://www.cnn.com/2024/10/24/europe/ukraine-north-korean-troops-spotted-kursk-intl-latam/index.html), and we desperately need to fly the next generation of autonomous weapons, satellites, launch vehicles, hypersonics, and eVTOL aircraft. \n\nHowever, inefficient engineering software is slowing us down. We personally experienced the frustration of digging through hundreds of slides of primary structures analysis, setting up Excel hand-calcs with equations from Roark’s, and missing flight deadlines.\n\nTo accelerate the development of critical aerospace and defense hardware, we need to automate slow, tedious workflows for engineers. \n\n### **How we solve this**\n\nForerunner automates repetitive tasks in aerospace engineering. Today, Forerunner can:\n\n* Update turbopump design specs in Document A by querying and synthesizing test results from Documents B and C.\n* Size the mass budget for a comms satellite using techniques in The New SMAD. Generate compliant test plans based on [Air Force Space Command procedures](https://explorers.larc.nasa.gov/2019APSMEX/MO/pdf_files/SMC-S-016_05SEP2014.pdf).\n* Analyze assembly instructions for an arming fuse and generate an inspection plan for QA.\n* Track system-level requirements for a loitering munition; when new wingbox subsystem specs are uploaded, Forerunner flags and corrects any inconsistencies with system requirements.\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/7042fafb-b9b4-449a-9bac-9c11b3bf9309)\n\n", "url": "https://www.ycombinator.com/launches/M96-forerunner-copilot-for-aerospace-engineers", "votes": 39, "created_at": "2024-10-29T20:49:59.814Z" } ] }, { "id": 30127, "name": "Loombotic", "slug": "loombotic", "former_names": [ "Fabraicate", "Fabricate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "website": "https://www.loombotic.com", "all_locations": "Toronto, ON, Canada", "long_description": "Loombotic is automating wire harness manufacturing.", "one_liner": "Wire Harnesses in as little as 7 days", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1731992228, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/loombotic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/loombotic.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/loombotic", "x_url": "https://x.com/loombotic", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e37f409d0c03fa596a84b1fe28a4c0313248a1b9.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1684816, "full_name": "Lucas Crupi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-crupi-4a7037177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8fe6a15748d6084776cac776180af4d2ff933a8.jpg" }, { "user_id": 1690221, "full_name": "Ethan Breit", "title": "Founder/CTO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-breit-a7ba81180", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed66d76f6d3aa98325ab274ac03103c6616fe91c.jpg" } ], "jobs": [ { "id": 112445, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/gVVi8Uy-mechatronics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$90K - $150K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "CAD Design", "PCB design" ] }, { "id": 112518, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/3C66pEX-robotics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $160K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112797, "title": "Technical Account Executive", "url": "https://www.ycombinator.com/companies/loombotic/jobs/BUBbBYH-technical-account-executive", "location": "Austin, TX, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114360, "title": "Content Creator & Social Media Manager", "url": "https://www.ycombinator.com/companies/loombotic/jobs/pWrEdog-content-creator-social-media-manager", "location": "Austin, TX, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $95K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85704, "title": "Fabricate - Instantly Generate Engineering Drawings", "tagline": "Mechanical Engineers spend too much time making engineering drawings. Fabricate does it for them.", "body": "# **TLDR**\n\nMechanical engineers **hate** making engineering drawings. Fabricate lets them instantly create engineering drawings for their parts, saving them up to **40** hours every month by doing the tedious work for them.\n\n[Product Video](https://youtu.be/SYAAd9bGSlQ)\n\n# **The Problem**\n\nEngineering drawings are required for every manufactured part, but creating them is tedious and time-consuming. For large industrial projects with **thousands** of parts, engineers spend countless valuable hours on drawings instead of designing new parts. This bottleneck delays production and **wastes** valuable engineering talent.\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/9e451d4b-5f32-4dea-9829-2796f126651f)\n\n# **The Solution**\n\nFabricate analyzes your existing drawings and automatically generates new ones matching your exact standards - from dimensions and annotations to views and formatting. It integrates directly with existing CAD software and maintains consistency across all drawings and manufacturing methods.\n\n# **The Founders**\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/fd42ce0c-7467-431c-84ca-8a3e41a04194)\n\nLucas has been obsessed with CAD his entire life; He became the youngest ever Solidworks expert at 15. Recently, he worked on the Cybertruck battery design.\n\nEthan has been programming since he was 8; most recently worked at Ericsson, a job he was offered for developing an embedded OS on his own at school. \n\nWe met at the Canada Wide Science Fair and have been building together for 6+ years. We both dropped out of university to work on Fabricate.\n\n**Our Ask:**\n\nIf you're making engineering drawings or know someone who is, we'd love to get you started. Email [lucas@tryfabricate.com](mailto:lucas@tryfabricate.com) or book a demo at [tryfabricate.com](http://tryfabricate.com). We're happy to visit your office with donuts to discuss how we can help!", "url": "https://www.ycombinator.com/launches/MIK-fabricate-instantly-generate-engineering-drawings", "votes": 40, "created_at": "2024-11-19T19:55:06.612Z" } ] }, { "id": 30174, "name": "Revise Robotics", "slug": "revise-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "website": "https://www.reviserobotics.com/", "all_locations": "New York City, NY, USA", "long_description": "E-waste recycling facilities spend most of their time and effort sifting through discarded electronics, searching for valuable devices, refurbishing them, and reselling them in second-hand markets.\r\n\r\nOur first product is an AI-enabled robotic system that integrates with these facilities to assess and refurbish hundreds of laptops a day without any human intervention. The system tests laptops, wipes their hard drives, photographs them, and posts them on online marketplaces for resale, regardless of model, manufacturer, or operating system.", "one_liner": "Automating refurbishment of $1T in consumer electronics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1737068200, "tags": [ "Robotic Process Automation", "ClimateTech", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revise-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/revise-robotics.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revise-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30227/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAODIUI2QA%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022724Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCICdQyGY%2BbftNLxtKIYzFPxdUXttuiP0N09%2F%2BUfBHiBuhAiBOSl161zU1GSzXg078adXidT%2BI1mNTN00xIiFabrEuZSrlAwg6EAAaDDAwNjIwMTgxMTA3MiIMkex8rUdJQnYvqkb2KsIDZvHjdb5Nj1eMSDUiIIyyiwfJ8RyPFxer5o1XPlMS8x%2FtN9n%2F7PvS5Wd7oFPHi1qVxZAOUh%2BsJ%2B%2BXOPvWZ3Ae6ZZbt6%2BpSxxIqhHajGvQPEffXaUpP5qEh5zdOBvoNiFOEcL3U5kvAXPdFAeyEQUSC22Zz6qlwEbD4gyjAVIG69Bq2BqpO5gGA142dDrsMk9Fpvvrw4sUrmoFsqVRjQeNNnbJ6kGBUpNWGmGUg9xVdF1g6zjy5AOLq9gaZMWpGvdL2up4UE8tZcCtovhQX7LttuknA2oMDZbhb%2Bm1111BTyQwfpo0mzYMWvLSVFktebdbrXNkCCYHuwzkc%2FAYLLBCHcwr959rGhfijkmBq8zJ6L%2F3m2hFjzDHCnZYPOz0rFWk1O%2FdpaLpo4%2B83owIv8pdLkfxnSwz7jpV83o7ddFuQwi3GyYhgDV9NKraaZUPDf35OffhHBAa9LNH9KBtXE%2B9EJapzAmTZRHX0y1pAaJdqK7NnCs3JXj5MlJbG%2Fk7qe6hMwsDLiNtlbMQ85QzyJJHGU4y3dM2z2PBRjDSvRfVwapQjnLimR6h7fxLZHe1JssWKCLL3Y7dNZqEc8LFx7ZPmRWFMOj92tYGOqYB1OGPMkYIGSgzUnwJVB6Fm37ysfFBg0lS7An85D5284tv08ntQNXM%2B3NjFf0CnSg8DB6Uagn6Pf8Hz0vPosKjbkPeKHdUWICNI6ZBqrBsIZuFlEJamVl3d%2B5M5pi50RkfxaC0jUNRP0kzypvFoXoBWM5zGuVWthjEJhSlwkhKt8FAj4eChg9bDGTNeM9DkgbxKs0YI84QCmRK0pRtLAv0T11YvQ%2FTTg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=a3315cd1ec85a06bb175d3d79563ec6a79b849bc96062b59f3ad085e840ea3d8", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 943950, "full_name": "Rupesh Jeyaram", "title": "Founder/CEO", "founder_bio": "Building AI-enabled robotic systems to refurbish and resell used electronic devices, starting with laptops. Wharton '24, Caltech '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rupesh-jeyaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e904201852f0dfce14feb1c345d0be02af322b85.jpg" }, { "user_id": 1985135, "full_name": "Antonio Monreal", "title": "Founder/CTO", "founder_bio": "Developing robots for electronics refurbishment", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonio-monreal-71b0751b5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a1cb5d67efed639fbb5772386daa39d0e6a022.jpg" } ], "jobs": [ { "id": 93937, "title": "Business Development Intern – Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/cNqu0M0-business-development-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93938, "title": "Engineering Intern — Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/peSRWPy-engineering-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 87007, "title": "Revise Robotics – Automated Electronics Refurbishment 🦾 💻", "tagline": "Our robot tests, refurbishes, and resells used electronics devices!", "body": "**At Revise Robotics, we’re building automated systems to refurbish and resell used electronics.**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/79b9f19d-2610-4a84-b329-7b8624645181)\n\nEvery year, Americans discard more than **30 million computers**. Many of these devices find a second life on the resale market, extending their usefulness and reducing their environmental footprint.\n\nHowever, the process – inspection, data-wiping, reprogramming, and packaging – is **extremely** **tedious and time-consuming**, limiting how many devices can actually re-enter circulation.\n\nWe’re changing that. With robotics, computer vision, and AI, we’re breaking down these barriers and advancing a more circular electronics industry 💻\n\nWe just completed our first pilot project last month, and we are excited to be iterating and gearing up for our second pilot at the end of February!\n\n**Ask**: Introductions to e-waste recycling facilities or IT asset management/disposition companies. Please reach out if there’s someone you think we should speak to! [rupesh@reviserobotics.com](mailto:rupesh@reviserobotics.com) \n\n# **Full Demo Video**\n\n[**https://youtu.be/QMFTsSG-FyQ**](https://youtu.be/QMFTsSG-FyQ)\n\n# **Still Shot**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/ca646ef9-8d31-4865-93cd-6b629a1612c3)\n\n", "url": "https://www.ycombinator.com/launches/MdL-revise-robotics-automated-electronics-refurbishment", "votes": 27, "created_at": "2025-01-21T16:43:12.194Z" } ] }, { "id": 30233, "name": "Inversion Semiconductor", "slug": "inversion-semiconductor", "former_names": [ "Axiom Semiconductor Inc.", "Axiom Semiconductor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.png", "website": "https://www.inversionsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inversion Semiconductor is developing the next-generation chip fabrication machine, to create the most powerful chips 15x faster. Our vision is to reshore advanced chip fabrication capabilities in the West.\r\n\r\nWe're building a lithography machine. Lithography uses light to pattern circuit features on silicon. We're scaling transistors to their physical limits by shrinking particle accelerators 1000x, to create a high power light source. \r\n\r\nUsing our light source we will double transistor density for a given numerical aperture and 3x throughput.", "one_liner": "Manufacturing the most powerful chips, 15x faster", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1740019402, "tags": [ "Hardware", "Manufacturing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inversion-semiconductor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/inversion-semiconductor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inversion-semiconductor/", "x_url": "https://x.com/inversionsemi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1787486, "full_name": "Rohan Karthik", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Inversion Semiconductor (W25), developing next-gen semiconductor lithography machines. \nMasters in Mechanical Engineering from Imperial College London & Royal Academy of Engineering awardee. \nPreviously automated chip design at Arm and led the Karman Space Programme to build record-breaking high power rockets. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohan-karthik-60a0b61b7/", "x_url": "https://x.com/rohankarthik_?s=11&t=VBdqSXL_9iUGm2d8V2oKBg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/640f0673236b8d2a684219c698df989fd02754dc.jpg" }, { "user_id": 2326493, "full_name": "Daniel Vega", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Inversion Semiconductor (W25), developing next-gen lithography machines. \nMasters in Applied Physics from University College London, with a focus on applications of particle physics. \nPreviously created novel ML models for stability optimization of tabletop particle accelerators at CERN, and developed particle accelerators for cancer treatment at Lumitron Technologies\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-r-vega/", "x_url": "https://twitter.com/daniel_r_vega", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a252674e588a5c32406c68d263bbce51435bf5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87848, "title": "Inversion Semiconductor – Scaling Chips to their Physical Limits", "tagline": "Manufacturing the most powerful chips 15x faster", "body": "# Scaling Chips to their Physical Limits\n\nImagine a chip fabrication machine that produces the most powerful chips 15x faster.\n\nSeven months ago, Rohan was automating chip design at Arm while finishing his master’s in Mechanical Engineering at Imperial College London. Meanwhile, Daniel was creating novel ML models for stability optimization of tabletop particle accelerators at CERN. All while completing his master’s in Applied Physics at University College London.\n\nWe realized that we could build a novel lithography machine, to truly kill Moore’s Law. And we could do this by shrinking particle accelerators 1000x, to build a high power light source driven by laser wakefield acceleration (LWFA). \n\nHere’s a concept video of how our lithography machine will work:\n\n\n\n# Background\n\nLithography is the process of using light to pattern circuit features on silicon. It’s the most important step in making chips. \n\nWith a monopoly on advanced lithography machines, ASML produces 13.5 nm “EUV” light by blasting tin droplets and directing the light on to a wafer using mirrors. However, advanced chips constantly demand finer circuit features. To improve resolution, ASML enlarges its mirrors, a trade-off that significantly increases system complexity and cost.\n\nOver the next decade ASML targets 1 kW of EUV light out, with 1 MW of power in. We aim to achieve 10 kW of even shorter-wavelength light. This will also enable our light source to power multiple lithography machines, unlocking billions in annual revenue gains for fabs.\n\n# Currently\n\nWe aim to generate the required high power light using “tabletop” particle accelerators capable of accelerating electrons to extremely high energies over centimeters, rather than the kilometers needed for large accelerators at CERN and SLAC. We’ll do this using plasma waves (wakefields) driven by a high power laser. \n\nSo far we have:\n\n* Set-up a mini laser lab in the basement of the YC office, to test our novel laser stability algorithms\n* Developed initial LWFA prototypes to generate small-wavelength light.\n\nWe’ve secured a strategic partnership with the world’s leading research group for LWFA development – Lawrence Berkeley National Lab and the Berkeley Laser Lab Accelerator (BELLA). Our collaboration, dubbed the Laser Undulator eXperiment (LUX) or BELLA-LUX (Beautiful Light), is initially focused on improving laser stability and testing light generation using our prototypes.\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/4977528a-59c0-47a9-944f-0cf3211ffa2c)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/757f3d74-9e83-4864-bd8b-6d105de5d7a5)\n\n# Next Steps\n\nDuring the BELLA-LUX collaboration, we aim to build a high power, tunable light source – STARLIGHT. We are currently exploring early applications to accelerate technical development towards lithography. Companies like Tesla and Applied Materials are interested in potential applications for industrial x-ray imaging and semiconductor mask inspection.\n\nOur goal is to generate 1 kW of soft x-ray light (20nm – 6 nm). If successful, this milestone will pave the way for a user facility, where booking beam time will be as simple as reserving a SpaceX launch—using your credit card. \n\nSimultaneously, we will develop novel mirror systems to reflect and focus generated x-ray light. This will allow us to demonstrate silicon patterning with our initial LITH-0 system, powered by STARLIGHT.\n\n# Asks\n\nIf you know incredible plasma / particle accelerator scientists or lithography engineers, we’d love an introduction.\n\nIntros to VPs / C-Suite at semiconductor manufacturing companies\n\nGot spare laser system parts (optics, gratings, actuators etc)? We’ll take them.\n\n[Lab snacks](https://neil.computer/notes/thorlabs-lab-snacks/)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/f67b95de-7fd7-46e5-9b82-f26ad0b04ade)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/11a71540-2837-40cd-a44d-937e09753418)\n\n", "url": "https://www.ycombinator.com/launches/Mqu-inversion-semiconductor-scaling-chips-to-their-physical-limits", "votes": 54, "created_at": "2025-02-20T03:24:56.576Z" } ] }, { "id": 30257, "name": "Pave Robotics", "slug": "pave-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.png", "website": "https://pave-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pave Robotics builds robots that seal cracks in asphalt, helping paving companies save time and money. Our robots work 24/7 and deliver higher-quality results than humans.", "one_liner": "Robots that repair roads", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738630910, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pave-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pave-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pave-robotics/", "x_url": "https://x.com/Pave_Robotics", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pave-robotics", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1490740, "full_name": "Josh Kelly", "title": "Founder/CEO", "founder_bio": "CEO at Pave Robotics. Former Mechatronics Engineer at Zipline and Head of Engineering for Mark Rober. Designed and built autonomous porch pirate traps called glitterbombs, and a robot that set up 100,000+ dominoes in 24 hours.\nBachelor's in Mechanical Engineering from Stanford University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshak18", "x_url": "https://x.com/JoshAKelly", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6869b56329abedbb2d781430858faceea9ab3b9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87567, "title": "Pave Robotics - Robots that repair roads", "tagline": "Meet Tracer, the world's first fully autonomous crack sealing robot.", "body": "# **TL;DR**\n\n[Pave Robotics](https://pave-robotics.com) builds robots that seal cracks in asphalt, making road repair cheaper and easier. Our robots work 24/7 and deliver higher-quality results than humans.\n\n​​https://www.youtube.com/watch?v=N8by_u9C8ZI\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/f65f62fa-f633-4d9a-8faf-f349f7c0eaec)\n\n# **The Problem**\n\nAmerica’s roads are in crisis. 42% are in mediocre or poor condition, despite $27 billion being spent annually on maintenance. The process of fixing these roads is slow, expensive, and increasingly difficult due to an aging workforce and labor shortages. Moreover, extended road closures for repairs are dangerous and cause major traffic disruptions.\n\n# **The Solution**\n\nMeet Tracer, a fully autonomous robot that performs asphalt crack sealing faster and more effectively than a crew of six people. Tracer operates 24/7, helping paving companies increase efficiency, reduce costs, and minimize road closures.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/0ea5436e-38dd-4f2b-aeb4-3a3932416ef0)\n\n# **Why start with cracks?**\n\nCrack sealing is the first line of defense against bad roads, but we plan to expand into other forms of road maintenance and paving in the future. We envision a future where roads are continuously kept in pristine condition—and we're building the robots to make that possible.\n\n# **Our ask**\n\nIf you know anyone in the following categories we would love an introduction! Email us at [founders@pave-robotics.com](mailto:founders@pave-robotics.com)\n\n* Paving companies\n* State or local departments of transportation\n* State or local public works departments\n* Private equity firms buying paving companies\n* Large private parking lot or road owners\n\n# **Team**\n\n[Josh Kelly](https://www.linkedin.com/in/joshak18/) and [Mason Landon Smith](https://www.linkedin.com/in/mason-landon-smith/) met while working for the YouTuber [Mark Rober](https://www.youtube.com/channel/UCY1kMZp36IQSyNx_9h4mpCg). Josh led the YouTube team as head of engineering, while Mason was the founding product designer for Crunch Labs. \n\nJosh is a Stanford graduate with a background in Mechatronics at companies like Zipline and NASA JPL. Mason graduated from the Rhode Island School of Design and has a strong track record of building successful products and teams that have gone to market and won multiple awards.\n\nTogether, they created Pave Robotics, with the goal of revolutionizing the way roads are maintained.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/2b6d6580-1bcd-4f5b-922e-97d27f3ff299)\n\n", "url": "https://www.ycombinator.com/launches/MmN-pave-robotics-robots-that-repair-roads", "votes": 64, "created_at": "2025-02-11T15:12:10.695Z" } ] }, { "id": 30276, "name": "General Trajectory", "slug": "general-trajectory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "website": "https://www.generaltrajectory.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "General Trajectory is using AI to solve the world's most important problems, from autonomous defense to scientific R&D.", "one_liner": "AI for the physical world", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738545890, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/general-trajectory", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/general-trajectory.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/generaltrajectory", "x_url": "https://x.com/gentrajectory", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a09fcc4294bb183b611351cfbd5c9e4d1bb97cb.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/203af2059eae51bdf6c7d474ffde4132486c0709.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1366241, "full_name": "Joshua Belofsky", "title": "Founder/CEO", "founder_bio": "Recent graduate focusing on AI for the physical world. Background is in academic ML research.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshua-belofsky-25328523b", "x_url": "https://x.com/joshuabelofsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f608bc7f9da030e188bbc67691c92726b24e872.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96524, "title": "🤖 General Trajectory - A Foundation Model for Humanoid Robots", "tagline": "Reward-guided imitation learning for dexterous manipulation", "body": "\n\n## What is it?\n\nA foundation model that helps humanoid robots pick up unseen objects and perform real-world work. It generalizes to novel objects and scenes, including cases where prior SoTA models achieve 0% success.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/6cbcabb4-44fe-4d86-8b20-4b5220709f58)\n\n## The problem\n\nHumanoid robots can do backflips and kung fu, but still struggle with economically useful work. Dexterous manipulation is the main bottleneck to useful physical labor.\n\n## Our approach\n\nWe collect an efficient set of human demonstrations and train a reward model to improve the base model's grasps.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/86269800-22b9-4a15-bf3c-7d63285ea25d)\n\nThe result is strong generalization: up to 63% gains on difficult objects where the best baselines achieve 0%, while maintaining near-perfect performance on standard objects. Full details are available in our [technical post](https://www.generaltrajectory.com/technical-update).\n\nThe physical world is 80% of global GDP. We believe this research represents progress toward a future in which AI systems are not limited to computer work.\n\n## Open-source\n\nWe open-sourced our teleop stack!\n\n\n\nIt uses vision + wrist trackers instead of data gloves → about **$500** in hardware vs. **\\~$5,000**.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/aeeb02d9-821a-44b5-bef0-f491af1fa15a)\n\n## Call to action\n\nIf you are interested in AI for the physical world (scientific R&D, defense, etc.), please reach out!\n\n* Website: \n* X: ", "url": "https://www.ycombinator.com/launches/P6q-general-trajectory-a-foundation-model-for-humanoid-robots", "votes": 15, "created_at": "2026-01-05T15:51:54.579Z" }, { "id": 88311, "title": "General Trajectory – Reasoning Models for Robotics", "tagline": "Bringing AI into the physical world", "body": "# **TL;DR**\n\nWe’re training models that can reason through physical tasks using chain-of-thought to automate traditionally difficult work in industrial environments like warehouses and manufacturing facilities.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed2288b5-baa9-4959-896d-cd75e4074858)\n\n# How it works\n\nWe fine-tune vision-language models to output low-level robotic controls across primary tasks in logistics: mixed-sku palletization, item picking, sorting, and packing.\n\nBefore predicting the next action, our model is explicitly trained to `` about its next step. This allows it to reason through long-horizon tasks.\n\n\n\n# RL from Verifiable Rewards\n\nOur fine-tuned model is then rolled out in Nvidia’s Isaac Sim where it generates reasoning + action traces that get scored using simple verifiers. This continues to improve the model using photorealistic data without any human in the loop.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/db7af549-6c06-433d-a8da-16d6dffd5737)\n\n# Our ask\n\nWe see logistics as an entry point to even greater automation across industries. Soon you will be able to tell AI to do any physical tasks in the same way current systems can handle the cognitive ones.\n\nIf you have any tasks you’d like to automate or know of anyone interested in working on embodied AI, please reach out: [joshua@generaltrajectory.com](mailto:joshua@generaltrajectory.com)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed970f7d-fd66-473d-9c72-17cc18dedb5d)\n\nJoshua studied CS & neuroscience at the University of Chicago but spent most of his time outside of class doing ML research. He first joined NASA Ames Research Center and later worked at Caltech. His [research](https://scholar.google.com/citations?user=RoD9hE8AAAAJ&hl=en) focused on generally capable AI agents and reasoning.", "url": "https://www.ycombinator.com/launches/MyN-general-trajectory-reasoning-models-for-robotics", "votes": 15, "created_at": "2025-03-06T15:48:57.648Z" } ] }, { "id": 30305, "name": "Forge Automation", "slug": "forge-automation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.png", "website": "https://www.forgeautomation.ca", "all_locations": "Toronto, ON, Canada", "long_description": "Forge Automation runs software enabled factories that deliver custom metal parts in four days or less. Instead of mechanical engineers having to wait two to three weeks for their low volume CNC parts, they can simply upload a CAD model on our platform and we will ship it out in four days or less. We aim to give mechanical engineers the \"Amazon experience\" for custom metal parts.", "one_liner": "Software Enabled CNC Parts Supplier", "team_size": 21, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736647566, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forge-automation", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/forge-automation.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/forge-automation", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1502123, "full_name": "Timothy Seto", "title": "Founder/CEO", "founder_bio": "Co-founder + CEO @ Forge Automation | I make metal parts. Send me CAD, I will make it in the real world.\n\nI went to the University of Waterloo Engineering, and interned at Apple, Formlabs and iRobot. I have been machining for over 10 years and I love building robots and machines. I graduated in the summer of 2022 and co-founded Forge Automation right after.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timmy-seto", "x_url": "https://x.com/TimmySeto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e323b40b6256f205c7b5e8cf0bc59216b4541428.jpg" }, { "user_id": 1631233, "full_name": "Walter Raftus", "title": "Founder/CTO", "founder_bio": "Co-Founder + CTO @ Forge Automation | I love computers, math, and big specialized machines controlled with software!\n\nI went to the University of Waterloo for AI + Mechatronics Engineering, and interned at Nvidia, Trexo Robotics (W19), and Intel PSG working on a bunch of different software ranging from system software, deep learning, and embedded control. I graduated in the summer of 2022 and co-founded Forge Automation right after!", "is_active": true, "linkedin_url": "https://linkedin.com/in/walterraftus", "x_url": "https://x.com/walter_raftus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d7ab215db8f29667413c93869cec9b8fdba5150.jpg" } ], "jobs": [ { "id": 103180, "title": "Manufacturing Software Engineer", "url": "https://www.ycombinator.com/companies/forge-automation/jobs/GAgHVzO-manufacturing-software-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100 - $160 CAD", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 87618, "title": "Forge Automation - CNC parts in 4 days or less", "tagline": "Forge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.", "body": "**TLDR**\n\nForge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.  For customers who prioritize consistent and fast lead times, Forge offers the option to reserve dedicated CNC machines on their floor, giving you a guaranteed SLA on production time. Alternatively, customers can order parts on-demand at a higher price. We’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to start-ups.\n\n**For an instant quote, upload a CAD file at** [**www.forgejobshop.com**](http://www.forgejobshop.com)!\\\n\\\n[**Check out our Factory!**](https://www.youtube.com/watch?v=KSKWPaM_Yno) \n\n**Problem:**\n\nHardware development is hard because it takes 2-3 weeks to receive prototype parts after placing an order with a supplier. For those in the software world, imagine having to wait 2 weeks to compile your code - you would hate your life and nothing would get done! Engineers just want a CNC service that is quick, affordable, and reliable! \n\n**Introducing Forge Automation:**\n\nWe are a North American based machine shop that makes custom, low volume CNC parts. Over the past two years, we’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to brand new start-ups.\n\nAlong with the high quality and fast lead times, customers love our service because it’s the easiest way to order parts online. **Engineers can ditch the drawing and add manufacturing intent directly onto their CAD model within our platform.** Here's a quick demo showing how easy it is to submit an order.\n\n[**Quoting Demo:**](https://www.youtube.com/watch?v=bkJ73dUJ1gs)\n\nWe are excited to launch a new product – **Forge Reserve Machines**. Customers can get dedicated access to their own CNC machine on Forge's shop floor. Forge handles everything - purchasing and maintaining a 3 axis mill, plus providing one of their skilled machinist to make your parts. Forge Reserved Machines represent an SLA guaranteeing you 4 day production times so your parts are never late!\n\n**Our Ask - If you need parts made:**\n\nIt's easy to get started! Upload a CAD model to [**www.forgejobshop.com**](http://www.forgejobshop.com), receive an instant quote, checkout online, and have a part in your hand lightning fast!\n\nIf you want fast, reliable, and guaranteed service on your CNC parts, check out our [**Reserved Machine**](https://www.forgejobshop.com/docs/reserve) option.\n\n![uploaded image](/media/?type=post&id=87618&key=user_uploads/1502123/01702dfd-885e-4894-a3e6-420115ecedc5)\n\n", "url": "https://www.ycombinator.com/launches/MnC-forge-automation-cnc-parts-in-4-days-or-less", "votes": 37, "created_at": "2025-02-12T19:12:07.695Z" } ] }, { "id": 30320, "name": "Proception Inc", "slug": "proception-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.png", "website": "https://proception.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Making humanoids dexterous enough to thread a needle", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1739402915, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/proception-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/proception-inc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proceptionai/?viewAsMember=true", "x_url": "https://x.com/proceptionAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2177365, "full_name": "Jay Li", "title": "Founder/CEO", "founder_bio": "Working on humanoid. Stanford alumni", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaylicareer/", "x_url": "https://x.com/jaylistanford", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e14b438d6bcc0a1dde6f23547a7be16e34e1f3.jpg" }, { "user_id": 2602106, "full_name": "Jack Xu", "title": "Founder", "founder_bio": "UWaterloo Alumni, Ex-Tesla Engineer, Ex-Trexo [YC 19]", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-xu-jxinbox/", "x_url": "https://x.com/_jaku_xu?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/697b46f581ed12f84f2c38b91fa0a4bcace94d71.jpg" } ], "jobs": [ { "id": 84326, "title": "Robotics Technician (Assembly & Testing)", "url": "https://www.ycombinator.com/companies/proception-inc/jobs/YQt8sOz-robotics-technician-assembly-testing", "location": "Palo Alto, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$25 - $35 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robot hand company settles Tesla trade secret suit and announces $11M raise | TechCrunch", "url": "https://techcrunch.com/2026/06/29/robot-hand-company-settles-tesla-trade-secret-suit-and-announces-11m-raise/", "date": "Jun 29, 2026" } ], "launches": [ { "id": 104230, "title": "Proception - The dexterous robot hand we wish existed", "tagline": "The hand that enables robots. The glove that teaches them.", "body": "# **Shipping ProHand: The Human-Like Robotic Hand Built for Dexterous Manipulation**\n\nMost robots still cannot use their hands.\n\nThat sounds strange, because robots have gotten dramatically better over the past decade. They can navigate warehouses, run, jump, perceive their surroundings, and reason over visual scenes. But when it comes to actually touching the world, most robots still rely on simple grippers.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/4c624b0d-144a-4af0-8144-a88769012c9d)\n\nThat works if the object is rigid, predictable, and placed exactly where the robot expects it to be. It breaks down quickly when the task requires the kind of manipulation humans do every day: adjusting grip, feeling contact, using multiple fingers, handling soft objects, or recovering when something slips.\n\nWe started Proception because we kept running into the same bottleneck: humanoid robots will not become truly useful until they can manipulate the world with something much closer to a human hand.\n\nToday we are introducing ProHand 1.0, a high-dexterity robotic hand built for researchers and robotics companies working on contact-rich manipulation.\\\n\\\n\n\n## Why We Built a Human-Like Hand\n\nThe human hand is not just a gripper. It has more than twenty degrees of freedom, dense tactile feedback, tendon-driven actuation, and an incredible ability to adapt through contact.\n\nThat is what makes simple tasks deceptively hard for robots. Tying shoelaces, opening packaging, handling tools, plugging in cables, folding clothes, or repairing electronics are not just vision problems. They are contact problems.\n\nTo build ProHand, we worked closely with hand surgeons and designed the system around the structure of the human hand.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/7dacec7a-3a65-412f-8513-cef8caf8b27f)\n\nProHand includes:\n\n* **Twenty-two degrees of freedom**, with multiple joints per finger, enabling a wide range of human-like motions.\n* **Tendon-driven actuation**, where motors pull cables to move the fingers while keeping the hand lightweight and compact.\n* **A compact and robust mechanical design**, built to be impact tolerant, serviceable, and practical for real robotics research.\n* **Integrated skin-like sensors**, which detect contact and support grip control during manipulation.\n\nThe goal was not to build a hand that looks human for aesthetics. The goal was to build hardware that can interact with the world in the same manipulation regime as human hands.\n\n## The Bigger Problem Is Data\n\nDexterous manipulation is not only a hardware problem. It is also a data problem.\n\nAI has made enormous progress in vision and language because those fields had access to large-scale datasets. Robotics does not have the same advantage. Manipulation data is expensive, slow, and usually collected in labs through teleoperation.\n\nTeleoperation is useful, and ProHand supports standard teleoperation workflows out of the box. But it has two big limitations.\n\nFirst, it does not scale easily. Data collection is limited by how many robots you have and how much time operators can spend controlling them.\n\nSecond, it loses important human interaction signals. When someone teleoperates a robot, they are not directly touching the object. The robot sees motion commands, but it often misses the subtle pressure, contact, and adjustment strategies humans naturally use when manipulating objects.\n\nBecause ProHand is designed around human hand kinematics and skin-like sensing, we can also collect data directly from human hands.\n\nThat is why we built **ProGlove**.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/1ee06ef7-e3b4-422a-b38c-2987494df668)\n\nProGlove turns the same sensor skin used on ProHand into a wearable data collection system. A person can wear the glove, interact with real objects, and capture human manipulation data without needing a robot in the loop. Combined with a headset for visual context, researchers can collect real human hand interaction data and transfer those movements and skills to ProHand.\n\nOur bet is simple: the fastest path to dexterous robots is to build hardware close enough to the human hand that we can learn from human hands directly.\n\n## Shipping This Week\n\nProception has raised **$11 million in seed funding** led by **First Round Capital**, with participation from **Y Combinator** and **BoxGroup**. This allows us to expand the team, scale production, and keep building the hardware and data infrastructure needed for dexterous manipulation.\n\nOur team has designed consumer electronics at Apple that reached millions of users, built robotic systems at Tesla and early-stage startups, and spent years working on the messy details of real hardware: actuation, sensing, reliability, calibration, control, and data collection.\n\nWe are building ProHand in Mountain View, and the first batch of units is shipping this week to researchers and robotics companies.\n\nIf you are building dexterous manipulation systems, humanoid robots, teleoperation workflows, or robot learning pipelines, you can order ProHand on [our website](https://www.proception.ai/product/pro-hand/gen1).\n\nIf you want to help build the hands that make humanoid robots useful, we are hiring .\n\n## ", "url": "https://www.ycombinator.com/launches/R78-proception-the-dexterous-robot-hand-we-wish-existed", "votes": 7, "created_at": "2026-06-29T15:46:59.992Z" }, { "id": 88112, "title": "🦾 Proception.ai - World's most dexterous humanoid", "tagline": "We make humanoids dexterous enough to thread a needle", "body": "Our mission is to revolutionize humanoid robotics by developing robots capable of performing complex tasks, transforming how we interact with technology in industries like healthcare, manufacturing, and beyond.\n\n### **What We Do**\n\nAt Proception, we are developing advanced humanoid robotic hands and robots, starting with a high-precision hand for research. We’ve successfully built our first functional prototype in just 4 months—an incredible milestone that sets us on the path to shipping to researchers soon. Our unique approach to **data collection**—where we collect data through human interaction rather than teleoperating robots—has significantly increased the efficiency of our data gathering. This enables us to train more effective AI models for manipulation and task execution.\n\n\n\n### **The Journey Ahead**\n\nOur robotic hands are just the beginning. In the next few years, we’ll expand from hands to fully autonomous humanoid robots capable of performing a wide range of tasks across industries. From healthcare and elder care to manufacturing and logistics, Proception’s robots will drive automation and unlock new efficiencies.\n\n### **Why We’re Different**\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/6b25ce59-4945-4d41-8c32-2bd1379203d9)\n\n1. **Efficient Data Collection**: Unlike traditional teleoperation methods, we gather data through human-driven interactions, dramatically improving the efficiency of data collection and speeding up the training of AI models.\n2. **Execution**: In just 4 months since founding Proception, we’ve built a functional prototype of our humanoid hand, and we’re now preparing to ship it to research institutions in the near future.\n3. **Scalability**: Our robot is highly versatile and adaptable across a wide range of tasks, with a clear roadmap to scale from research applications to both industrial and household markets.\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/c4f61f1e-d25c-4da2-b887-f72dd29bda8f)\n\n### **What’s Next**\n\nIn the coming 9 months, we will continue refining our robotic hand and prepare for the first shipments to research customers. We’ll also focus on further developing our AI software and preparing for the next phase: scaling to humanoid robots capable of performing real-world tasks. By years 2–3, we plan to deploy humanoid robots into industries that can benefit from automation and complex task execution.\n\n### **Backstory**\n\nMy journey into humanoid robotics began during my two years at Tesla, where I worked on the Tesla Optimus project. I developed a deep emotional connection to the potential of humanoid robots, which inspired me to pursue a path where I could bring that vision to life. Before Tesla, I worked at two startups, both of which successfully IPO’d. Those experiences taught me that the most challenging problems, especially in robotics, can only be solved through the agility and innovation of startups. That’s why I founded Proception—to take on these hard problems and push the boundaries of what’s possible with humanoid robots.\n\n### **Join Us on This Journey**\n\nJoin us in shaping the future of humanoid robotics. If you’re interested in learning more about our progress or exploring ways we can work together, let’s connect! Reach us at [**contact@proception.ai**](mailto:contact@proception.ai) or sign up at [proception.ai](https://proception.ai)\n\nTogether, we’re building the future—one robot at a time.", "url": "https://www.ycombinator.com/launches/MvA-proception-ai-world-s-most-dexterous-humanoid", "votes": 27, "created_at": "2025-02-27T18:50:09.198Z" } ] }, { "id": 30353, "name": "Axal", "slug": "axal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.png", "website": "https://www.axal.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Axal is a quick-turn PCB assembly shop in San Francisco. Samai and Nand build every board themselves, and both are IPC certified. For quantities under 10, we assemble boards in under 48 hours. Order online in 2 minutes at axal.ai.\r\n\r\nSend us your board files and we handle the parts, bare boards, assembly, inspection, and delivery. ", "one_liner": "We assemble PCBs in under 48 hours for quantities under 10", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736891737, "tags": [ "Hardware", "Robotics", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/axal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axalai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1097575, "full_name": "Samai Patel", "title": "Founder", "founder_bio": "I like making electronics. Made projects being used by Lockheed Martin and Amazon Kuiper. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaipatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5a05bba8f4675bd20d06a33f7fa30448bfcc345.jpg" }, { "user_id": 570999, "full_name": "Nand Vinchhi", "title": "Founder", "founder_bio": "Co-founder and CTO of Axal - https://axal.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nandvinchhi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e03b530f45ad3e0b17ec21eb09353b338338a5de.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108343, "title": "Axal: Designing and Getting PCB's in China is Dead", "tagline": "We help companies design and assemble their board in days", "body": "We are launching Axal, a services company that designs, assembles, and tests custom PCBs for hardware startups in days. American manufacturing is back. 🇺🇸\n\nAxal enables hardware teams to get custom PCBs designed and built in the U.S. without needing electrical engineers on staff.\n\nWe’ve helped teams go from no PCB design to a working board delivered in as little as two weeks.\n\nIt’s ridiculous that American hardware startups have to go overseas just to get a PCB designed and built affordably. Together, we can change that and build more hardware in America.", "url": "https://www.ycombinator.com/launches/SBT-axal-designing-and-getting-pcb-s-in-china-is-dead", "votes": 2, "created_at": "2026-07-30T06:10:46.886Z" }, { "id": 91586, "title": "Axal: Legacy Code, Understood in Hours. Seriously.", "tagline": "We help startups who want to integrate their tech into enterprise legacy systems by expediting the process of discovery + rewrite by months.", "body": "Hi, we’re Samai and Nand — Co-Founders of Axal 👋\n\nIf you're selling to a sticky product to enterprises, you've probably run into this:\n\n“We’d love to use your product, but our stack is too old...”\n\nThat’s where we come in.\n\nAxal reverse engineers legacy codebases (Java, C#) to generate **functional requirements and user stories in hours** — essentially helping your clients expedite the discovery process of their modernization. A beta version of our tool then figures out what needs to be rewritten and makes an outline for your team so you can easily rewrite their code and integrate your product. \n\nMongoDB already does this to land enterprise deals — they rewrite the client’s legacy system _just enough_ to make it so they can integrate their product and switch up the DB. Then they are sticky forever.\n\nGet setup in less than 1 hour guaranteed. \n\nAxal Demo - Creating Functional Requirement Document and User story of 30k line Java codebase \n\nhttps://www.youtube.com/watch?v=yXWTFxfw2vE\n\nWe make that process instant and repeatable so if you have a sticky product you can integrate with enterprise codebases easily.\n\n**Why it matters to you (YC founder):**\n\nYou’re not just selling software. You’re selling _change_.\n\nIf legacy tech is blocking your deal, let us unblock it — so you can close faster and look like a hero.\n\nTo get started, email me - [samai@joinaxal.com](mailto:samai@joinaxal.com)\n\nJoin the waitlist rewrite tool: ", "url": "https://www.ycombinator.com/launches/NpC-axal-legacy-code-understood-in-hours-seriously", "votes": 9, "created_at": "2025-06-24T14:50:34.452Z" }, { "id": 86865, "title": "Axal - Automate identifying and fixing architectural tech debt", "tagline": "Break down monoliths, identify tech debt, and fix it with AI at scale!", "body": "Hey everyone, I’m Nand - Founder at Axal👋\\\n\\\nWe built a tool that uses deterministic methods to **automate the hardest parts of application modernization**— identifying architectural bottlenecks and prioritizing those issues based on business value. Once the issues are broken down by Axal, AI can autonomously collaborate with your team to resolve them.\n\n# **The Problem**\n\nEveryone knows that software teams cut corners in development over time, resulting in accumulation of debt tech overtime that slows them down and raises costs. Until now, to address this problem there needed to be long modernization efforts, where stakeholders spent months finding possible solutions to the problem, if you could even find and train the team members needed to do the work. \n\n# **Our Solution: One platform for Application Modernization**\n\nAxal uses deterministic methods to provide teams with clear observability into architectural technical debt.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/5453ac1a-0928-4ba2-91f1-665ad2c142fd)\n\nWe show tech debt scores tailored to your goals. For example, if maintainability is your focus, we display the maintainability index, aligning business impact with priorities to guide effective action.\n\nTechnical teams can leverage our graphs to gain clear insights into class-level and domain-level codebase relationships.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/ceaeb77c-b33c-4ef2-8540-3e5fc5f564d2)\n\nArchitectural issues - domain exclusivity, circular dependencies, dead code, etc. - are automatically detected based on the goals that an organization makes, and engineers can work with Axal to assign their priority.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/f63d172c-c479-4a22-92b6-ab40ffdd2ef7)\n\nOnce prioritized, **Axal leverages AI to autonomously address issues**, while ensuring none of the existing code breaks.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/01d79606-ac19-4fd4-a503-aff34a23a9c8)\n\n**Demo Video** (\\* excludes technical debt scores and AI code fix demonstration)\n\n\n\n# **Our Ask**\n\nPlease reach out:\n\n\\- If you want to see your team's architectural technical debt \n\n\\- If you have a Java, C#, or Go monolithic application you want to modernize, contact us (min. 100k lines of code)\n\nPlease let us know if you have any previous connections to large to medium-sized companies undergoing application modernization\n\nLearn more at [axal.ai](http://axal.ai)", "url": "https://www.ycombinator.com/launches/Mb3-axal-automate-identifying-and-fixing-architectural-tech-debt", "votes": 117, "created_at": "2025-01-15T17:17:50.625Z" } ] }, { "id": 30430, "name": "Almond", "slug": "almond-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "website": "https://almond.bot/", "all_locations": "San Francisco, CA, USA", "long_description": "We build robots for physical AI. Meet Axol - A dual-arm robot designed for real-world tasks using AI.", "one_liner": "A dual-arm robot built for physical AI.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745432874, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/almond-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/almond-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/almond-inc", "x_url": "https://x.com/almond_robotics", "fb_url": null, "cb_url": null, "github_url": "github.com/orgs/almond-bot/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 33058, "full_name": "Saba Khalilnaji", "title": "Founder/CEO", "founder_bio": "ex-DoorDash logistics engineer & ex-CTO Conduit (W23)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saba-khalilnaji-853631241/", "x_url": "https://twitter.com/saba_khalilnaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06726c32d6bbe24037817517e07713cd6f57f7ee.jpg" }, { "user_id": 1049100, "full_name": "Shawn Patel", "title": "Founder/CTO", "founder_bio": "🤖", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawnpatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9b2f7b4ac6a5d23217331e11b703fcb1d08bcb1.jpg" } ], "jobs": [ { "id": 86930, "title": "Founding Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/RXD2GSW-founding-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "Torch/PyTorch", "WebVR" ] }, { "id": 86932, "title": "Founding Mechanical Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/5NPlb6V-founding-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 95984, "title": "Assembly & Production Technician", "url": "https://www.ycombinator.com/companies/almond-2/jobs/pBOdInA-assembly-production-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102952, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/HiQT2fV-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [], "launches": [ { "id": 102875, "title": "Axol - A dual-arm robot built for AI.", "tagline": "Axol is the robot for the teams turning physical AI into reality. ", "body": "Today, we’re launching **Axol**, a dual-arm robot built for real-world tasks.\n\n\n\nWe spent the last year deploying robots in factories and grocery stores.\n\nAnd they kept breaking.\n\nData collection was just too difficult. Reach and payload were limited. Singularities reduced our workspace. Cables failed but support was slow.\n\nThe robots we tried were built for demos, not real tasks.\n\nSo we built our own.\n\n![uploaded image](/media/?type=post&id=102875&key=user_uploads/33058/8029ac83-f0a9-4809-8bf9-f13c97c24bc6)\n\nAxol is for builders who believe robots should work, in the real world, not just staged environments.\n\nAxol’s Specs:\n\n* Extra-long 860mm reach & 4kg sustained payload\n* Joints exceeding human range of motion with fewer singularities\n* Protected cabling and robust hardware\n* Open-source SDK + data collection that works out of the box\n\nOur factory is in San Francisco so we can support teams directly and be there when it matters.\n\n**Available now.**\n\n* Axol — standalone robot\n* Axol Kit — robot + cameras + compute (start training day 0)\n\nFirst orders deliver this week.\n\nIf you're working on manipulation or physical AI, Axol is for you.", "url": "https://www.ycombinator.com/launches/QlH-axol-a-dual-arm-robot-built-for-ai", "votes": 20, "created_at": "2026-06-10T16:30:47.683Z" } ] }, { "id": 30433, "name": "The Robot Learning Company", "slug": "the-robot-learning-company", "former_names": [ "The Robot Learning Company (TRLC)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "website": "https://www.robot-learning.co/", "all_locations": "BY, Germany", "long_description": "", "one_liner": "Tools for the next era of physical automation.", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747554289, "tags": [ "Machine Learning", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/the-robot-learning-company", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/the-robot-learning-company.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/the-robot-learning-company/", "x_url": "https://x.com/RobotLearningCo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/robot-learning-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/382e706b6ee5904a0c147f93557e4b51c58f4a40.png" ], "primary_partner": null, "founders": [ { "user_id": 2427273, "full_name": "Jannik Grothusen", "title": "Founder/CEO", "founder_bio": "Jannik holds a degree in Mechatronics and spent the past two years conducting robot learning research at UC Berkeley and TU Munich. He is actively contributing to open-source software for robot learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jannik-grothusen/", "x_url": "https://x.com/JannikGrothusen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f13baadd68541cb03243f553e8c8050d2014021c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91187, "title": "TRLC - Affordable robotic workers", "tagline": "AI-powered robot platform that makes automation accessible to businesses.", "body": "Hi 👋 this is [Jannik](https://www.linkedin.com/in/jannik-grothusen/) - Founder of The Robot Learning Company.\n\n**TL;DR:** We make automation accessible to businesses with an affordable, general-purpose robot platform designed to automate repetitive, stationary tasks.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/0797ea73-9264-46d4-b089-731c1ec76f89)\n\n# The Problem\n\n**Traditional automation is broken** for tasks outside of factories. It’s expensive, rigid, and slow to deploy. Each new use-case demands a custom $100,000+ integration, months of setup, and only works in tightly controlled environments.\n\n**General-purpose robots promise to change that**. The dream: drop-in systems that replace expensive human labor with cheap, flexible robotic labor. But in reality, most general robotic systems don’t justify their cost. The math doesn’t work:\n\n**_Value = Human labor saved – Robot cost_**\n\nToday, robots lose this equation in two key areas:\n\n* Low productivity: they don’t save enough labor\n* Hardware, setup, and training costs are too high\n\nThe future doesn’t need more traditional robotic arms - it needs smarter, cheaper ones that can adapt quickly.\n\n# Our Solution\n\nWe’re building affordable and easy-to-deploy general-purpose robotic workers.\n\n\n\nWe combine:\n\n* **Low-cost hardware**: a pair of stationary robotic arms for under $10,000\n* **Self-learning control software**: we use imitation learning and offline reinforcement learning to adapt the robot to new tasks and environments from just a handful of demonstrations\n\nThis makes robotic automation accessible to a far broader set of businesses - even ones that previously couldn’t justify the investment.\n\n# About Us\n\nI’m [Jannik](https://www.linkedin.com/in/jannik-grothusen/), a former robot learning researcher at UC Berkeley and TU Munich, with a degree in Mechatronics. I’ve contributed to frontier open-source projects in robotic manipulation, and my work in the space has been [featured by TechCrunch](https://techcrunch.com/2024/11/04/built-in-four-days-this-120-robot-arm-cleans-a-spill-with-help-from-gpt-4o/).\n\n# Our Ask\n\nWe’re looking for pilot partners who want to automate repetitive manual tasks in their operations - and help us build the future of low-cost robotic labor.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/06432ad1-2691-4aac-b7ec-61325aa2c246)\n\n", "url": "https://www.ycombinator.com/launches/Nil-trlc-affordable-robotic-workers", "votes": 21, "created_at": "2025-06-10T19:52:00.513Z" } ] }, { "id": 30434, "name": "Zeon Systems", "slug": "zeon-systems", "former_names": [ "Zeon Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "website": "https://www.zeonsystems.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI-powered systems that automate manual work in scientific labs using robotics.\r\n\r\nScientists simply type their experiment in plain English. Zeon translates it into code and runs it on robotic arms (no coding required).\r\n\r\nBy controlling robots with natural language, we’re enabling automation for every lab, every scientist, and every experiment.\r\n\r\nZeon is lab-aware. It detects equipment, adapts to protocols, and moves autonomously between instruments to execute full workflows.\r\n\r\nWe’re already working with labs at Stanford and UCSF to accelerate discovery - from running overnight nanoparticle fluorescence measurements to safely disposing of hundreds of bacterial samples. \r\n\r\nZeon reclaims time for what matters most: the science.", "one_liner": "AI-powered robotics for scientific lab automation.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745428848, "tags": [ "Robotic Process Automation", "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zeon-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/zeon-systems.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeon-systems/", "x_url": "https://x.com/zeonsystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 379901, "full_name": "Brontë Kolar", "title": "Founder/CEO", "founder_bio": "cofounder & CEO @ Zeon Systems (YC X25)\n-\naccelerating science with robotics + AI.\n-\nbuilt electronic systems for electric aircraft and high-density batteries before pivoting to computational biology research at UCSF and UPenn. early engineer at LatchBio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bronte-kolar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef08976f1f1aa308a330e07e05531de19928bf84.jpg" }, { "user_id": 2502032, "full_name": "Tahir D'Mello", "title": "Founder/CTO", "founder_bio": "cofounder & CTO @ Zeon Systems (YC X25)\naccelerating science with robotics and AI.\n\n----------------\n\nbeen building software and ML for science labs basically all my adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tahirdme/", "x_url": "https://x.com/TahirMello", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/437000c0ac09fa8258a3cafc8d88e43d147e15be.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89951, "title": "Zeon Systems: AI-powered robotics for lab automation 🧪", "tagline": "We turn natural language into real-time lab automation.", "body": "Hey everyone 👋\n\nWe’re [Brontë](https://www.linkedin.com/in/bronte-kolar/) and [Tahir](https://www.linkedin.com/in/tahirdme/) – co-founders of [Zeon Systems](https://www.zeonsystems.ai/). We’re on a mission to make science move at the speed of thought.\n\n# **TL;DR**\n\n**We turn natural language into lab automation.** Scientists type their experiment in English. Our software programs robots to execute it.\\\n\n\n# **Problem**\n\nThe biggest scientific breakthroughs -- _think Selman Waksman mining microbes for antibiotics or Akira Yoshino testing early lithium-ion batteries_ _at Sony_ -- started in labs through painful, manual work. **Decades later, discovery still relies on pipetting, weighing, and prepping by hand.**\n\nIt’s inefficient, exhausting, and slows down discovery. Automation solutions exist, but are often **$$$** or built for **specific use cases**. \n\nWe want to change that.\n\n# **Our Take**\n\nWhat if you could run an experiment by just typing it out? \n\nThat’s what we’re building for: **automation that’s usable by everyday scientists.**\n\n# **The Zeon System 🦾**\n\nWe sell a hardware + software system that runs lab experiments using off-the-shelf robotics. **Labs receive a ready-to-run automation setup** that includes:\n\n* Our AI-powered software\n* 2 off-the-shelf robotics arms with mounted depth cameras\n\n_How it works:_\n\n* Scientists describe protocols in plain English\n* Zeon interprets them, detects lab tools using computer vision, and plans the execution\n* The system generates and executes robotic code in real-time, adapting to the specific lab environment\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/f18d8421-74dc-4213-8f17-a91419504529)\n\n# **What’s Possible**\n\nWe are already piloting with labs at UCSF and Stanford to:\n\n* Run fluorescence screens for nanoparticles overnight\n* Automate multichannel pipetting for clinical assays\n* Dispose of biohazardous waste while researchers sleep\n\n# **Big Picture**\n\nEventually, we want to **enable labs that run themselves**. Think self-driving labs on Mars or in the middle of the ocean doing science while humans dream. 🪐 🧪🧬\n\n# **The Team**\n\n[Brontë](https://www.linkedin.com/in/bronte-kolar/) built electronic systems for electric aircraft and high-density battery packs before pivoting to computational biology research at UCSF, UC Berkeley, and Erasmus Medical Center. \n\n[Tahir](https://www.linkedin.com/in/tahirdme/) has been building software and ML for science labs basically all his adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.\n\n# \n\n# **Our Ask**\n\nWe are looking for **pilot partners** interested in deploying our system in their labs! \n\n* **Know a scientific lab or company that should work with us?** → Email us at [founders@zeonsystems.ai](mailto:founders@zeonsystems.ai) \n* **Resonate with our message?** → Share this post (or our [promo video](https://www.youtube.com/watch?v=x-jid99QPFA))\n\n—\n\n[_Let’s make science move faster._](https://www.zeonsystems.ai/)\n\n\\-Brontë + Tahir\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/3896ab4e-84de-4bfd-ad2e-7fd6f0462be3)\n\n", "url": "https://www.ycombinator.com/launches/NOp-zeon-systems-ai-powered-robotics-for-lab-automation", "votes": 65, "created_at": "2025-04-29T23:00:50.835Z" } ] }, { "id": 30445, "name": "Mbodi AI", "slug": "mbodi-ai", "former_names": [ "mbodi AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "website": "https://www.mbodi.ai/", "all_locations": "New York City, NY, USA", "long_description": "Teach robots new skills through natural language and run reliably in production in minutes.\r\n\r\nMbodi combines generative AI and agent orchestration, turning everyday language and quick demos into precise, reliable robot actions for industrial automation.", "one_liner": "Industrial Robots that Learn and Operate Like Humans", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747670628, "tags": [ "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mbodi-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mbodi-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mbodiai", "x_url": "https://x.com/mbodiai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mbodiai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1639266, "full_name": "Sebastian Peralta", "title": "Founder/CEO", "founder_bio": "Interested in making humans lazier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebjperalta", "x_url": "https://x.com/sebjperalta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53dc9bdb64b25f4747b238dc99fe2c79d0b2cc31.jpg" }, { "user_id": 1111983, "full_name": "Xavier (Tianhao) Chi", "title": "Founder", "founder_bio": "Building the future of AI x Robotics\nEx-Google TL, 8.8.8.8, Guardian of the Internet.\nECE @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xavierchi/", "x_url": "https://x.com/chitianhao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983ab0d4bb8ac297b97811c83724ded2b8c13dbe.jpg" } ], "jobs": [ { "id": 104525, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/NJF6jNS-founding-research-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "ML", "Python", "AI Agents" ] }, { "id": 104526, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/KHiy8Yk-senior-robotics-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Mbodi is solving robotics’ scaling problem, with Xavier Chi | TechCrunch", "url": "https://techcrunch.com/podcast/how-mbodi-is-solving-robotics-scaling-problem-with-xavier-chi/", "date": "Sep 09, 2026" }, { "title": "Meet Mbodi, Automate’s 2026 Startup Challenge winner | Association for Advancing Automation", "url": "https://www.automate.org/ai/industry-insights/meet-mbodi-automates-2026-startup-challenge-winner", "date": "Jul 06, 2026" }, { "title": "Mbodi will show how it can train a robot using AI agents at TechCrunch Disrupt 2025 | TechCrunch", "url": "https://techcrunch.com/2025/10/27/mbodi-will-show-how-it-can-train-a-robot-using-ai-agents-at-techcrunch-disrupt-2025/", "date": "Oct 26, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 10, 2025" }, { "title": "Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots", "url": "https://www.therobotreport.com/mbodi-ai-launches-y-combinator-developing-embodied-ai-industrial-robots/", "date": "May 22, 2025" } ], "launches": [ { "id": 90633, "title": "Mbodi AI- Embodied AI for Industrial Robotics", "tagline": "Teach robots new skills through natural language and run reliably in production, in minutes.", "body": "Hey friends [👋](https://emojipedia.org/waving-hand)\n\nThis is [Xavier](https://www.linkedin.com/in/xavierchi/) and [Sebastian](https://www.linkedin.com/in/sebbyjp/) - Co-Founders of Mbodi AI, and we are making robots learn like humans.\n\n# **TL;DR**\n\n**We’re building an embodied AI platform that lets anyone teach robots new skills — just by talking to them.** No code. No engineers. No week-long reprogram. Mbodi turns natural language and quick demos into precise, reliable robot actions that run in production in minutes, and adapt as often as you need.\n\nWe are now rolling out real-world deployments to customers with a joint commercialization partner, [ABB](https://new.abb.com/products/robotics), the world’s leading robot manufacturer.\n\nhttps://youtu.be/CwRxP3_F9MA\n\n# 🚨 **The Problem**\n\nManufacturing is facing a critical inflection point.\n\n**Labor crisis:** Labor accounts for nearly half of global GDP ($40+ trillion), but over 70% of factories face severe labor shortages.\n\n**Flexibility gap:** Traditional robots require week-long reprogramming by engineers or specialists every time things change.\n\n**Untapped automation potential:** Hundreds of billions of dollars in manufacturing tasks, especially those with high variation, remain out of reach for automation because robots can’t adapt fast enough.\n\nThis mismatch, between inflexible robots and ever-shifting production needs, leaves a massive automation gap across global manufacturing. We simply need robots to be more **versatile**. It wasn’t quite possible — **until now**.\n\n# **🧠 How Mbodi AI Helps**\n\nMbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/cd7897e7-4fc9-4137-8c3d-2b6fe0b487bb)\n\nWe’ve built a cloud-to-edge system that takes your instructions, understands the environment, makes a plan, and turns it into precise, safe robot actions. All within a second. Our universal agent framework can run across any robotic hardware, coordinating perception, reasoning, planning, and control in real time.\n\n* 🕐 No week-long reprograms\n* 👷‍♂️ No on-site engineers\n* 🗣️ Just say what you want done\n* 🏭 Run reliably in production\n\nWhen one robot learns something, the entire fleet does. Individual skills can be reused, repurposed, and adapted instantly — across machines, factories, and tasks.\n\n# 🚀 **What’s Happening**\n\nWe’re moving toward real-world deployments after entering a joint commercialization agreement with ABB Robotics, one of the world’s leading robot manufacturers, following our win in their global AI Startup Challenge from among hundreds. This represents a first-of-its-kind system in industrial automation.\n\nWe’re building toward a world where robots are as easy to teach and adapt as software — turning them into true consumer commodities and making automation accessible to every factory and beyond.\n\n# 📣 **Our Ask**\n\nIf you're a **manufacturer**, **system integrator**, or **robot maker** exploring more flexible and intelligent automation, we’d love to connect and solve automation challenges that were previously out of reach.\n\nReach us at: [**founders@mbodi.ai**](mailto:founders@mbodi.ai)\n\nWe’re also strong advocates of the open-source community. We open-sourced one of our libraries, [embodied-agents](https://github.com/mbodiai/embodied-agents), to enable seamless integration of transformer models into robotics stacks, with more open-source projects coming in the future.\n\n# 👥 **The Team**\n\n[Sebastian Peralta](https://www.linkedin.com/in/sebbyjp/) is a physicist, roboticist, and deep learning researcher. Before Mbodi, he was a core engineer at Google Public DNS (8.8.8.8), and earned a triple major (EE, CS, Physics) from UPenn, where he also conducted graduate research at the GRASP Robotics Lab.\n\n[Xavier (Tianhao) Chi](https://www.linkedin.com/in/xavierchi/) is a former tech lead of Google Public DNS (8.8.8.8), one of the world’s most critical internet services, with work featured in[ The Register](https://www.theregister.com/2023/01/19/google_dns_queries/) and topping[ Hacker News](https://news.ycombinator.com/item?id=39960125). He holds bachelor's and master's degrees in ECE from UIUC.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/87381bac-5704-43f6-9fa3-1796b4af0f53)\n\nWe started Mbodi after seeing robots fall short of their potential — stuck in brittle code and long deployment cycles. With breakthroughs in generative AI and agentic systems, we’re building a future where robots can truly learn, adapt, and scale.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/447ef918-87d3-4a90-a120-04274434878f)\n\n", "url": "https://www.ycombinator.com/launches/NZp-mbodi-ai-embodied-ai-for-industrial-robotics", "votes": 98, "created_at": "2025-05-22T14:25:21.451Z" } ] }, { "id": 30509, "name": "Boost Robotics", "slug": "boost-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "website": "https://www.boostrobotics.ai", "all_locations": "Boston, MA, USA", "long_description": "Boost Robotics is building autonomous mobile manipulation robots to remotely perform manual tasks in data centers. \r\n\r\nThe surge in AI applications is pushing data centers to scale faster than they can manage, leading to suboptimal operations and staffing shortages amid rising power and compute demands.\r\n\r\nWe save data centers millions in insurance premiums and SLA violations by increasing the frequency of inspection and maintenance while reducing the time it takes to triage and address failures.", "one_liner": "Robots for the inspection and maintenance of data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1748984174, "tags": [ "Hard Tech", "Hardware", "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we have lived together, performed and won awards at Bhangra competitions, worked together in school projects, and both received separate robotics Master’s degrees from CMU’s Robotics Institute. In every context we have worked together, we have found ways to grow, overcome challenges, and succeed. We’re excited to take the next step with this venture." } ], "url": "https://www.ycombinator.com/companies/boost-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/boost-robotics.json", "year_founded": 2025, "city": "Boston", "country": "US", "linkedin_url": "https://linkedin.com/company/boost-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e373405fcdb24fc612d085c8d27845b37501b94.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 973181, "full_name": "Hardik Singh", "title": "Founder/CEO", "founder_bio": "Co-Founder @ Boost Robotics.\n\nMS in Robotic Systems Development @ CMU Robotics Institute. Commencement speaker at CMU SCS Masters Ceremony.\n\nI've worked on nearly every robot you can think of: autonomous drones, rovers, tractors, hexapods, quadrupeds, and robot arms - both cobot and industrial.\n\nRobots are hard. Building a talented team greater than the sum of its parts is the only way to do it.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hardiksingh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a81e9e30f870f18ad982d9ab996528d35300c310.jpg" }, { "user_id": 2564407, "full_name": "Hans Kumar", "title": "Founder/CTO", "founder_bio": "Co-Founder at Boost Robotics. Previously at Boston Dynamics and Carnegie Mellon Robotics Institute. Eagles fan and Taco Bell fan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumarhans/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/085ccf5a8fc02e387262789439bdd65ac582ed38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91007, "title": "Boost Robotics - Robots for the inspection and maintenance of data centers", "tagline": "Physical Agents for Digital Infrastructure", "body": "Hello!\n\nWe are [Hans](https://www.linkedin.com/in/kumarhans) and [Hardik](https://www.linkedin.com/in/hardiksingh) - longtime friends and co-founders of Boost Robotics.\n\n**TL;DR**\n\nBoost Robotics builds autonomous mobile manipulation robots that can inspect and physically interact with data center infrastructure.\n\nInstead of dispatching technicians for every cable check, reboot, or hardware swap, data centers can now triage and resolve issues through “robot remote hands”. When not performing interventions, the robots continuously provide 24/7 security monitoring and operational analytics.\n\nhttps://www.youtube.com/watch?v=SVqbUd1crU0\n\n🚨 **The Problem**\n\nAs AI infrastructure continues to scale up, data center physical operations are becoming increasingly difficult:\n\n* **Growth bottleneck:** AI demand is scaling faster than the operational capacity to support it.\n* **Increasingly Remote Locations:** Data centers are being built near cheaper power sources in sparsely populated areas—often with limited access to skilled labor.\n* **Competition:** Hyperscalers are looking for every possible edge. Downtime means SLA violations and lost revenue.\n* **Hazardous Environments:** Maintenance involves high-voltage power and toxic liquid coolants.\n\nNow more than ever, robots are gaining the dexterity and generality to solve these critical problems.\n\n🤖 **The Solution**\n\nWe are building a general purpose robot to handle a variety of use cases in data centers. \n\n* Predict, find, and solve issues faster, even when you’re not physically on-site. \n* Enable one skilled technician to debug multiple issues across multiple sites through context-aware teleoperation, and eventually autonomy.\n* Provide 24/7 security monitoring and inventory management, simplifying compliance and financial audits while collecting data for your data center digital twin models.\n\n**Early Renderings of our Robot**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfjbzl61UaeLu1lIocEDGGwIyFhxHWCF9OIaKZb85nQ4MS-muTqxZDodGZE1IyiKbf8Ryo1f5n_tcic5oV284i0IvnG_4D1V3X2lxolzUC32Nrc4yeRF1uAHrxs71tU3NEnXoT-2g?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n**Bi-Manual Teleoperation of the Manipulation Subsystem**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdqZfjtJGw48PJmg0KUnARoJVCpa29xC7wyK_3JTD7SuCact7vXgAA9csNhLUSKxNknFKbE9xTIsr6Uk5qwVUXSLJdd2QuRUt8EiSbtaFKRofi4p9PJVw8_jp8WkYIMcyr5GwXk?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n# **👥 The Team**\n\nWe met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we lived together, worked together in school projects, and both received Master’s degrees from CMU’s Robotics Institute. We always knew we would start a company together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/f3defc57-762e-47f4-9bfa-4a346913346b)\n\nHardik was previously robotics team lead at an agtech startup where he pivoted the team to a new product and made sales within 1 month. He was selected as commencement speaker for the CMU School of Computer Science Masters ceremony by his professors in recognition of his leadership.\n\nHans was previously a Staff Software Engineer at Boston Dynamics, where he worked on productizing computer vision algorithms for the Spot inspection robot. Before that, he built GPS-denied drone autonomy at a startup and conducted legged robotics research at CMU’s Robotics Institute.\n\n**Our Ask**\n\nWe're actively seeking forward-thinking data centers to pilot our autonomous robotics platform at their facilities. \n\nReach out to us at [**founders@boostrobotics.ai**](mailto:founders@boostrobotics.ai) — let’s shape the future of data center operations together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/6f2eb4dc-5340-46dc-a264-fdf00f57c8ce)\n\n", "url": "https://www.ycombinator.com/launches/Nfr-boost-robotics-robots-for-the-inspection-and-maintenance-of-data-centers", "votes": 73, "created_at": "2025-06-04T02:59:25.110Z" } ] }, { "id": 30512, "name": "MorphoAI", "slug": "morphoai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "website": "https://morpho.ai/", "all_locations": "New York City, NY, USA", "long_description": "We're building an AI powered platform for engineers that are building new robots and machines. \r\n\r\nWe allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots from parts and applying computational design to fine tune machine designs. We're bringing in our deep knowledge of modifying equipment and integrating it into factories keenly understanding what makes hardware hard. \r\n\r\nWe take in parts under consideration, constraints and tasks at hand and our algorithm formulates and fine tunes from 100s of possible design options. All in a few clicks, so engineers can push hardware to market faster and companies can benefit from the inventions being done by their R&D teams. We already have two paying customers in the OEM and system integrator spaces. \r\n\r\nWe are venture backed and supported by a GBP 2.5MM grant by ARIA, the UK Government's invention agency. ", "one_liner": "Software tool for designing robots and machines ", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1746718035, "tags": [ "Robotics", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/morphoai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/morphoai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/morphoai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2358627, "full_name": "Ayna Arora", "title": "Founder/CEO", "founder_bio": "Building an AI Powered CAD platform for robotics and machine engineers. Backed with a grant from the UK government. Founded 2 businesses in manufacturing tech previously, setting up factories each time (one of them is now series B). Former VC (software, manufacturing, and CPG focus). Harvard MBA / Industrials + Manufacturing undergrad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aynaarora/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb25788fb7817f3b1da61f3e473e82d22cc0557.jpg" }, { "user_id": 2225896, "full_name": "Andrew Spielberg", "title": "Founder/CTO", "founder_bio": "\n\nCTO of MorphoAI - interested in simulation methods, design algorithms, and digital manufacturing processes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-spielberg-82073926a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ce7186cd93e4275f6a302f4199728c7a03d3d3a.jpg" } ], "jobs": [ { "id": 76272, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/morphoai/jobs/aTiZdB8-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£40K - £110K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "C#", "Python", "Torch/PyTorch", "Reinforcement learning (RL)", "Unity", "GPU Programming", "Software Architecture", "CAD Design" ] }, { "id": 97107, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/morphoai/jobs/VvPeGQK-chief-of-staff", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£30K - £45K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90214, "title": "MorphoAI - AI‑powered computer‑aided invention for robotics and machine engineering", "tagline": "Turn parts and task requirements into working machine designs in minutes, not years.", "body": "We’re Ayna and Andrew, and we’re building [MorphoAI](https://morpho.ai/). We’re a team of manufacturing tech experts and MIT PhDs who have written 30+ papers on foundational research of AI design methods for robotics engineering. We met at Harvard last year and decided to help people develop hardware at the speed of software. \n\nIn our research, we demonstrated capabilities that allowed engineers to generate 100s of verified optimal designs from parts and task requirements in minutes, and now we’re translating those findings to a product for robotics & automation. We’re cutting R&D cycles by 50 %+ and letting teams ship better hardware, faster!\n\nhttps://www.youtube.com/watch?v=iGmXIsoUc2Y&feature=youtu.be\n\n### **Problem**\n\nDesigning a new robot, machine, or work‑cell still feels like 1985: weeks of manual CAD drawing, long prototype‑and‑test loops, and “does it even work?” uncertainty. A single product can take 40‑100 iterations and burn through months of engineering time. This all amounts to $240B spent on mechanical design each year. https://www.morpho.ai/ \n\n### **Our Take**\n\nWhat if you could take requirements and ideas into _validated machine designs_ automatically? We’re building that for hardware—so engineers can explore more, better-performing designs, fine-tune the ones likely to work, and land on an optimal design before the first part is cut. Engineers input and tasks and constraints (_what the robot must do)_ and their favorite parts to build with, and MorphoAI’s software auto‑generates, verifies, and fine tunes manufacturable designs in minutes—cutting R&D cycles by 50 %+ and letting teams ship new hardware faster. \n\n### **The MorphoAI Platform**\n\n1. **Generate** hundreds of verified design candidates from parts and task requirements in minutes, and select the concepts to fine-tune.\n2. **Simulate** full‑dynamical behavior with optimal, verified controllers.\n3. **Optimize** for cost, performance, weight, manufacturability, and more.\n\nThe result is a ready‑to‑manufacture machine design, programmable motions, and BOM—delivered in minutes, not months.\n\n### **Team**\n\n* **Ayna Arora** (CEO, Co-founder) – Harvard Business School; Former VC, 2x founder in manufacturing tech setting up factories across the world.\n* **Andy Spielberg, PhD** (CTO, Co-founder) – MIT CSAIL; Harvard PostDoc (digital manufacturing). 30+ papers on Optimization algorithms in robotics design.\n* Founding team: Allan Zhao (MIT PhD on GenAI for robot design), Amira Abdel-Rahman (Havard + MIT PhD on design for hardware) Han Wang (simulation expert in research+industry).\n\nWe’re also backed by ARIA (UK Government’s Invention Agency) with a 2.5MM GBP Grant.\n\n### **What’s Possible Today**\n\nOur early users are:\n\n* Resizing robot geometry and motors to maximize reach and payloads.\n* Redesigning workcells to minimize costs, design time, and improve margins.\n* Auto-generating new end-of-arm tooling designs from parts in hours, not weeks\n\n### **Big Picture**\n\nMorphoAI is the “compiler” for the physical world. As we expand our capabilities, any company will be able to invent machines that were previously infeasible— shrinking $MM R&D budgets and accelerating everything from factory automation to medical innovation to planetary exploration.\n\n### **Let’s Talk**\n\nBuilding a new robot or a new cutting-edge machine? We’d love to talk. Drop us a note at [**hello@morpho.ai**](mailto:hello@morpho.ai) .", "url": "https://www.ycombinator.com/launches/NT4-morphoai-ai-powered-computer-aided-invention-for-robotics-and-machine-engineering", "votes": 24, "created_at": "2025-05-08T17:40:20.776Z" } ] }, { "id": 30516, "name": "Bramante", "slug": "bramante", "former_names": [ "LabKick Corporation", "LabKick", "Bramante Biologics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.png", "website": "https://www.bramantebio.com", "all_locations": "Boston, MA, USA", "long_description": "We make reagents and software that are purpose built for AI, automated labs, and personalized medicines.", "one_liner": "Life sciences reagents and software", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747846039, "tags": [ "Biotech", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bramante", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bramante.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bramante-biologics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 547597, "full_name": "Scott Stankey", "title": "Founder/CEO", "founder_bio": "Manufacturing pharmaceutical drugs faster and in the USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/scottstankey/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a50a3cd953745835aea2bed4130d7bb9709bcae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90667, "title": "Bramante Biologics - American drug manufacturing", "tagline": "Manufacturing pharmaceutical drugs faster and in the USA", "body": "We manufacture pharmaceutical drugs faster than current methods and in the USA. We are building microfactories that can handle the upcoming wave of AI-designed drugs and safeguard against biothreats.\n\n[Launch Video](https://www.youtube.com/watch?v=W_lJOs7k7nI)\n\n### **The Problem**\n\nAmerica is at risk of ceding leadership in advanced biomanufacturing to China.\n\n* **Drug manufacturing is moving to China;** 79% of US biotech and pharma companies already have at least one contract with a Chinese firm, _primarily because they are faster._\n* **China is investing billions in biotech**; one third of new compounds licensed by US pharma are now _discovered and manufactured_ in China, up from almost none five years ago.\n* **Over-reliance on foreign biomanufacturing is a national-security risk;** agile, on-shore manufacturing is critical to protect our nation against future biothreats.\n\n### **Our Solution**\n\nA contract development and manufacturing organization (CDMO) for advanced drugs, rebuilt from the ground up to address the future of America’s biomanufacturing needs.\n\n* **Faster biomanufacturing**; Our platform leverages advanced methods to accelerate production timelines and de-risk scale-up.\n* **Modular container factories**; our form factor is a standard shipping container that can be brought up to operation in roughly two weeks and shipped where it is needed.\n* **Supply-chain independence;** by vertically integrating and manufacturing critical equipment in-house, we secure production against global disruptions.\n\n### **Why It Matters**\n\n* **Drugs can be developed faster**; shorter production cycles move life-saving drugs from the lab to the clinic up to a year sooner.\n* **More drugs can be developed**; we will be able to manufacture the thousands of low-volume, personalized biologics that will be designed by AI.\n* **Strengthening US autonomy;** rapid-deploy, U.S.-based capacity protects the nation from supply shocks, geopolitical turbulence, and potential bioweapons.\n\n### **Who We Are**\n\nWe love biomanufacturing. Together, we built Protein Evolution, an industrial biotech company that turned plastic waste into new textile fibers. Scott is ex-McKinsey and a Yale mathematician (he loves a good cost model almost as much as he loves America). Mike earned his PhD in Bioengineering from Penn after completing Penn’s M&T program in undergrad (he builds DNA, software, and bioreactors).\n\n### **Our Ask**\n\n**Please reach out** if you work in drug development, work at a CDMO, or have experience working with or at the FDA: [**founders@bramantebio.com**](mailto:founders@bramantebio.com)\n\n**Follow along** on our journey:\n\n* [**www.bramantebio.com**](http://www.bramantebio.com)\n* [**www.linkedin.com/company/bramante-biologics**](http://www.linkedin.com/company/bramante-biologics)\n\n![uploaded image](/media/?type=post&id=90667&key=user_uploads/547597/1ed9b2f2-f6d9-4253-b3b0-f7561d246977)\n\n_Let’s build the infrastructure tomorrow’s medicine deserves, right here at home._", "url": "https://www.ycombinator.com/launches/NaN-bramante-biologics-american-drug-manufacturing", "votes": 45, "created_at": "2025-05-23T16:36:11.138Z" } ] }, { "id": 30542, "name": "Linewise", "slug": "linewise", "former_names": [ "Comply Genie", "Vision Nexus", "LineWise", "Vision Lab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "website": "https://linewise.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We capture how physical things are made, from the first design to the final assembly, and turn it into training data for frontier AI and robotics models.", "one_liner": "Industrial data layer for physical RSI", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1743036496, "tags": [ "Robotics", "Manufacturing", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/linewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/linewise.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/linewise-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/27f8fa04b65e99bdb2ebabb86e73fd71f35f9bb5.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/35658d6d055e51d7f572f0d0813d8eb3a9b7bf76.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2371704, "full_name": "Tanachart (James) Kujareevanich", "title": "Founder/CEO", "founder_bio": "James is the co-founder and CEO at Vision Lab. MBA from MIT. Former McKinsey Ops consultant.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanachartkujareevanich/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a51605bd53380345564966573f52709d42356d3c.jpg" }, { "user_id": 2373140, "full_name": "Zhichu Ren", "title": "Founder/CTO", "founder_bio": "Zhichu is the co-founder and CTO at Linewise. MIT PhD. Built robotics automation for materials research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhichu-ren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98ef468f54a1e6b309dcae7ccfd3531eacb003e8.jpg" }, { "user_id": 2547908, "full_name": "Will Wenbo Zhang", "title": "Founder/CPO", "founder_bio": "Will is the co-founder and CPO at Linewise. MSE in AI & Robotics at UPenn GRASP Lab. Former founding engineer at Greyscale AI and Bestmow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wenbo-zhang6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dae0fb87a14c53d5de2764acef1e34263c5c100a.jpg" } ], "jobs": [], "news": [ { "title": "Vision lab raises $6m to bring real-world factory data to robotics foundation models · vision lab", "url": "https://thevisionlab.ai/articles/seed-2026", "date": "Jun 15, 2026" }, { "title": "Race Capital - Our Investment in Vision Lab: The Industrial Data Layer for Physical AI", "url": "https://race.capital/blog/our-investment-in-vision-lab-the-industrial-data-layer-for-physical-ai", "date": "Jun 15, 2026" } ], "launches": [ { "id": 99007, "title": "Vision Lab: The Industrial Data Layer for Robotics", "tagline": "Aggregating the Largest Manufacturing Process Data for Robotics Training", "body": "## **TL;DR**\n\nWe capture and structure real factory workflows at scale, pairing first-person industrial video with SOP-level process knowledge, so robotics and AI labs can train models on the data that actually exists inside production environments, not just lab demos. We are already working with 2 frontier AI labs.\n\n🎥 **Our 60-second Product Launch**:\\\n\n\n## **THE PROBLEM**\n\nThe robotics industry is being trained mostly on lab demos, even though robots will ultimately need to operate in messy, high-variance real factories. The industry has **less than 0.3% of the data it needs**, and almost none of it comes from real factory environments.\n\nWhy?\n\n**Industrial data does not exist at scale**\\\nIt cannot be scraped or passively collected. It has to be captured inside real factories, on real production lines, during real operations.\n\n**Raw footage is not enough**\\\nUnstructured industrial video is noise. Models need process context: what step is happening, in what order, with what tools, and whether it was done correctly.\n\n**Crowdsourcing cannot solve it**\\\nUnderstanding industrial actions requires factory expertise. Anyone can label an object; far fewer can distinguish whether a torque check, weld, inspection, or setup sequence was performed correctly.\n\n---\n\n## **THE SOLUTION**\n\nVision Lab solves the industrial data problem by building:\n\n**The most diverse industrial dataset**\\\nSOP-structured production data spanning cutting-edge environments like biotech, EV manufacturing, semiconductors, and medical devices, as well as large-scale manufacturing.\n\n**Industrial access at scale**\\\nA network of **2,000+ factories across 50+ industries in 27 countries**, with operators and factory owners embedded in the capture process so every sequence, tool, and technique is recorded correctly at the source.\n\n**A proprietary VLM for industrial settings**\\\nA temporal VLM trained on SOP-paired industrial footage to understand not just what is happening, but the **order, timing, and correctness** of real industrial processes. Our state-of-the-art VLM outperforms Gemini by **2.5x on temporal understanding in industrial settings**.\n\n---\n\n## **PARTNER WITH US**\n\nIf you believe the next decade of robotics and world models will depend on **real-world industrial data, not just compute**, we’d love to talk.\n\nVision Lab partners with robotics labs, frontier AI teams, and manufacturers to build the default industrial data layer for robotics.\n\n**Contact:** [founders@thevisionlab.ai](mailto:founders@thevisionlab.ai)\\\n**More info**: [www.thevisionlab.ai](http://www.thevisionlab.ai)\n\n![uploaded image](/media/?type=post&id=99007&key=user_uploads/2371704/81b524d4-30fd-40cf-9b55-6cacc2bcaffb)\n\n", "url": "https://www.ycombinator.com/launches/Pkt-vision-lab-the-industrial-data-layer-for-robotics", "votes": 18, "created_at": "2026-03-23T17:15:21.041Z" }, { "id": 90196, "title": "LineWise - AI Copilot for Manufacturers", "tagline": "AI that troubleshoots your production line", "body": "### **TL;DR**\n\nLineWise is building an AI assistant for manufacturing teams to get their production lines back up and running - fast.\n\nWe connect siloed factory data (PLCs, maintenance logs, manuals) to triage faults, guide technicians to fixes, and capture every resolution for smarter troubleshooting in the future.\n\n🎥 **Our 60-second Product Launch:\\\n[https://youtu.be/DfnmQ4k8q-k](https://youtu.be/DfnmQ4k8q-k)**\n\n### **THE PROBLEM**\n\nWhen a line goes down, it can take **hours** to identify the problem. Engineers and technicians chase PLC logs, flip through outdated manuals, and rely on the one person who “just knows.” While production stalls, tribal knowledge disappears, and the same issues repeat.\n\n### **THE SOLUTION**\n\nLineWise centralizes critical knowledge by integrating siloed data from IoT sensors, maintenance records, and machine manuals. It ranks the most likely causes and guides the team to a fix in just **minutes**. But the best part? It remembers every issue for next time and advocates for preventative actions.\n\n---\n\n### **How LineWise Works**\n\n🔧 Upload an error code image or describe the issue in a message.\n\n🤖 The AI provides a refocused problem statement for confirmation.\n\n📊 The AI dynamically ranks possible hypotheses of causes by probability.\n\n🧠 A human validates each hypothesis to identify the true cause.\n\n🛠️ Resolve the issue by following a step-by-step guide.\n\n🔍 Conduct further investigation to uncover the root cause.\n\n📚 Enrich the knowledge base with insights from the issue and resolution.\n\n---\n\n### **Join Us to Revolutionize Manufacturing**\n\nLineWise partners with forward-thinking manufacturers to minimize unplanned downtime, empower frontline teams, and unlock the value of siloed data within a company. \n\nIf that sounds like you, we’d love to talk.\n\n🔧 **Want to see LineWise in action?** Contact: [info@linewise.io](mailto:info@linewise.io)\n\n![uploaded image](/media/?type=post&id=90196&key=user_uploads/2371704/9ed0ed2e-2221-436f-8407-534f1abd18a2)\n\n", "url": "https://www.ycombinator.com/launches/NSm-linewise-ai-copilot-for-manufacturers", "votes": 37, "created_at": "2025-05-07T23:13:06.095Z" } ] }, { "id": 30604, "name": "Parametric", "slug": "parametric", "former_names": [ "Intelligent Machines" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6077089b2820cf087e262d7c3ff9da8b9617d791.png", "website": "https://parametric.company/", "all_locations": "San Francisco, CA, USA", "long_description": "Parametric builds autonomous physical businesses.", "one_liner": "Physical businesses that run themselves", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1754696414, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parametric", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/parametric.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parametric-pbc", "x_url": "https://x.com/parametricpbc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6077089b2820cf087e262d7c3ff9da8b9617d791.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7e494ab945324dd0a87ec5dbcc4f9f6cfae50f3f.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1385556, "full_name": "Cody Swain", "title": "Founder/CEO", "founder_bio": "Previously offline simulations for Modern Recommendation Systems at Facebook. Founded one of the first non-custodial stablecoin wallet companies, raising over 7M from Galaxy, Arrington, and more. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/cody-swain-89b621118", "x_url": "https://twitter.com/c0dyswain", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/855ed46a1e8d5126a926f64fdab426a0f3951bc7.jpg" }, { "user_id": 2757584, "full_name": "John Newsom", "title": "Founder/CTO", "founder_bio": "Led the self-driving team at Parallel Systems and worked as a researcher at BAIR focused on robotics, world models, and large language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/newsom/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/207f87cc2aee7875ffde47a2f3f9baf29b041432.jpg" } ], "jobs": [ { "id": 99768, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/parametric/jobs/tGNHtH7-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $200K", "equity_range": "0.05% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104827, "title": "Mechatronics Engineer, Intern (Fall/Winter '26)", "url": "https://www.ycombinator.com/companies/parametric/jobs/xnrysgJ-mechatronics-engineer-intern-fall-winter-26", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95425, "title": "Parametric: RL for Robotics", "tagline": "Robots that learn from customer feedback", "body": "**TL;DR**\n\nExisting robots learn generic averages from massive datasets. Our robots learn from customer feedback.\n\nWe solve the RL feedback loop for robotics, allowing our robots to learn from _your_ specific standards via an automated reward pipeline that combines customer feedback with an intelligent judge model. This is the only way to capture the multi-trillion dollar “long tail” of unique, high-aggregate-value business tasks. \n\nWe’re live with real customers today and aggressively improving model performance. Our team led autonomy at Parallel Systems (series B startup; 100M raised) and scaled AI revenue for Facebook’s recommendation systems.\n\nhttps://youtu.be/EhiYJT52EJY\n\n**The Problem**\n\nThe real market for general purpose robotics is a multi-trillion dollar **“long tail” of differentiated tasks.** This is the market that traditional automation can’t touch. The core technology to solve this is _finally_ viable, but the long tail means the only path to success is adaptation to millions of specific customers' needs. \n\nWe’ve spoken to countless customers. No one has ever asked for a human form factor. They demand three things: **reliability, throughput, and control**. They want boxes packed in a specific order or towels folded lengthwise twice. Traditional learning algorithms don’t give this customer specificity.\n\nWhen you work backwards from these _actual_ customer requirements it becomes clear that we’re missing the bridge between customer feedback and model improvement.\n\n**Our Approach**\n\nWe build **robots** that learn from customer feedback and improve continuously. \n\n1. Adaptive Intelligence: At its core, an automated pipeline that combines customer feedback with a judge model to RL fine-tune a model and steer it towards positive behaviors, as defined by customers.\n2. Pragmatic Hardware: A mobile robot with a wheeled base and bimanual arms. Designed for long uptime and high throughput.\n\n \n\nOur models can learn new behaviors on-site with less than an hour of data, delivering low cost, effective automation immediately. \n\nIf you’d like to learn more, please reach out to us: [hello@parametric.company](mailto:hello@parametric.company).\n\n![uploaded image](/media/?type=post&id=95425&key=user_uploads/2757584/514106c9-df57-4f4e-aff8-de58700525d3)\n\n", "url": "https://www.ycombinator.com/launches/Op7-parametric-rl-for-robotics", "votes": 13, "created_at": "2025-11-12T07:26:05.335Z" } ] }, { "id": 30624, "name": "Verne Robotics", "slug": "verne-robotics", "former_names": [ "Verne Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d892cc07af7461203238df538f63d3eafe2a9635.png", "website": "https://vernerobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Verne builds general‑purpose physical AI. We deploy robots to expand the productive capacity of the physical world.", "one_liner": "AI models that teach robots new skills in hours", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753480338, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/verne-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/verne-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vernerobotics", "x_url": "https://x.com/VerneRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d892cc07af7461203238df538f63d3eafe2a9635.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1318663, "full_name": "Neil Nie", "title": "Founder", "founder_bio": "Co-founder and CEO of Verne Robotics (S25)", "is_active": true, "linkedin_url": "https://linkedin.com/in/neilnie", "x_url": "https://x.com/neil_nie_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8ab4e9b2aa4d380206db2c606decb90832fbea8.jpg" }, { "user_id": 415610, "full_name": "Aditya Jha", "title": "Founder", "founder_bio": "Co-founder and COO of Verne Robotics (S25)\n\nPreviously: Cornell, Microsoft, writing poetry, running marathons", "is_active": true, "linkedin_url": "https://linkedin.com/in/adityajha21", "x_url": "https://x.com/nolitadrip", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cae950772b5b655d45ad62650c6cf787e0c2ee99.jpg" } ], "jobs": [ { "id": 85597, "title": "Robotics Operator ", "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/7LFahea-robotics-operator", "location": "San Francisco, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 86696, "title": "Robotics Data Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/9SnPqFO-robotics-data-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$110K - $175K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] } ], "news": [], "launches": [ { "id": 92471, "title": "Verne Robotics: Robot Arms that Learn New Skills in Hours", "tagline": "The Robots of the Future, Arriving Today", "body": "**TL;DR:** We’ve developed the SOTA model for controlling robot arms, allowing our arms to learn new skills in hours instead of weeks. This enables rapid deployment and a unique business model where we can let companies pay by-the-hour, instead of requiring massive capex. We already have a biotech unicorn using our robots in production to package delicate chemical vials.\n\nhttps://www.youtube.com/watch?v=WHzjweFnbkk&feature=youtu.be\n\n# **The Problem: Robots are difficult to deploy & have fixed workflows**\n\nTraditional robot arms often require months of custom engineering and planning to integrate. These bulky, rigid, and expensive systems take up substantial floor space and are hard-coded for a single workflow. Adapting to new tasks means weeks of downtime and reprogramming. As a result, companies often default to increasing headcount to keep up with demand.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/7be314c8-ffa9-46e3-82cf-34b72e78c2cd)\n\n# **What we do: Drop-in autonomous robot arms that deploy in days**\n\nOur first product – Nemo3 – is a bimanual robot that can handle objects within a 2.5-foot radius, supports payloads up to 4 lbs, and can be mounted flexibly in various environments. Unlike traditional robot arms, Nemo3 rapidly learns new tasks and adapts to changing conditions on the fly. Our AI decomposes 30 minutes of tele-operation data into skills and uses diffusion models to learn each skill. The result is fast and robust automation for our customers. \n\nAs one of our customers put it: “What surprised me most was how fast you set it up. After one weekend it was set up.” It took us just 4 days to get the robot deployed at ABClonal - from unpacking the robot to automating the vial packing task.\n\n# **Who needs this**\n\nOur robots excel at dexterous manipulation tasks. Here are a few industries we can help:\n\n* DTC Meal Kits: Speed up meal kit assembly with automated packing. \n* Consumer Packaged Goods: Automate kitting to create variety packs with mixed SKUs. \n* Warehouses/Logistics: Sort parcels and pack irregular items faster and at lower cost.\n* Biotech: No more manual clean room disinfection or glovebox work\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/13eac3c1-2454-494a-9bcc-85819cd28f34)\n\n# **Our Ask**\n\nDo you know any manufacturers, distributors, or logistics companies burning time & money on repetitive manual tasks? Maybe they’ve tried other solutions and think it’s impossible to automate?\n\nReach us at: [founders@vernerobotics.com](mailto:founders@vernerobotics.com)\n\nBook a time: https://cal.com/vernerobotics/30min\n\n# **The Team**\n\nNeil is a leading robot learning researcher from Columbia and Stanford. At Columbia he was advised by Prof. Shuran Song and at Stanford he was advised by Prof. Jiajun Wu, as part of the Vision & Learning Lab led by Prof. Fei-Fei Li. Neil holds two patents on multi-modal perception from his time at Apple, where he helped build the Apple Vision Pro. Neil left his PhD at Berkeley to start Verne Robotics.\n\nAditya led Azure Copilot from private preview to GA Launch on Microsoft’s product team. He graduated Phi Betta Kappa from Cornell University. \n\n🤝 We met in high school tinkering with robots and now our mission is giving every company access to automation.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/d410a5f6-dcca-419e-a884-8b09536ae157)\n\n", "url": "https://www.ycombinator.com/launches/O3T-verne-robotics-robot-arms-that-learn-new-skills-in-hours", "votes": 87, "created_at": "2025-07-26T14:02:02.689Z" } ] }, { "id": 30662, "name": "DeepAware AI (Robotics Center of Silicon Valley)", "slug": "deepaware-ai-robotics-center-of-silicon-valley", "former_names": [ "DeepAware AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b55e7c4492211c3d35247562da291230d55e6cdb.png", "website": "https://roboticscenter.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "DeepAware (Robotics Center of Silicon Valley, https://roboticscenter.ai/) is the fastest way for enterprises and researchers to get robots and robotics parts in the US — 72-hour delivery or Bay Area pickup.\r\n\r\nBeyond hardware, we help teams collect teleoperation data, build reinforcement learning environments, and deploy robots into production. 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Automation for next-gen AI data centers", "tagline": "AI-driven automation that makes any data center as secure, efficient, and adaptive as Google’s or Amazon’s.", "body": "## **DeepAware - Automation for next-gen AI data centers**\n\n👋 Hello world! Are you ready to embrace a much more efficient AI infrastructure? Check out [DeepAware](http://deepawareai.com/) / [LinkedIn](https://www.linkedin.com/company/deepaware/):\n\nhttps://youtu.be/mywozPhOAnA\n\nTL;DR\n\n1. DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.\n2. Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/4188b3ad-71bd-4af7-a52d-eac733f67211)\n\n**Problem**\n\n1. With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit **$1 trillion by 2030**\n2. Data centers waste 20–30% of energy due to siloed tooling and manual controls.\n3. Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/c08c6a9b-22d9-4ffa-830a-c828ce7597a5)\n\n**Solution**\\\nDeepAware brings Google- and Amazon-grade AI controls to any data center:\n\n1. **RL Scheduler** optimizes GPU workload placement for power, performance, and cost.\n2. **Real-Time Market Integration** shifts workloads to low-price windows and supports demand-response programs.\n3. **Unified Dashboard** for one-click policy tuning, automated alerts, and “what-if” scenario testing.\n4. **Autonomous Robotics (coming soon)** for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeWFdq7APkR0uqewAgWtXeKANKr7EDV1KIz0diikWoGKDlTmA6bqIP_-8vNP0V4Fp9d0il-oEnk8u4uCkO_usPJd4xVHtCOifCEAgMO4muD-Dh7s_sFDGyNnR8YeClKD71vLBoOeA?key=Ok6o8HSu--upaY5wBSe41Q)\n\n**Our Team:** \n\n1. We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.\n\n**Traction:**\n\n1. **6-digit agreement** with a major 30 MW+ data center operator to use our system.\n2. **Simulation results** show 15% energy savings.\n3. **Industry validated** through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.\n\n**Ask:\\\nWe’re looking for:**\n\n1. **Data center operators** (and people in the AI infra sector) interested in piloting AI-driven optimization.\n2. **AI/ML researchers** tackling real-world control problems.\n\nGot feedback or want to pilot? Reach out: 👉 [jerry@deepawareai.com](mailto:jerry@deepawareai.com) or [LinkedIn](https://www.linkedin.com/in/jerryh01/) visit http://deepawareai.com/.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/03fe5788-d736-48c7-83f3-98bf11b31fca)\n\n", "url": "https://www.ycombinator.com/launches/OBl-deepaware-automation-for-next-gen-ai-data-centers", "votes": 15, "created_at": "2025-08-14T01:42:09.062Z" } ] }, { "id": 30703, "name": "Physical Turing", "slug": "physical-turing", "former_names": [ "Riff", "GoRiff" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png", "website": "https://physicalturing.ai/", "all_locations": "New York City, NY, USA", "long_description": "Physical Turing is a neo robot deployer. Our core tech lets us deploy any robot fast, and every deployment produces the real-world data we use to train our own intelligence.\r\n\r\nWe're starting by automating industrial inspection and security tasks, which have historically had labor shortages due to their safety risks.", "one_liner": "Next generation robot deployer", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1752283172, "tags": [ "Robotics", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/physical-turing", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/physical-turing.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/physical-turing", "x_url": "https://x.com/rifflab", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ec9a6ee68dafa82450d8affd515bbf47d968e5e4.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2491351, "full_name": "Adith Reddi", "title": "Founder/CEO", "founder_bio": "Building Physical Turing | Berkeley CS, music producer (1M+ streams), AI whiz", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adithreddi/", "x_url": "https://x.com/adithreddi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf79654eb9926f610e9226cea25b3ce23786f144.jpg" }, { "user_id": 2545325, "full_name": "Kenny Zhang", "title": "Founder/CTO", "founder_bio": "Building Physical Turing | Berkeley CS, Music Producer, Formerly @ Tencent, Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenny-zhang-jinlin/", "x_url": "https://x.com/Zerkka0819", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f477208af46421413842cbf7e2345d5b82c4aa44.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92151, "title": "Riff – Cursor for music production", "tagline": "Riff is a music editor w/ superpowers — make music without needing extreme technical chops.", "body": "Hey YC!\n\nWe’re Adith and Kenny — the founders of Riff!\n\n# **TL;DR**\n\n[Riff](https://goriff.com) is a **music editor with superpowers** where experienced producers can be 10x more productive and hobbyists can delight in making music without needing technical chops.\n\n[**https://youtu.be/bjyjtr8-yz8**](https://youtu.be/bjyjtr8-yz8)\n\n# **Problem**\n\n**Slow**\n\n🖥️ ❌ Legacy music production software is clunky and weighed down by archaic UX.\n\n**Repetitive**\n\n🎧 ❌ Musicians sometimes spend hours making changes that should realistically happen in minutes. With legacy software, there is no high-signal way of getting your creativity down.\n\n**High skill barrier**\n\n🎸❌ The difficulty of existing tools blocks people with musical interest but no patience to learn complex audio engineering.\n\n# **Solution**\n\nRiff is an AI music editor meant to make music creation easier, yet still keeps the artist in charge.\n\n🤘 Add sounds in your style directly into the editor using AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/381a389e-ba7a-41c9-9954-b5994667ec53)\n\n🎵 Arrange sounds with AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/d7011ba4-8c5c-4c3b-b46c-0f73dedce6c2)\n\n# **Team**\n\nAdith and Kenny met at Berkeley through a music collective they started (now 1200+ artists large).\n\n🎹 Adith has been making music for \\~5 years, has 1M+ streams on Spotify, and is deep into audio AI.\n\n🥁 Kenny has been making music for \\~8 years, Ex-Tencent Ex-Amazon, and releases frequently on Spotify.\n\n# **Who’s it for?**\n\nIn the short run, we’re targeting aspiring musicians who are between entry level music software like GarageBand and BandLab. Very soon, we’ll have enough features that we can directly compete with FL/Ableton/Logic/Pro Tools and get experienced producers onboard.\n\n# **Our Asks**\n\n**If you answer yes** to any of these questions, would be great if you can **share this post** with your network:\n\n* Do you know someone who has always wanted to make music but finds the tools too hard?\n* Do you know professional artists who can sing/play instruments but do not know digital music production?\n\nYou can reach out to us here: [founders@goriff.com](mailto:founders@goriff.com) or 610-762-5102\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/0674ebe1-dc13-4e4a-9c79-5c4599a4829f)\n\nThanks for your time everyone!\n\nBest,\n\nAdith and Kenny\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/a37461fa-e46b-4ef8-b5f6-a4f71352d3c7)\n\n", "url": "https://www.ycombinator.com/launches/NyJ-riff-cursor-for-music-production", "votes": 80, "created_at": "2025-07-15T14:10:27.207Z" } 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for the university's rocket team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-vw", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cc0cc808d31a9fac0b3e6db7c3efefa37562714.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30717, "name": "Iron Grid", "slug": "iron-grid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74e6bdb4c255f21276dac2d593eebde20bf29b57.png", "website": "https://getirongrid.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI-Native Data Center Engineering", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1754064844, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], 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>$200M); Stanford Chemical Engineering", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elizabeth-fern-morrison/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10c84185605665ba5bb6054a2e98e89679690e28.jpg" }, { "user_id": 1346739, "full_name": "Gabriele Pozzato", "title": "Founder/CTO", "founder_bio": "AI-Native Data Center Engineering\n\nBattery multiphysics modeling at Form Energy\nDeveloped IronGrid’s risk-modeling infrastructure during his postdoc at Stanford\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriele-pozzato-ph-d-2167a2107/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7de222bab1db5ac91e939c3775c7d6c48ba0a30d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30728, "name": "OS3", "slug": "os3", "former_names": [ "Observee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.png", "website": "https://os3robotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "OS3 is building the platform that makes intelligent robots accessible to every business.\r\n\r\nToday, robotics is constrained by two fundamental bottlenecks: hardware is too expensive to deploy at scale, and robots are difficult to train because high-quality robotics data is scarce and costly to collect. \r\n\r\nWe built OS3 to solve both.\r\n\r\nOur two-person team designed and a US-made mobile humanoid robot for a fraction of the cost of commercial alternatives. On the intelligence side, instead of relying on expensive robot-generated training data, we trained our own video-action model on 150,000 hours of real-world video spanning more than 2,000 tasks. Every deployed robot feeds new experience into our reinforcement learning pipeline, self improving robot fleet over time.\r\n\r\nThis creates a robot that can be deployed across industries to automate repetitive, physical work without requiring a new robot or training pipeline for every task. Our robots are already deployed in hotels, with customers now expanding the platform into biotech, hospitals, and data centers, including a wet lab at Stanford.\r\n\r\nOur mission is to do for robotics what Apple did for personal computing: take technology that was once expensive, specialized, and inaccessible and make it powerful and usable at massive scale. We’re building toward a world with billions of intelligent robots, and OS3 is the platform that makes that possible.", "one_liner": "Affordable, intelligent humanoid robots built to deploy at scale", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753297896, "tags": [ "Hardware", "Robotics", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/os3", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/os3.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/os3", "x_url": "https://x.com/os3robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1427209, "full_name": "Rishabh Chanana", "title": "Founder", "founder_bio": "Built a computer at 10. First line of code at 12. Built & programmed a robot at 17.\n\nGrad School at UCSD, Robotics & AI. NLP research with Harvard and Georgia Tech. Trained LLMs at ServiceNow & built patented ML systems.\n\nNow soldering and training robots at OS3.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/risos8200/", "x_url": "https://x.com/risos8200", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ef6e03c90f9e979491f4a8676962acf0df0db05.jpg" }, { "user_id": 1909563, "full_name": "Chris Hailey", "title": "Founder", "founder_bio": "Co-Founder at OS3. Ex-Coinbase software engineer on the asset addition team, generated over $19 billion of trading volume. Turned a YC hackathon winning project into a $10K MRR idea. Undergrad CS from USC with Presidential Merit scholarship. Serial marathon runner, most recently completed the 2025 Oakland Marathon in 3 hours 12 minutes.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrishailey8", "x_url": "https://x.com/realChrisHailey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef8f471703ec1718bd79c1c35df1da5a33528f6.jpg" } ], "jobs": [ { "id": 100908, "title": "Mechanical Design Engineer - Robot Parts & Enclosures (Contract)", "url": "https://www.ycombinator.com/companies/os3/jobs/r2aKeWa-mechanical-design-engineer-robot-parts-enclosures-contract", "location": "San Francisco, CA, US / Remote (IN)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "₹360K - ₹800K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design" ] } ], "news": [ { "title": "Meet The YC Startups Betting On What Comes Next", "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/", "date": "Sep 03, 2026" } ], "launches": [ { "id": 110139, "title": "OS3: Intelligence and Machines for Physical Labor", "tagline": "Semi-humanoid hardware & Model based on 150k hours of Videos. Preorders Live Now", "body": "**TL;DR: OS3 is building semi-humanoid robots for physical labor. Our first robot, H.A.L.E 1.0, is built for everyday human tasks, and our first model is based on 2,000+ distinct real-world tasks and 150,000 hours of video data. We are opening up pre-orders to all with shipments starting this Fall.**\n\n**Physical AI Problem:**\n\nA lot of teams and businesses want to build and deploy in the robotics space. But they have to source parts or buy hardware from different vendors. Furthermore, the recent import ban makes it even harder for beginners and startups to use the latest hardware, unless they are willing to spend tens of thousands of dollars. Post hardware, constant data collection is needed to adapt open or closed-source models to the ever changing hardware choices. In other words, everyone keeps reinventing the same wheel of modern robotics development over and over again. \n\n**Our solution:**\n\n[**Video Link**](https://youtu.be/dDwaQbZYPLQ)\n\nWe built OS3: Both the hardware from ground up and the model to control the hardware. Our first robot, H.A.L.E. 1.0 (Human Aligned Life Enhancing), is designed to handle a wide range of everyday physical tasks, and we are presenting the prototype unit today.\n\nOur goal is towards pushing American robotics forward while ensuring the state of the art is available to all. \n\n**Hardware and Model:** \n\nIt features a bimanual embodiment with an omni-directional base, full height control to pick up objects directly from the ground while being able to reach top shelves, and a battery that can last a whole work day. Additionally, our design is primarily focused on safety and user-friendliness; a person can start and stop a task at just the touch of a screen on the back of the robot or a mobile app. \n\nThe intelligence layer is a two system architecture, with a high level planner layer and a lower level execution layer. The model has been trained on 150,000 hours of video data spanning over 2,000 real world tasks. Technical report coming soon, once evaluation runs finish. Hardware specs and engineering deep dive posted on our website.  \n\n**Preorders Live now** \n\nShipments begin Fall 2026.\n\nOur strong supply chain enables us to make our first low-cost robot starting at just under $10k for businesses to deploy (available in private beta now) and under $15k for developers to experiment with. We are already working with hospitality providers and biotech companies to deploy our robots. \n\n[**Order Link**](https://os3robotics.com/deploy/)**: 99 dollars deposit fully refundable**\n\nWe are also working on our own custom actuators right now, enabling even higher payload for our robots. Happy to discuss more if your business involves such use cases.\n\n**Talk to us:** [hi@os3robotics.com](mailto:hi@os3robotics.com) or book some time [here](https://cal.com/os3robotics/bf?overlayCalendar=true). ", "url": "https://www.ycombinator.com/launches/SeR-os3-intelligence-and-machines-for-physical-labor", "votes": 7, "created_at": "2026-08-11T19:00:00.126Z" } ] }, { "id": 30771, "name": "Flywheel AI", "slug": "flywheel-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/20c7285daed594e49818c41dd7e677796b8e4b61.png", "website": "https://useflywheel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Flywheel AI converts any existing excavators for contractors to enable remote ops to increase safety and productivity, and use robotics context dataset to train autonomous policies.", "one_liner": "Waymo for excavators", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1750156128, "tags": [ "Deep Learning", "Hardware", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/flywheel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/flywheel-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flywheel-company", "x_url": "https://x.com/flywheel_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/20c7285daed594e49818c41dd7e677796b8e4b61.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 367031, "full_name": "Jash Mota", "title": "Founder/CEO", "founder_bio": "building semi-autonomous heavy equipment", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jashmota/", "x_url": "https://x.com/jash_mota", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cf9f3041d7ae1817cb11e5af8709aed45ecff78.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92796, "title": "Flywheel AI: Waymo for excavators", "tagline": "Enable remote teleoperation in excavators to increase safety and productivity", "body": "Hey everyone! We’re[ Jash](https://linkedin.com/in/jashmota) and[ Mahimana](https://www.linkedin.com/in/mahimanabhatt/) - co-founders of Flywheel AI - we enable remote control for excavators on construction sites.\n\nWe do this by enabling remote teleoperation. We then use the teleoperated excavators to collect the datasets needed to automate the machines.\n\nhttps://youtu.be/Kpbor3M6Mr8\n\n**🚧Problem**\n\nConstruction industry has some troubling trends:\n\n* **1 million worker shortage** in the US alone\n* **1000+ deaths annually** from safety incidents (and rising)\n* **Hundreds of thousands in penalties** + multi-week shutdowns per incident\n* **40% operational downtime** due to blind spots and inefficiencies\n\nIt’s **Dull, Dirty, Dangerous**, dialed to the max!\n\nThe problem is global and getting worse as the workforce ages and recruitment plummets.\n\n**👷The Flywheel Solution**\n\n**🚜Retrofit**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/4e9829e3-a90f-4d93-b08f-d17cb961ea7f)\n\nWe engineered a new way to retrofit heavy equipment, which is machine-agnostic and compatible with pretty much any hydraulic equipment. These can be installed in few hours and don’t block manual operations.\n\n**🕹️Remote Teleop**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/cb9452e8-c8eb-4b0f-9a2f-37cfb58a1314)\n\nWe built a low-latency remote teleop + dataset collection platform with the ability to remotely turn on/off the machines and let supervisors take over at any time. This enables controlling the fleet even from a minimal setup of laptop and joysticks.\n\n**⚡Workflow Autonomy**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/a75da0c3-ee2b-4b86-9f6f-5108e7a5423b)\n\nWe use data from actual operations and robot learning to train models which does various tasks like dig and dump, trenching, grading and more. This will enable a single operator to manage more machines and sites at the same time.\n\n**We’re Flywheel AI**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/e752210f-530c-4dd4-9b25-475ea1137089)\n\nJash previously built remote teleop tool with companies like Accenture as users. Mahi built the data and ML pipeline at Motional which runs over 50K simulations everyday. Together we have built various robots and spent many hours on the sites in hard hats and safety shoes!\n\n**Our Ask**\n\nIf you or a construction contractor/sub-contractor you know struggles with site safety and operator performance,[ book a meeting](https://calendly.com/jash-mota/flywheel-sales) to learn more about our solution and installation process!\n\nCall us at 415 714 7580 or email at [contact@useflywheel.ai](mailto:contact@useflywheel.ai)", "url": "https://www.ycombinator.com/launches/O8i-flywheel-ai-waymo-for-excavators", "votes": 161, "created_at": "2025-08-06T22:34:27.016Z" } ] }, { "id": 30781, "name": "Duranium", "slug": "duranium", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2a84608596d6e85a1a64227a175491ef9496eb22.png", "website": "https://www.duranium.co/", "all_locations": "San Francisco, CA, USA", "long_description": "China and Russia control the world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally via co-production.\r\n\r\nCarbochlorination is the primary process for producing critical metals like titanium, hafnium, and zirconium, and was once the standard for magnesium. The problem: conventional carbochlorination relies on purchasing carbon feedstocks, wastes valuable byproducts, and is highly CO₂-intensive.\r\n\r\nDuranium changes this with a novel reactor that recycles CO₂ emissions back into feedstock (CO) while generating a valuable co-product (bleaching agents). This closed loop slashes emissions and delivers Chinese-level metal pricing without subsidies — unlocking the full potential of carbochlorination for U.S. critical mineral production.", "one_liner": "Reshoring critical metal production", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1757191317, "tags": [ "Manufacturing", "Advanced Materials", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/duranium", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/duranium.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/duraniumlabs/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2a84608596d6e85a1a64227a175491ef9496eb22.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4f169782511f31df122e36a7e40d55cfbfe2dda3.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2509424, "full_name": "Brenden Prins-McKinney", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Duranium, working to reshore critical metal production. Previously a consultant with McKinsey & Co. in D.C., where I advised the DoD on reshoring critical chemical production. Graduate of Stanford Law School where I was a Knight-Hennessy Scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brenden-prins-mckinney-96959a69/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af5542d9d05f59e1ba7fd4a89578786de67eb41e.jpg" }, { "user_id": 2570104, "full_name": "Berkley Noble", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Duranium, working to reshore critical metal production. My expertise lies in molten-salt electrolysis. I hold a a patent for an electrochemical metal cell and built the only U.S. pilot magnesium electrolyzer in the last 20+ years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/berkleynoble/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d7b8cdd1d6993ae48c6b620e0d011ff39d018a5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93706, "title": "Duranium — Reshoring critical metal production", "tagline": "Reshoring critical light-weight metal production (Ti, Mg, Al, Zr, Hf) — more profitably than any other method through modernized carbochlorination and co-production.", "body": "![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/cab46185-5d50-4822-bf45-873f52ae6571)\n\n**TL;DR** — **China and Russia control world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally. On track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices).**\n\nHi all, we’re Berkley and Brenden of Duranium, and we’re delivering American critical mineral independence with a light-weight metal production process that competes globally without subsidies. As brothers-in-law, we’re passionate about rebuilding the U.S. industrial base — not through taxes and subsidies, but through real technological innovation. Our mission is to help America reclaim its place as the world’s greatest builder of _tangible_ things.\n\n# ❌ The Problem\n\nMagnesium, titanium, aluminum, hafnium, and zirconium are all listed on the DOE’s Critical Minerals List, with magnesium ranked among the highest in both supply risk and strategic importance to U.S. energy security. _The U.S. has zero domestic magnesium production and no titanium sponge production — yet both are indispensable for fighter jets, missiles, satellites, rockets, and advanced aerospace systems._ \n\nChina and Russia control \\~97% of magnesium and \\~90% of titanium production (directly or indirectly). \n\nOn top of that, U.S. magnesium costs nearly 3x the global average, and legacy methods are CO₂-intensive and waste valuable byproducts.\n\n# ✨ Our Solution\n\nWe’ve modernized carbochlorination metallurgy (the primary methods for producing many of these critical metals) with a novel reactor and process that:\n\n* Creates a closed-loop system that profitably matches Chinese pricing — without subsidies — and slashes emissions\n* Recycles CO₂ emissions into CO feedstock\n* Generates a valuable co-product (bleaching agents)\n\nOthers are trying to reinvent lightweight metal production from scratch with approaches that are costly and dependent on government subsidies or green premiums to hit profitability. Our approach is different: we harness the laws of thermodynamics instead of fighting them, co-producing valuable outputs that make the economics best-in-class.\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/38fd63f0-e5a7-4f91-88cf-ad06c8b7e01a)\n\n# 🏆 What we’ve achieved so far and where we’re headed\n\n* We’ve proven the process at benchtop scale, producing magnesium, bleaching agents, and converting CO₂ produced by carbochlorination into CO\n* We are now scaling with the build of a pilot facility to be operational by June 2026\n* We’re on track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices)\n\n# 👥 Our Team\n\nBerkley, CTO — A leading American expert in magnesium production; holds a patent for an electrochemical metal cell and built the _only_ U.S. pilot magnesium electrolyzer in the last 20+ years. Brings unmatched technical depth in lightweight metal production\n\nBrenden, CEO — Former McKinsey D.C. consultant, where he advised the DoD on reshoring critical chemical production and spent 1 year with the Defense Logistics Agency (DLA). Ex-Goldman TMT investment banker, Stanford Law graduate and Knight-Hennessy Scholar\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/babe8628-8537-44c5-aa1a-daecb483c077)\n\n## 🙏 Asks\n\nJoin our team! We’re looking for engineers with experience in high-temperature or corrosive reactors. If that’s you — or someone you know — and you want to help build the future of lightweight metal production, get in touch!\n\n[team@duranium.co](mailto:team@duranium.co)", "url": "https://www.ycombinator.com/launches/ONO-duranium-reshoring-critical-metal-production", "votes": 23, "created_at": "2025-09-09T03:29:52.411Z" } ] }, { "id": 30818, "name": "Nox Metals", "slug": "nox-metals", "former_names": [ "NOX METALS", "NOX METAL" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png", "website": "https://noxmetals.co/", "all_locations": "Detroit, MI, USA", "long_description": "Nox Metals is an AI-powered metals supplier powering modern American manufacturing at scale. We are building automated factories that turn raw metal into production-ready material faster, cheaper, and more reliably than legacy service centers.", "one_liner": "Supplying America's Industrial Base", "team_size": 52, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1751751667, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Factories waste time quoting, sourcing, and cutting aluminum blocks. It's slow, manual, and adds unnecessary overhead. This inefficiency compounds across thousands of jobs, dragging down margins and throughput. We started Nox to automate this layer and unlock speed and scale for modern manufacturing." } ], "url": "https://www.ycombinator.com/companies/nox-metals", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nox-metals.json", "year_founded": 2025, "city": "Detroit", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nox-metals-inc/", "x_url": "https://x.com/noxmetals", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6439dfa3b9d8de9b2146e20914d41db9b7b08f59.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1489130, "full_name": "Zane Hengsperger", "title": "Founder/CEO", "founder_bio": "Supplying factories across America with the fastest and lowest-cost metals.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zanehh/", "x_url": "https://x.com/zanehengsperger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca5aca1125d8f1d8d5a8cbe1524b3c18afb9e8cb.jpg" } ], "jobs": [ { "id": 105416, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tPQM8Q3-chief-of-staff", "location": "Detroit, MI, US / Los Angeles, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - 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$200K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114993, "title": "Manufacturing Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mKXeZyX-manufacturing-operations-associate", "location": "Detroit, MI, US / Los Angeles, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80 - $120K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115813, "title": "Social Media Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/z0TyIpq-social-media-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.5K - $52.5K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115814, "title": "ML Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ztSQcah-ml-engineer", "location": "Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115815, "title": "Marketing Intern", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vgy6xq3-marketing-intern", "location": "Los Angeles / Detroit", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$39.1K - $43.2K", "equity_range": "0.00% - 0.03%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115816, "title": "Recruiter", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/0TsVTWN-recruiter", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$52.3K - $57.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115817, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/bDoZ7lp-software-engineer", "location": "Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$154K - $170K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115818, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/7gwRK4c-customer-success-manager", "location": "Detroit", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$71.3K - $78.8K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115819, "title": "Inside Sales", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/6PLQ5fz-inside-sales", "location": "Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$71.3K - $78.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115820, "title": "Local Delivery Driver", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/9E0KMma-local-delivery-driver", "location": "Detroit / Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.5K - $52.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115821, "title": "Material Handler (All Shifts)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/85BjrW7-material-handler-all-shifts", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115822, "title": "Factory Technician (All Shifts)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/8GQRzy8-factory-technician-all-shifts", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115823, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/5XKeNrV-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$76K - $84K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115824, "title": "Recruiting Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mbSfJsO-recruiting-associate", "location": "Detroit / Los Angeles", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$52.3K - $57.8K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115825, "title": "Production Supervisor (Multiple Shifts Available)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mHl5hkY-production-supervisor-multiple-shifts-available", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75.1K - $83K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115826, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/FHK02T5-machine-learning-engineer", "location": "Los Angeles / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115827, "title": "Production Supervisor", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mBmk5Q2-production-supervisor", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75.1K - $83K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115828, "title": "Video Editor / Motion Designer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CDXU2aB-video-editor-motion-designer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$61.8K - $68.3K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115829, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vGqayKm-head-of-engineering", "location": "Los Angeles", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$188K - $207K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115830, "title": "Manufacturing Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/RfPuIqI-manufacturing-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$115K - $127K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115831, "title": "Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/qyUf4GG-infrastructure-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$111K - $123K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115832, "title": "Customer & Commercial Product Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/zDQVVxF-customer-commercial-product-manager", "location": "Los Angeles", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$124K - $137K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115833, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tE6KoQ2-chief-of-staff", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$149K - $165K", "equity_range": "0.00% - 0.10%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115834, "title": "Associate Supply Chain Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/G7v3kr7-associate-supply-chain-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$57K - $63K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115835, "title": "Material Handler / Shipping Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/juVKRcx-material-handler-shipping-associate", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115836, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/HLY8ADP-account-executive", "location": "Los Angeles / Detroit / San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$81.3K - $89.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115837, "title": "Weekend Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CI9z0fz-weekend-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115838, "title": "Operations Trainer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/LJQ2Tmi-operations-trainer", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$69.2K - $76.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115839, "title": "Cinematographer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/o8OsliJ-cinematographer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$81.5K - $90.1K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115840, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/JJTNXuD-business-development-representative", "location": "Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$82.8K - $91.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115841, "title": "Operations Systems Product Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Iz35FOX-operations-systems-product-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115842, "title": "Plant Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/j3OhDNV-plant-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$132K - $146K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115843, "title": "Assistant General Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DDS033t-assistant-general-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$76K - $84K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115844, "title": "Director of Manufacturing", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ewqJoHE-director-of-manufacturing", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$129K - $142K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115845, "title": "Accounts Receivable / Accounts Payable Specialist", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mi3Hv4i-accounts-receivable-accounts-payable-specialist", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$53.8K - $59.4K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115846, "title": "Saw Operator", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/oyQ7YQw-saw-operator", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115847, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Y4KoiT9-full-stack-engineer", "location": "Los Angeles / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$154K - $170K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115848, "title": "Executive Assistant", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/kJreaNw-executive-assistant", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$77.5K - $85.7K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115849, "title": "Senior Finance Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/yRxyyOb-senior-finance-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$177K - $196K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115851, "title": "People Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DQoH7Gg-people-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$42.8K - $47.3K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115852, "title": "Office Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/OoRm3au-office-manager", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$68K - $75.2K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "NOX METALS Raises an $11.5M Seed Round to Reindustrialize America", "url": "https://noxmetals.co/blog/nox-metals-seed-round", "date": "Jun 14, 2026" } ], "launches": [ { "id": 92971, "title": "NOX METALS: The modern metals supplier.", "tagline": "Modern metals factories to supply America's industrial base. ", "body": "**NOX METALS: The Factory is the Product**\\\nVertically integrated, automated metals factories built to move at software speed.\n\n**TL;DR:** Nox Metals is building the metals processing platform of the future. Our vertically integrated factories run on software and automation to deliver lightning-fast, low-cost metal to our customers. Our goal: power the next industrial era by becoming the fastest, most advanced supplier to America’s industrial base.\n\nLaunch Video: https://www.youtube.com/watch?v=X6qMjj4RMBQ\n\n## 🛑 The Problem\n\nEvery part, from aerospace components to automotive tooling, starts with raw metal. But the supply chain that delivers it hasn’t changed in decades:\n\n* **3–5 days** to get a quote from a broker.\n* **Multiple markups** between the mill and your shop.\n* **Slow fulfillment** with no visibility once you order.\n* **High overhead** baked into every part because of manual, fragmented workflows.\n\nThis slows down factories, raises costs, and makes American manufacturing less competitive.\n\n## ⚡ The Nox Metals Model\n\nWe don’t just _use_ factories, we build them to be the product.\n\n* **Orders in → Machines moving:** Your quote instantly becomes a job on our automated cutting line.\n* **Software + Automation:** Robots pick, cut, package, and label… removing human bottlenecks.\n* **Lower Overhead:** No layers of brokers, reps, and schedulers.\n* **Faster for You:** Shorter lead times, real-time tracking, and predictable delivery.\n\nLower overhead means better prices. Faster cycle times mean more throughput for your factory.\n\n## 📈 Why It Works for Customers\n\n* **Time:** Place orders in minutes, get delivery in days.\n* **Cost:** Reduced overhead on our end means better pricing for you.\n* **Certainty:** Every order tracked from quote to delivery.\n\n## 🛠 Who We Serve\n\n* Job Shops\n* OEMs\n* Tier 1/2/3 Suppliers\n* Aerospace, Defense, and Industrial Manufacturers\n\n## 💬 Ask\n\nWe’re live with aluminum plate and block today, expanding into steel, tube, and sheet next. If you run a factory and need raw metal faster and cheaper, let’s talk.\n\n📩 zane@noxmetals.co\\\n🌐 [noxmetals.co](http://noxmetals.co)\n\nWhen your factory needs metal, ours is already working.", "url": "https://www.ycombinator.com/launches/OBX-nox-metals-the-modern-metals-supplier", "votes": 33, "created_at": "2025-08-13T19:15:21.779Z" } ] }, { "id": 30821, "name": "Efference", "slug": "efference", "former_names": [ "Remnant Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.png", "website": "https://efference.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762259214, "tags": [ "Robotics", "Computer Vision" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/efference", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/efference.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/EfferenceAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1945409, "full_name": "Gianluca Bencomo", "title": "Founder/CEO", "founder_bio": "-", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gianluca-bencomo-326469133", "x_url": "https://x.com/gianlucabencomo/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abf3b37c947d65d07ff29aff6adf54e459eb04ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95175, "title": "Efference - Helping robots see like humans do", "tagline": "Efference is building the most intelligent robotic camera on the market -- at half the cost. ", "body": "![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/8214e17c-76b2-4c77-9b83-f11af13ff298)\n\nHey YC, I’m Gianluca. I’m building robotic cameras (stereo cameras) that treat vision as a software problem, not a hardware problem – just like humans do.\\\n\\\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\n[**https://youtu.be/0v0p2t3y4fI**](https://youtu.be/0v0p2t3y4fI)\n\nMany robotics founders that I talk to are frustrated with current stereo cameras. They are expensive, require calibration, and still produce unreliable depth measurements despite their costs. Vision shouldn’t be an additional bottleneck when training robotic policies is already hard enough.\n\nOur insight is that humans don’t have precise sensors: our eyes are noisy and imprecise but we run extremely sophisticated algorithms on top of them. Robotics already embraced this philosophy for arms (_cheap hardware + great algorithms_ → \\[Zhao et al., 2023\\]). We’re applying it to cameras by developing better algorithms.\n\nWhat we built:\n\n* A 3D perception model that combines stereo triangulation + learned priors about objects and environments.\n* It runs in real time (unlike current neural depth approaches).\n* We are distilling the model into our own hardware and shipping model wrappers for Realsense/ZED cameras so you can run these cameras better.\n\nCheck out the designs (going into production soon):\n\n[**https://www.youtube.com/watch?v=oOmf4k2ZwaY**](https://www.youtube.com/watch?v=oOmf4k2ZwaY)\n\n**Does it work?**\n\nSelf-Driving: [**https://www.youtube.com/watch?v=0f058JAk64A**](https://www.youtube.com/watch?v=0f058JAk64A)\n\nRobotic Manipulation (via Functional Manipulation Benchmark): [**https://www.youtube.com/watch?v=GyV12gqGOMY**](https://www.youtube.com/watch?v=GyV12gqGOMY)\n\nAnd many more demos coming to the YouTube channel: [https://www.youtube.com/@Efference](https://www.youtube.com/@Efference%5C)\n\n**Why do we need this?**\n\nConverting a vehicle to full autonomy can cost upwards of **$100,000**. The economics are terrible: the sensor stack dominates lifetime cost, keeping cost-per-mile high and slowing deployment. A stereo-vision stack like ours cuts that cost by **10–100×**. Lower integration cost → cheaper replacements → larger fleets → autonomy that scales. We know we can drive a car using a stereo camera because that is what humans use. It’s just a matter of getting the camera to work as well as the one humans have.\n\nThe same dynamic applies to humanoids, perhaps at an even greater scale. Companies like Unitree ship tens of thousands of robots every year, all with stereo cameras, and consumers often complain about quality. We’re building a camera that is both **affordable and usable**, so teams can actually build with it. As humanoid production scales to millions of units per year, we hope to be the camera that scales with it.\n\nIn urban drone environments, GPS fails. Reliable RGB-D depth enables SLAM, safe navigation, and collision avoidance; critical for companies like Skydio operating in urban valleys. Again, drones are another vertical that requires thousands of cameras per year that are cheap and effective.\\\n\\\n**Additional Background**\n\nAny two-dimensional image is consistent with an infinite number of possible 3D worlds. “Seeing” is not just recording sensory input but resolving ambiguity; selecting the _most probable_ world given the available evidence **\\[Born & Bencomo, 2021\\]**.\n\nHumans and nearly every other mammal have evolved the same solution to this problem over the past 500 million years of evolution: stereo triangulation + data-driven inference. We integrate every available depth cue – shadows, perspective, occlusions, and much more – along with what we know about objects and the environment to accurately represent 3D scenes and act accordingly.\n\nRobots do not do this, but they need to.\\\n\\\n**Team**\n\n![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/2474fb24-fae7-4604-a549-2a875fad6452)\n\nI spent the past four years at Princeton (on-leave from PhD) studying foundational topics in machine learning and neuroscience. I funded my research by writing two successful NSF grants to build biologically-inspired vision models based on the **fruit fly connectome** where the general research direction for myself and certainly my collaborators was the question of **“how do we make this fruit fly live inside a computer simulation?”**\n\nPrior to Princeton, I spent two years at Harvard Medical School studying visual decision-making in primate models and publishing influential theoretical work on **dopamine’s role in schizophrenia and its effects on visual perception**. I did my undergraduate degree in Biochemistry and got to do some cool non-vision work at the NASA Jet Propulsion Laboratory, figuring out a **new way of converting CO2 into O2 on Mars** that recycled water and did not require heat (e.g. MOXIE).\n\nGenerally, I like to work on really hard problems.\n\n**The Ask**\n\nIf you’re a roboticist, I’d love to learn what vision requirements matter most to you. If you know teams in autonomous vehicles, drones, or humanoid robotics, and believe this product is cool, sharing / intros would mean a lot.\n\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\nThank you — Gianluca.\n\n**\\[Born & Bencomo, 2021\\] [https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian](https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian)**\n\n**\\[Zhao et. al., 2023\\] [https://arxiv.org/abs/2304.13705](https://arxiv.org/abs/2304.13705)**", "url": "https://www.ycombinator.com/launches/Ol5-efference-helping-robots-see-like-humans-do", "votes": 122, "created_at": "2025-11-04T22:53:53.320Z" } ] }, { "id": 30895, "name": "Allus AI", "slug": "allus-ai", "former_names": [ "Allus AI Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "website": "https://allus.ai", "all_locations": "Atlanta, GA, USA", "long_description": "Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time. ", "one_liner": "Transforming manufacturing with our next-gen Vision Foundation Model", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761108820, "tags": [ "Machine Learning", "SaaS", "Computer Vision", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/allus-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/allus-ai.json", "year_founded": 2025, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/allus-ai/", "x_url": "https://x.com/allus_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/19ed8bfd28856edefbda0d3ee4d4d3017054ed8a.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02b1652b4ead3ef7bd979f7db3e7461b111e93bf.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1667481, "full_name": "Kai Cui", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Allus AI. BS + MS in CS from Georgia Tech. Building vision foundation model to transform manufacturing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaixiang-cui", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d012cfddf81fb9af30743cc5270cb84579450398.jpg" }, { "user_id": 2667730, "full_name": "Zhisen An", "title": "Founder/COO", "founder_bio": "Co-Founder @ Allus AI Inc. | MS CS @ GaTech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhisenan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d36b723641b04f1a88fef304237446298bdc8919.jpg" }, { "user_id": 2673772, "full_name": "Shijie Wang", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Allus AI | CS @ Georgia Tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shijiew/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26e530b95b0469b4c70162d6c284bcf3d4df99b7.jpg" } ], "jobs": [ { "id": 92048, "title": "Founding AI Agent Engineer", "url": "https://www.ycombinator.com/companies/allus-ai/jobs/AcYMVC9-founding-ai-agent-engineer", "location": "Cupertino, CA, US / Atlanta, GA, US / Remote (CA, US; GA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.30% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Node.js", "Python", "React", "Redis", "Rust", "TypeScript", "SQL", "Docker", "Software Architecture" ] } ], "news": [], "launches": [ { "id": 95347, "title": "Allus AI — Vision Foundation Model for Manufacturing", "tagline": "Bringing real intelligence to factories", "body": "Hi YC,\n\nThis is [Kai](https://bookface.ycombinator.com/user/1667481), [Shijie](https://bookface.ycombinator.com/user/2673772), and [Jason](https://bookface.ycombinator.com/user/2667730), cofounders of Allus AI.\n\nWe’re building a vision foundation model for manufacturing.\n\n**TL;DR**: Traditional manufacturing vision systems are slow, complex, and expensive. Allus delivers a million-dollar vision solution in minutes.\n\nhttps://www.youtube.com/watch?v=pNV7Ekyzfm0\n\n**A Vision Foundation Model for Manufacturing**\n\nAllus is a 1B parameter vision foundation model trained on over 1.5 billion industrial, robotics, and manufacturing data pairs collected over five years. It achieves state-of-the-art accuracy in defect detection (> 99.95%) and process monitoring (> 99.2%).\n\nAllus understands manufacturing the same way ChatGPT understands language. The dataset we used to train Allus is more than 100x larger than comparable industrial datasets, giving Allus a strong baseline familiarity with the entire factory ecosystem, including machines, people, and processes.\n\nToday 95% of manufacturers still rely on manual inspection to detect defects and monitor process compliance on the factory floor. This work can be automated with computer vision, but these solutions are domain-specific, take months to implement and cost millions of dollars. \n\nWith our implementation agent, Allus can be trained to handle specific use cases in only a few minutes using a small number of reference examples. \n\nIn the last three months, we’ve deployed it on production lines run by five global fortune 500 manufacturers, where we’ve been able to improve defect detection accuracy in some cases by more than 100x.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/c1a959c6-45ec-441b-b904-0ef212f17f53)\n\nWe combine cutting-edge AI with challenges that have troubled manufacturing for over a century. Kai, Shijie, and Jason began exploring how AI could empower industry while studying at Georgia Tech. Kai comes from a family deeply rooted in manufacturing and grew up in factories, managing production for IPhone back panel at the age of 18. Shijie previously worked as an LLM scientist at NVIDIA Lab, where he gained firsthand insight into the pain points of manufacturing. Jason has always operated on the front lines of industrial enterprises and developed universal solutions for robotics companies.\n\n**Ask**\n\nWe’re working with manufacturers across the globe, from electronics and automotive to food & beverage, FMCG, and high-performance materials.\n\nIf you want to bring intelligence to your factory, talk to us!\n\n👉 [Allus.ai](http://Allus.ai)\n\n📧 [kai@allus.ai](mailto:kai@allus.ai)\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/802e4649-e04c-4d8f-beec-a357eef0f593)\n\n", "url": "https://www.ycombinator.com/launches/Onr-allus-ai-vision-foundation-model-for-manufacturing", "votes": 282, "created_at": "2025-11-10T07:02:52.620Z" } ] }, { "id": 30904, "name": "Tensr", "slug": "tensr", "former_names": [ "Core", "Tensr", "Core" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.png", "website": "https://tensr.com/", "all_locations": "Emeryville, CA, USA", "long_description": "Robotic factories that build robotics in the US. Currently operating a 12,000 sqft factory in the Bay Area and actively manufacturing customer orders for some of the largest robotics companies in the US and the International Space Station.\r\n\r\nWe’re a group of Berkeley graduate robotics researchers who previously won a full scale autonomous IndyCar competition at 160mph.", "one_liner": "Robotic factories that build robots", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1763065446, "tags": [ "Deep Learning", "Hardware", "Robotics", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tensr", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tensr.json", "year_founded": 2025, "city": "Emeryville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tensrinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2763027, "full_name": "Eric Berndt", "title": "Founder/CEO", "founder_bio": "Robotic factories that build robots in the US. Prev Robotics researcher @ UC Berkeley where I raced autonomous Indy500 cars at 160mph", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ekberndt/", "x_url": "https://x.com/ekberndt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8136fef854af650d0b22ac083d6585e09121a8ed.jpg" }, { "user_id": 916548, "full_name": "Adith Sundram", "title": "Founder/CTO", "founder_bio": "Founder @ Tensr. Robotics, ML and Controls @ UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adithsundram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd20d8f9a84f4b33da6805740257605ff2175494.jpg" }, { "user_id": 2763062, "full_name": "C.K. Wolfe", "title": "Founder", "founder_bio": "Founder, Tensr. CS PhD (AI, Robotics), UC Berkeley. Former Technical Program Manager, UC Berkeley robotics lab under Berkeley AI Research (BAIR). Secured $17M+ in DARPA and industry sponsorship across Stanford and UC Berkeley via AI Racing Tech (2024). Team Manager during top-ranked U.S. league season. Editor-in-Chief of UC Berkeley BAIR’s official AI research publication (BAIR Blog).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ckwolfe/", "x_url": "https://x.com/ckwolfeofficial", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9656e4b1ee0b0c58c5a7df8df5bcb18614685e68.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112228, "title": "Tensr - Robotic Factories that Build Robots from Humanoids to Robots for the International Space Station", "tagline": "Robotic Factories that Build Robots", "body": "Robotic factories building robots. Today we have a 12,000 sqft factory in the Bay Area manufacturing everything from full humanoids to robots for the International Space Station.\n\nOur thesis: Revitalizing domestic manufacturing means driving costs down through automation. We are building an autonomous factory that is able to autonomously process a new order end to end from prototyping to large batch production. That means supply chain management, design for manufacturing, industrial machine retooling, robotic adaptation, quality inspection, packaging, and logistics all automated. Goal: Create a factory that can autonomously go from placed customer order to completed unit scale manufacturing run in 24 hours.\n\nWe are currently manufacturing production runs from top labs, full humanoids, and even have a partnership to manufacture robotics for the International Space Station. We've also built supply chain relationships in electronics, actuators, SMT, computing, pneumatics, and raw material suppliers.\n\nA snippet of some of our machines in the factory:\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/777065e0-e83d-4501-8799-8c490e883851)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/30775e59-e171-4949-b959-3dc06ffa5322)\n\n## **Manufacturing at the Core**\n\nThis isn't just a robotic manipulation company. Its a manufacturing company.\n\nInternally we have pipelines autonomous building large databases of actuators, and raw tracking and trying to predict what items will need to order now to meet our next day targets.\n\n## **The Harness**\n\nThe entire factory is a data harness we can \"backprop\" learnings through from errors in the customer designs, failed supply chain prediction, slow retoolings, to inaccurate robotic manipulation. Our core belief is that robotic machine learning should not rely on human data to scale but instead learn to improve from its own mistakes in the real world in real time. This closes the manufacturing data gap that currently limits large-scale factory automation.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/2baf7c74-80e3-49bb-a6bf-712ce0fb30fc)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/4ed0acb3-e1bc-4210-b4d0-b3f3614bc8da)\n\n## **Any Robot Anywhere**\n\nOur thesis is simple. We should be able to make an robot for any environment whether that be a humanoid for the factory floor or a robot for Low Earth Orbit. We currently have a partnership with the ISS to manufacture a robots for the space station.\n\nNASA Houston, Johnson Space Center\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/e4558cfa-cf98-447a-acaf-7e83650e73a7)\n\n## **Team**\n\nAt heart we're a team of Roboticists. Before Tensr we were the leads for a Berkeley lab's autonomous racing team where we raced autonomous full-scale IndyCars at over 160mph as the ML, Sim, and Robotic Controls leads.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/c3772faa-f515-4ee0-b32e-2e586b3ae8e3)\n\nWe previously worked in industrial automation, aerospace manufacturing, medical device manufacturing, Berkeley AI Research (BAIR), physics simulation, and secured $17M+ in DARPA / industry sponsorship for UC Berkeley / Stanford research.\n\nOur founding engineers range from Berkeley Robotics PhD, ex-NASA, to 10+ years of manufacturing experience.\n\n## A Better World\n\nOn a personal note, not only do I believe we have the opportunity to build a great business but also to make a positive impact on the world. Automate away environmentally harmful materials, eliminate waste 0.1% at a time, and drive steady-state COGS toward only the fundamental inputs (materials and electricity), unlocking strong margins while collapsing the price of everyday goods / cost of living.\n\nLets build a better world :)\n\nA full view of our vision here:[ tensr.com/whitepaper](https://www.tensr.com/whitepaper)", "url": "https://www.ycombinator.com/launches/TC8-tensr-robotic-factories-that-build-robots-from-humanoids-to-robots-for-the-international-space-station", "votes": 6, "created_at": "2026-08-25T21:00:00.441Z" }, { "id": 95506, "title": "Tensr: Building Autonomous Robotic Factories", "tagline": "Building fully autonomous robotic factories that make scaling hardware as effortless as scaling on AWS", "body": "We're building fully autonomous robotics factories at Tensr to create the AWS of manufacturing. Our factories will receive on-demand orders from customers and spin up robots to operate industrial machinery, package, and ship the finished product all in 24 hours.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/704a7eb3-1ffc-4fc3-b806-32f3fd256418)\n\n[**https://youtu.be/HLijIfoDfpA**](https://youtu.be/HLijIfoDfpA)\n\n**Problem**\n\nMoving fast in manufacturing today doesn't exist. Iterating designs for manufacturing takes months of back and forth getting samples from China and pre-ordering manufacturing capacity several months before the holiday rush, only then to wait several weeks for shipping praying there isn't a strike at the docks. At the same time we see the complete collapse of America industrial capacity as American workers and experience leave the field and contracts are sent overseas.\n\n**Solution**\n\nWith the robotics revolution, for the first time it is possible to fully reimagine the factory floor - moving from rigid lines to modular stations, even in high mix settings. However, we believe that automating manufacturing is more than just deploying a foundation model or a humanoid into an existing factory.\n\nFactories need to be designed from the ground up _around_ robots, not the other way around.\n\nOver the past few weeks we turned our living room into an autonomous factory floor, with stations for CNC, moving stock, and a focus on assembly. After demo day, we'll expand to a full manufacturing facility, and start supporting batch orders of all sizes from other companies throughout the country. Currently we also are in talks to provide our own assembly models to other distributors.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/706f70f4-47a7-4466-8281-5cf6d081da43)\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/e6420b31-3e74-49d3-b751-c901c5379665)\n\n**Team**\n\nWe're a battle-hardened team of UC Berkeley graduate robotics researchers (from Berkeley AI Research (BAIR)) who met in a lab, previously worked on and managed multiple DARPA contracts and led an autonomous IndyCar team where we raced full scale autonomous Indycars at 160mph (250kmh) as the Machine Learning, Simulation/Team Manager, and Robotics Control leads respectively.\n\n\\- [Eric Berndt](https://x.com/ekberndt) - MS/BS EE/CS, UC Berkeley, CoFounder + CEO\n\n\\- [Adith Sundram](https://www.linkedin.com/in/adithsundram/) - MS/BS ME, UC Berkeley, CoFounder + CTO\n\n\\- [C.K. Wolfe](https://x.com/ckwolfeofficial) - Current PhD AI/Robotics, UC Berkeley, CoFounder\n\nIn addition, our team brings direct operational experience from Rockwell Automation (industrial automation), aerospace manufacturing, and FDA-regulated medical-device production\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/f907544d-cb70-45d2-b043-708a6739e40c)\n\n**Our Ask**\n\nWe're offering early manufacturing / prototyping pilots for hardware companies of all sizes as the new year starts and we open our first facility. If you or anyone you know fits in this bucket, reach out to [**founders@tensr.com**](mailto:founders@tensr.com)!\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763062/4e53c620-4423-4e57-b0cf-a25b750d0539)\n\n", "url": "https://www.ycombinator.com/launches/OqQ-tensr-building-autonomous-robotic-factories", "votes": 365, "created_at": "2025-11-14T01:26:45.320Z" } ] }, { "id": 30928, "name": "Darwin", "slug": "darwin", "former_names": [ "Thesis Labs", "Thesis", "Darwin", "Thesis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "website": "https://darwinrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Darwin Robotics creates general-purpose robots to build and maintain the machines civilization runs on.\r\n\r\nWe're starting with AI infrastructure, where skilled technicians perform a long tail of physical work across assembly, installation, commissioning, and maintenance. Our robots learn new tasks from demonstrations rather than being explicitly programmed for each workflow.\r\n\r\nFirst deployments are planned for early 2027.", "one_liner": "Robots to build civilization", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762476616, "tags": [ "Hard Tech", "Machine Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We are brothers and have been building things together our whole lives. We grew up in the Caribbean with our mom, obsessed with math and computers. Sergio taught himself calculus from MIT OpenCourseWare at 12, published mathematics as a teenager, and later worked on AI and robotics at Stanford, Nvidia, and Google X. Luigi studied math and CS at Columbia, then co-founded a payments company where he scaled engineering from zero to billions in transaction volume.\r\n\r\nAs kids, we built worlds in Minecraft. Now, we’re building robots." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We sit at the dawn of a new era in civilization. AI is beginning to solve problems across science and mathematics that were previously impenetrable. Yet this intelligence is still largely confined to the screen.\r\n\r\nWe believe the next frontier is physical. Our goal is embodied artificial general intelligence.\r\n\r\nWhen we succeed, billions of intelligent robots will work alongside humans, performing useful work and expanding what humanity is capable of." } ], "url": "https://www.ycombinator.com/companies/darwin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/darwin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/darwin-robotics-inc", "x_url": "https://x.com/darwin_robotics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Darwin-Robotics-Inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/415cd09f20efd72acec243c4e7b73ccb3b01cd35.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 455353, "full_name": "Sergio Charles", "title": "Founder/CEO", "founder_bio": "Robots to build civilization. Prev: AI R&D at Google X, NVIDIA, and Stanford AI Lab, working with Chelsea Finn on autonomous RL for robotics and Andrew Ng on computer vision. Stanford B.S. Math & CS, M.S. Stats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergio-charles-5a8052134/", "x_url": "https://x.com/eigentopology", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba455346463b0d6acae18a8bcd3d2bba294bfdb5.jpg" }, { "user_id": 1021038, "full_name": "Luigi Charles", "title": "Founder", "founder_bio": "Building Westworld. Previously founded a fintech payments startup, scaling volume from zero to billions. Columbia CS & Math.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luigicharles", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca6e645d2ffabef7f901b4d6e1aec82d02f81657.jpg" } ], "jobs": [ { "id": 96229, "title": "Member of Technical Staff, AI & Robotics", "url": "https://www.ycombinator.com/companies/darwin/jobs/R8xvEoc-member-of-technical-staff-ai-robotics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $170K", "equity_range": "0.75% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Git", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)", "CUDA", "Microcontrollers", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 95309, "title": "δ Thesis: Building the frontier of AI discovery", "tagline": "Making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.", "body": "Thesis is an applied AI lab accelerating the frontier of AI discovery.\n\nWe're making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.\n\n**Mission**\n\nOur mission is to make state-of-the-art AI discovery 10x faster and 10x cheaper. The big labs are racing to get there, but their need to productize and turn a profit has already weighed them down. Thesis embraces rapid experimentation and novel fundamental research. Our singular focus, outcome-driven mindset, and early results give us confidence that we can get there first.\n\n**Results**\n\nThesis is state-of-the-art on OpenAI’s Machine Learning Engineering benchmark ([MLE-Bench](https://github.com/openai/mle-bench?tab=readme-ov-file#mle-bench)).\n\nMLE-Bench tests how well AI systems can train ML models autonomously, a first step toward self-improving systems. We achieved this result in the record time of 1 month and with only $10k in compute. Agents will get you far, but not far enough. Our methods mix old school with new, and have already outperformed teams of researchers at Microsoft, Google, Meta, and Baidu.\n\n![uploaded image](/media/?type=post&id=95309&key=user_uploads/455353/310c8083-1512-40c3-8e31-c1cc941f3634)\n\n**Team**\n\nLuigi and Sergio are brothers. Back in 2021, Sergio [wrote about a future where AI could create its own algorithm](https://cs229.stanford.edu/proj2021spr/report2/82285254.pdf)s. With today's foundation models, that future is suddenly within reach.\n\nSergio worked on AI R&D at Google X, Nvidia, and Stanford’s AI Lab (SAIL). He has published work at NeurIPS and ICML, and has worked with Chelsea Finn and Andrew Ng.\n\nLuigi built Sphere, a fintech company that processes billions of dollars every year in global cross-border payments. Sphere was recently valued at $250 M+ in its Series A round.\n\n**10 Year Vision**\n\nThe holy grail of AI is building self-improving systems that, guided by human creativity, enable breakthroughs and new paradigms achieving state-of-the-art results under resource constraints.\n\nIn the limit, our engine will expand beyond ML to every domain of science, from computational biology, to theoretical mathematics and physics. Thesis will autonomously discover new knowledge and become the driving force behind humanity’s scientific progress.\n\n**Our Ask**\n\nWe collaborate with leading institutions, startups, and independent researchers around the world. If you’re interested in what we’re building, please get in touch: \\[[ask@thesislabs.ai](mailto:ask@thesislabs.ai)\\](mailto:[ask@thesislabs.ai](mailto:ask@thesislabs.ai))", "url": "https://www.ycombinator.com/launches/OnF-thesis-building-the-frontier-of-ai-discovery", "votes": 232, "created_at": "2025-11-11T16:40:14.609Z" } ] }, { "id": 30930, "name": "Cortex AI", "slug": "cortex-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.png", "website": "https://cortexrobot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cortex AI builds the world’s most diverse and large-scale real-world workplace robot & egocentric dataset — where the physical world becomes the next training and evaluation set for embodied AI.\r\n\r\nWe power frontier labs developing robotics foundation models and general-purpose robots by providing the data they need:\r\n1️⃣ Egocentric Data — real-workplace human video with hand/body pose, depth, and subtask labels.\r\n2️⃣ Robot Data — trajectories collected from manipulators and humanoids in real industry settings.\r\n3️⃣ Human-in-the-Loop Rollouts & Evals — real-world deployments with remote operators who recover robots when they fail, capturing data that feeds back into training and continuously improves models.\r\n\r\nAdditionally, through the Cortex Marketplace, workplaces get paid to host data-collection and evaluation sessions, while labs access the in-the-wild data that truly matters. This draws on Lucas’s previous experience as co-founder of Carousell, a C2C marketplace that scaled to a $1B+ valuation.", "one_liner": "Large-scale real-world robot & human data for embodied AI", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1760045430, "tags": [ "Reinforcement Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cortex-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/cortex-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cortexairobot", "x_url": "https://x.com/cortexairobot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cortexairobot", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 53734, "full_name": "Lucas Ngoo", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Cortex AI. We're building the world's most diverse real-world, real-workplace, and industry-scale egocentric + robot dataset. Prior to Cortex AI, Lucas was the co-founder and CTO of Carousell (valued at $1B+).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasngoo", "x_url": "https://x.com/lucasngoo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b1f0f258b2fb62b1c7c32ca14e38ec0350b7ff4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95318, "title": "🦾 Cortex AI — Large-Scale Real-World Data for General-Purpose Robotics", "tagline": "Turning the real physical world into the next dataset for general-purpose robotics.", "body": "We’re building the world’s most diverse _real-world, real-workplace_ egocentric + robot dataset — where the **real physical world itself** becomes the next training and eval set for embodied AI.\\\n\\\n🌍 **The Problem**\\\nMost robotics datasets today are captured in lab environments or simulated settings — far removed from the **real physical world** where robots actually need to operate.\\\n\\\nThese datasets helped build the foundation models we have today, but the **next phase** of embodied AI needs to learn directly from the real world — from the noise, diversity, and complexity of real workplaces.\\\n\\\n🤖 **The Solution**\\\n\\\nFrontier labs use **Cortex AI** through 3 stages:\\\n1️⃣ **Get real-world egocentric data** → for world model + robotics foundation model pretraining\\\n2️⃣ **Collect real robot data** in real workplaces\\\n3️⃣ **Roll out policies** across real-world environments → the best evals happen in the real world, with our operators providing human-in-the-loop support to capture recovery data\\\n\\\nhttps://youtu.be/HD-weWSzy4Y\n\n\\\n🏭 **Cortex Marketplace**\\\nWe’re also launching the **Cortex Marketplace**, where _real workplaces get paid_ to host egocentric-capture and robot-teleop sessions — fueling a scalable pipeline of high-quality, real-world robotics data.\\\n\\\n👥 **The Team**\\\nPrior to Cortex AI, **Lucas Ngoo** co-founded and served as CTO of Carousell, scaling it from an idea into a $1B+ valuation marketplace used across Asia.\\\n\\\n🙏 **Our Ask**\\\nIf you work with or know teams at **frontier robotics labs** (humanoid companies, robotics foundation model research groups and teams), please make an intro ([lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)) — we’d love to collaborate, thank you!\n\n🔗 [cortexrobot.ai](https://cortexrobot.ai)\\\n📩 [lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)\n\n![uploaded image](/media/?type=post&id=95318&key=user_uploads/53734/069d07db-9cdf-4720-96b4-a7077818cb06)\n\n", "url": "https://www.ycombinator.com/launches/OnO-cortex-ai-large-scale-real-world-data-for-general-purpose-robotics", "votes": 20, "created_at": "2025-11-08T15:29:09.944Z" } ] }, { "id": 30947, "name": "Philon", "slug": "philon", "former_names": [ "Philon", "Spatial AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.png", "website": "https://philon.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building open-source general-purpose robots capable of performing unsafe, repetitive or boring tasks.", "one_liner": "General Purpose Robots", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761067885, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/philon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/philon.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/94854659", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2367289, "full_name": "Alexandros Petkos", "title": "Founder", "founder_bio": "Building General Purpose Robots", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandros-petkos/", "x_url": "https://x.com/alex_petkos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2334445a73b87d24bc5aac380f045775e996fc16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95567, "title": "Spatial AI: Large datasets for robot foundation models", "tagline": "Collecting large-scale real-world data to teach robots how to navigate the world and complete tasks.", "body": "![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/61a41a40-748f-4ef4-8196-4b5ca76ef86d)\n\n**Spatial AI** ([**https://spatial-ai.com/**](https://spatial-ai.com/)) is building large datasets for robot foundation models.\n\n**Open Source**: [**https://huggingface.co/datasets/spatial-ai/sea-small**](https://huggingface.co/datasets/spatial-ai/sea-small)\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/5313b99e-aa0b-46d4-b4d4-cd9983bedecd)\n\n**The Problem:**\n\nThe biggest obstacle to bringing robots into everyday life is the software. We need far more capable models to control general-purpose robots effectively and enable them to carry out tasks in the physical world.\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/7a226006-47e9-4c89-bcd2-b09ce89cb241)\n\n**The Solution:**\n\nTo train capable models, we need vast amounts of high-quality data. Our first dataset SEA (Spatial Everyday Activities) is the largest well-curated egocentric dataset of people performing tasks.\n\n**Story:**\n\nI’ve been building humanoids and dynamic robots for nearly a decade, starting in my garage when I was a kid.\n\nhttps://alexandros-petkos.com/humanoid-work\n\nhttps://alexandros-petkos.com/quadruped-work\n\nAlex", "url": "https://www.ycombinator.com/launches/OrP-spatial-ai-large-datasets-for-robot-foundation-models", "votes": 23, "created_at": "2025-11-17T19:55:18.588Z" } ] }, { "id": 30987, "name": "Lightberry", "slug": "lightberry", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.png", "website": "https://lightberry.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build brains for robots.\r\n\r\nWe work with manufacturers like Unitree to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\r\n\r\nRobots running Lightberry are emotionally intelligent, always on, and fully autonomous. Just like in Star Wars!", "one_liner": "Robots with soul", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761343459, "tags": [ "Hard Tech", "Hardware", "Robotics", "Design", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lightberry", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lightberry.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lightberryinc", "x_url": "https://x.com/lightberry", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 255747, "full_name": "Ali Attar", "title": "Founder/CEO", "founder_bio": "Founder @Lightberry (F25) 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/attarali", "x_url": "https://twitter.com/aliatttar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc8e4cc390f95fd1cb22381c69d3e994240bed1e.jpg" }, { "user_id": 187048, "full_name": "Stephan Koenigstorfer", "title": "Founder/CTO", "founder_bio": "Founder @ Lightberry 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephankoe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a8868edb0a4206fafe6b4d0157e327fe6e9b1dd.jpg" }, { "user_id": 2052513, "full_name": "Stephan Wolski", "title": "Founder/Head of Robotics", "founder_bio": "Self driving cars, trucks, and humanoids.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephan-wolski/", "x_url": "https://x.com/StephWolski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aaf21d7f88280fe68894078fb1ca2cae4d0b2bd0.jpg" } ], "jobs": [ { "id": 90164, "title": "Senior/Staff Software Engineer, Voice AI", "url": "https://www.ycombinator.com/companies/lightberry/jobs/J1rOMLl-senior-staff-software-engineer-voice-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $280K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90199, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/lightberry/jobs/zMM4MQ4-robotics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $225K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 95161, "title": "Lightberry - Robots with Soul", "tagline": "We’re building brains for robots - so they can talk, act, listen and feel. ", "body": "![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/b726300c-0e1d-4190-87ac-44a8bc4a2ed3)\n\nGreetings dear humans – we’re building **Lightberry: the social brain for robots.**\n\nWe work with manufacturers like Unitree and Booster to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\n\nRobots running Lightberry are:\n\n* emotionally intelligent\n* always on\n* fully autonomous\n\nJust like in Star Wars!\n\nhttps://www.youtube.com/watch?v=aJZ3pcFyfg4\n\n### **Why?**\n\nWe’ve seen robots on stage: folding laundry, serving popcorn, doing backflips… But before robots get deployed in homes, offices, and shops, they need to become good at **interacting with people**.\n\nSlapping ChatGPT realtime on it is not enough, every manufacturer tried that already. It responds to every little noise, lacks personality, and needs to be teleoperated.\n\nLightberry makes robots **contextually aware**, **customizable**, and **autonomous**.\n\n_We’ll let our robot Mini-Pi say it in its words:_\n\n[**https://youtu.be/e1gD57WY74s**](https://youtu.be/e1gD57WY74s**)\n\n### **Is it just a voice pipeline on top of a robot?**\n\nNo. Lightberry robots have agency. They **decide** when they want to speak or move. Our robots can **see the world** around them, **navigate it** without hitting obstacles, and have an internal **monologue of thoughts**.\n\n_Here’s our robot Koko’s hot-take:_\n\n[**https://youtu.be/Y7SN58Cdvs4**](https://youtu.be/Y7SN58Cdvs4**)\n\n### **What can your robots do?**\n\nRobots running Lightberry are being deployed to interact with people: homes, offices, shops, conferences, etc. Our software works on many different robots: Unitree G1, Fourier GR-2/N1, Booster T1/K1, High Torque Mini-Pi/Mini-Pi+ …\n\n_Here are a few robots we’ve deployed Lightberry on – meet Koko, Synthia, Alfred, Blake, Minnie, and Bradford:_\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/60dd09f1-41ed-488c-bb73-546727f5d606)\n\n### **Ask**\n\n**We want to deploy as many robots in the real world as possible.** If you want to:\n\n* Hire a robot for a people-facing gig (conference, sales, marketing, receptionist, concierge…)\n* Integrate Lightberry into your robot (if you’re building hardware!)\n\n**Please email us at [founders@lightberry.com](mailto:founders@lightberry.com).**\n\nThanks,\n\n[**@Ali Attar**](https://bookface.ycombinator.com/user/255747) & [**@Stephan Koenigstorfer**](https://bookface.ycombinator.com/user/187048)\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/c6837400-65bf-4cb7-a943-52615e648ae8)\n\n_Yes, it walks around me!_", "url": "https://www.ycombinator.com/launches/Okr-lightberry-robots-with-soul", "votes": 178, "created_at": "2025-11-04T17:34:27.623Z" } ] }, { "id": 30991, "name": "Forge Robotics", "slug": "forge-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.png", "website": "https://forge-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Forge Robotics is changing the way that metal parts are fabricated. We are enabling a future where our intelligent robotic system completes all steps needed to take raw metal stock and transform it into fully welded parts. \r\n\r\nBeginning with welding, we are building a robot-mounted vision system and AI feature detection that creates a real-time 3D map and tells the arm exactly where to go at every instant.", "one_liner": "A robotics intelligence system for metal fabrication", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762659715, "tags": [ "Robotic Process Automation", "Robotics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forge-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/forge-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/forge-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2972389, "full_name": "Robert Cormican", "title": "Founder/CTO", "founder_bio": "CEO and Founder of Forge Robotics. With a deep background in Mechatronics, Image Quality and Computer Vision and Silicon Development/Semiconductor Manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-cormican-a4405990/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60f5c6a0a8856605cc957c1a4ba6d20ea552717d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95362, "title": "Forge Robotics - The Future of Manufacturing", "tagline": "Forge Robotics gives manufacturing companies the ability to make parts fully autonomously", "body": "Hey everyone, we’re [Eoin ](https://www.linkedin.com/in/eoincobbe)and [Robert](https://www.linkedin.com/in/robert-cormican-a4405990), co-founders of Forge Robotics.\n\nWe are completely changing the way that metal fabrication is done. Companies can no longer afford to deal with massive labour shortages and rising costs of outdated processes. Forge is on the journey to enable companies to take in raw stock metal and output completed metal parts without human intervention.\n\n# TL;DR\n\nForge is building a system that turns dumb, human-programmed industrial welding robot arms into autonomous members of the workforce.\n\nFrom here, we will deliver autonomous factory units that handle all processes in metal fabrication, from handling cut parts and positioning them for assembly, to welding and cleaning up final assemblies.\n\nTo get involved, contact us @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nhttps://www.youtube.com/watch?v=5vxp75bUlIY&t=38s\n\n# 🏭 The Problem\n\nManufacturing is an industry that has been all but left behind for the past 20 years compared to the advances in software development, self-driving vehicles, and all other fields that AI has revolutionised.\n\n**Labour shortages**\n\nManufacturing of defence equipment, construction machines, and automotive make up the backbone of much of the American economy. In the U.S, there are 400,000 unfilled welding positions, and that is expected to rise to 600,000 by 2030.\n\n**Push to reshore**\n\nOEMs and Tier 1 manufacturers are pushing to reshore their manufacturing, but traditional methods of operation mean that they are failing to operate profitably when competing with manufacturing in offshore economies.\n\n**Failure of current automation**\n\nCurrent industrial robots can only achieve a very narrow set of well-defined manufacturing tasks because of the way robots are programmed. Traditionally programmed welding robots end up with around 10% of parts needing rework due to the delta in geometry from part to part.\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/eb13105f-47fa-4312-b8c7-185ecac7e04a)\n\n# 🦾 Our solution\n\nForge provides a vision system and robotic intelligence that creates a sub-mm map, identifies all features and weld seams, and autonomously controls the welding robot arms.\n\nMetal fabrication companies will now:\n\n* No longer have to **manually program** robotic arms\n* Achieve **99% first pass line yield**, up from the current 90%\n* Use robotic welding arms in many previously infeasible situations\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/82ef4c04-835c-4a20-a6b6-85698177d54b)\n\n# ♾️ Fully autonomous production\n\nUsing the manufacturing intelligence system that we are working on for factories today, we will be delivering fully autonomous modular factory units that handle all of the metal manufacturing processes to take raw steel parts to finished welded assemblies. Saving companies **Tens of millions** per year by changing the way they manufacture.\n\n# 🤝 Ask\n\nCan you introduce us to companies in the metal manufacturing industry? We are currently taking on as many pilot customers as we can!\n\nIf this is a future that excites you and you want to find out how you can be part of it 👉Contact Eoin @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nFind out more @ [www.forge-robotics.com](https://forge-robotics.com/)", "url": "https://www.ycombinator.com/launches/Oo6-forge-robotics-the-future-of-manufacturing", "votes": 285, "created_at": "2025-11-10T15:00:31.012Z" } ] }, { "id": 30996, "name": "Axial", "slug": "axial", "former_names": [ "Axial Composites Industries", "Nerviom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.png", "website": "https://axialcompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Axial develops accelerated software for geometric computation, physical simulation, and manufacturing.\r\n\r\nOur GPU-native kernels provide programmable building blocks for the computational engineering cycle. They make existing workflows faster and less expensive while enabling engineering teams to explore substantially larger design spaces.", "one_liner": "Accelerated Physics Kernels for Computational Engineering", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1757132336, "tags": [ "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axial", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/axial.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 853081, "full_name": "Giuseppe Rapisarda", "title": "Founder/CEO", "founder_bio": "Aerospace engineer. 5+ years of designing and manufacturing composite components for UAVs, rockets and satellites. Space industry experience @ Rocket Factory Augsburg, designed and simulated composites aerostructures.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/giuseppe-rapisarda2001/", "x_url": "https://x.com/peps_rp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f916b718b726da45ffb965ad788f90c529725590.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95367, "title": "Axial Composites Industries: Manufacturing Stronger Carbon Fiber Parts Faster", "tagline": "Composites manufacturing for the upcoming aerospace and robotic age", "body": "**TLDR:** Drones and robotics are driving demand for high-performance materials at an all-time high. We make it easier to manufacture aerospace-grade carbon fiber parts thanks to our bespoke 5-axis manufacturing cell.\n\nhttps://youtu.be/9H3dZBSVojE\n\nHey all,\n\nWe are [Giuseppe](https://x.com/peps_rp) and [Rollo](https://www.linkedin.com/in/rollo-tully-5a3306221/),\n\nWe started with manufacturing UAVs together back in university, and now we are creating a manufacturing cell to make better composite parts for aerospace and robotics.\n\n**Why work on this?**\n\nConventional composites manufacturing faces long lead times (2-10 weeks)\n\nThis is how the standard process looks like:\n\n1\\.     Mold manufacturing (1-4 weeks, $10k–$100k+).\n\n2\\.     Manual layup (8-40 labor hours @ 30-80$/hr).\n\n3\\.     Part curing (3-20hr, autoclave CAPEX: $35k-$500k+).\n\n4\\.     Post-processing (2-5 days).\n\nOne design iteration burns weeks and money; a small design change results in going back to step 1.\n\nEngineering teams need faster lead times, lower barriers to entry for manufacturing, and more design freedom.\n\n**The solution**\n\nWe condense all of those steps in a single manufacturing cell, producing parts in a day instead of weeks, offering unprecedented design opportunities.\n\nOur MK1 custom manufacturing cell is equipped with:\n\n* 5 degrees of freedom for non-planar operations\n* thermal chamber for high-performance materials\n* switchable end effectors for additive and subtractive manufacturing of composites\n* 1.5m tall build chamber for large structures production\n\nOur software stack is the first optimized 5-axis slicer for continuous fiber that can deposit material along the stress fields direction of the component, which allows us to produce parts as strong as metals but as light as plastics.\n\nWe engineer and produce our own reinforced thermoplastic stock in-house. We believe that material science advancements lie at the base of most significant step changes in the progress of a civilization, and our fundamental belief is that we have barely scratched the surface of what these materials can achieve.\n\n![uploaded image](/media/?type=post&id=95367&key=user_uploads/853081/dbfa5011-b19e-4c4c-a9ac-17e394252188)\n\n**Ask**\n\nIf you would like to try our parts, hit us up! Any intros to aerospace/robotics companies are also greatly appreciated. Just reach out on X or via email [Giuseppe@axialcomposite.com](mailto:Giuseppe@axialcomposite.com)\n\nP.S. We weren’t able to break the test sample shown in the gif, we hit the upper limit of the crane, and the aluminum structure started to bend instead. More testing soon!", "url": "https://www.ycombinator.com/launches/OoB-axial-composites-industries-manufacturing-stronger-carbon-fiber-parts-faster", "votes": 19, "created_at": "2025-11-10T19:04:14.644Z" } ] }, { "id": 31043, "name": "Advanced Metal Research", "slug": "advanced-metal-research", "former_names": [ "Gradient Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.png", "website": "https://advancedmetalresearch.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "America does not just need more welders. It needs welding knowledge that can scale.\r\n\r\nThe American Welding Society projects 320,500 new welding professionals will be needed by 2029, with about 80,000 jobs to be filled annually from 2025 to 2029. More than 157,000 current welding professionals are approaching retirement. Welders are only a small share of the skilled-trades workforce, but welding accounts for an outsized share of projected capability demand. \r\n\r\nThe market calls it a labor shortage. AMR sees a learning bottleneck.\r\n\r\nWe are building American-made robotic welding cells that combine computer vision to provide real-time seam tracking and post-weld inspection to turn welding from a scarce manual process into a closed-loop manufacturing system that learns from every weld as it happens.", "one_liner": "Machine intelligence for American Welding", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778801477, "tags": [ "Hardware", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/advanced-metal-research", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/advanced-metal-research.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/advanced-metal-research/", "x_url": "https://x.com/amrwelding", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gradient-industrial-robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 2387747, "full_name": "Angus Muffatti", "title": "Founder/CEO", "founder_bio": "+Last startup hit first $1m in 18 months &\n$10m val at last investment from largest\naussie real estate group\n+ 3 published ML & AI optimisation papers\n+ Designed & built liquid bi-propellant\nrocket engines & test facility", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angusmuffatti/", "x_url": "https://x.com/dirtman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/646784bdfdad91fa4bd900a67f40c8583fd68bc8.jpg" }, { "user_id": 2392080, "full_name": "Julian Fried", "title": "Founder", "founder_bio": "Building robotic welding equipment | Prev. Welding foreman in Eastern PA 🇺🇸", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-fried-460691226", "x_url": "https://x.com/JulianFried", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dfec594b322db9fff20733f9980b38f0e6d6fb3.jpg" }, { "user_id": 1654103, "full_name": "Stephen Lin", "title": "Founder", "founder_bio": "Founder at Advanced Metal Research. Previously at NASA working on spacewalks and planetary exploration. Built systems used by mission control for 19 spacewalks to date enabling real-time telemetry & monitoring of EVAs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-lin-0/", "x_url": "https://x.com/Perandex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e89340e2cecc6871ebdb5fe3b69da1781422744.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31047, "name": "Waddle Labs", "slug": "waddle-labs", "former_names": [ "Waddle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png", "website": "https://www.waddlelabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "LLMs that control robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784890498, "tags": [ "Developer Tools", "Generative AI", "Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/waddle-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/waddle-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/waddlelabs/", "x_url": "https://x.com/theWaddleLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2132817, "full_name": "Hanming Ye", "title": "Founder", "founder_bio": "Interested in how natural intelligence arises. I also like machines such as 3D printers and robots. \n\nhttps://dozenducc.github.io/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hanming-ye-0467b01aa", "x_url": "https://x.com/DozenDucc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b813f423ca4b4732c54817689193d5602190bf5.jpg" }, { "user_id": 1853600, "full_name": "Yiding Song", "title": "Founder", "founder_bio": "Interested in systems that learn theories about the world with human-like efficiency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yiding-song-vincent/", "x_url": "https://x.com/yiding_song", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7078e0f6f101f74db1f4584bb6cd102051bb9f0.jpg" } ], "jobs": [ { "id": 109947, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/waddle-labs/jobs/RaRUAQK-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $350K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "ML", "Python", "Torch/PyTorch", "Distributed Systems", "Fine-tuning", "Evals", "AI Agents", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 107821, "title": "Waddle Labs - Agents that control robots", "tagline": "Claude Code for robotics - prompt your robot to do physical tasks", "body": "Waddle is the Claude Code for robotics. Connect our API to your robot and type a prompt, then our agents write code to achieve the task in \\~20 minutes.\n\n![uploaded image](/media/?type=post&id=107821&key=user_uploads/2132817/afc74f28-33c6-450c-80c3-7f2d263f213d)\n\n### **Our Hypothesis**\n\nRobot intelligence today depends either on large end-to-end VLAs or classical approaches.\n\n\\- VLAs are difficult to customise and steer, require huge amounts of data to train, and don’t yet generalise across embodiments and environment. They face limited deployment.\n\n\\- Meanwhile, classical approaches are widely deployed for their reliability and explicit control, but are often brittle and costly to redevelop in new setups.\n\n_Does this tradeoff have to be inevitable?_\n\n**Our hypothesis:** By using agents to control robots, we combine the generalisation of VLAs with the speed and reliability of classical approaches. \n\n### **Our Solution**\n\nOur agents decomposes a goal into subtasks, and completes each subtask by viewing camera feeds, writing control code, and calling models like VLAs. The agent outputs a program that you can run and iterate on by talking to our agents. \n\n**Where we've been using Waddle internally:**\n\n\\- **Create a working policy in 20 minutes** (\"Write a program to package the box\")\n\n\\- **Generate data for model training** (\"Pick and place lego bricks at random positions 1000 times\")\n\n\\- **Facilitate robotics auto-research** (\"I am tuning a policy overnight. Reset the scene after each trial”)\\\n\\\nBecause our agents are LLMs, they inherit properties of the underlying models. Agents and the code they write are inherently generalist, so they work with any robot and any environment without additional data. Moreover, agents excel at long-horizon planning and can decompose a physical goal into subtasks, verify each stage, and re-plan on failure.\n\n**Interested in trying our agents via our preview API?** Sign up at \\[our website\\]() or email [founders@waddlelabs.ai](mailto:founders@waddlelabs.ai)\n\n### **Our Research**\n\nWaddle's agents enable new forms of scaling that we are very excited about:\n\n\\- **Scaling compositional generalization:** Our agent first wrote the “fold_grasp” skill while flipping a package; another agent later used it to fold a t-shirt. Over time, agents accumulate a library of skills, enabling future agents to compose them and achieve harder tasks.\n\n\\- **Scaling multi-robot cooperation:** Imagine an entire fleet of robots collaborating to achieve a task. For VLAs, this is a nightmare. For Waddle, simply hook up more agents. A master agent spawns subagents, coordinating multiple robots working concurrently.\n\n\\- **Scaling from scale:** We evaluated Opus 4.8, Fable 5, and GPT 5.6 Sol on a suite of manipulation tasks: larger models with larger thinking budgets consistently produce better policies. As foundation models improve, so do our robots.\n\n### **The Team**\n\nWe are @Yiding Song (Vincent) and @Hanming Ye. We met at MIT’s Research Science Institute, where Vincent was working on multimodal astrophysics models and Hanming was researching topology in the math department. Since then, we’ve become roommates at Harvard where we are either doing ML research or breaking robots - usually both.\n\nThere will be millions of robots in the future. Our mission is to enable everyone to take part in building them.", "url": "https://www.ycombinator.com/launches/S33-waddle-labs-agents-that-control-robots", "votes": 11, "created_at": "2026-07-27T17:45:25.918Z" } ] }, { "id": 31081, "name": "One Robot", "slug": "one-robot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.png", "website": "https://www.onerobot.io/", "all_locations": "San Francisco, CA, USA", "long_description": "One Robot builds simulation environments that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot policies without being bottlenecked by robot time.\r\n\r\nToday, improving a VLA often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and hard to scale. For example, material handling and manufacturing assembly tasks, models need far more training and evaluation data than teams can collect in the real world.\r\n\r\nWe use task-specific data to build world model-based simulation environments for hard manipulation tasks (for example, textiles and box folding). These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\r\n", "one_liner": "World models for robot evals and training.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1771897545, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/one-robot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/one-robot.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/112377363/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1279427, "full_name": "Hemanth Sarabu", "title": "Founder/CEO", "founder_bio": "Bringing robots to life using world models and machine learning. Previously built robot learning and perception systems at Industrial Next, Symbio Robotics, NASA JPL, and Google. Bootstrapped geospatial AI company, Crescer AI, to profitability.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hemanth-sarabu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/602329e071fc2f5cab183561f2406d3252092f70.jpg" }, { "user_id": 3158361, "full_name": "Elton Shon", "title": "Founder/CTO", "founder_bio": "Robotics, SW/FW. Previously built robot learning and control system at Industrial Next and helped build Dojo at Tesla.", "is_active": true, "linkedin_url": "www.linkedin.com/in/elton-shon", "x_url": "https://x.com/eltonbear6996", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc72bcb74af48da17378db9826fc06748395b439.jpg" } ], "jobs": [ { "id": 93969, "title": "Founding Machine Learning - World Models", "url": "https://www.ycombinator.com/companies/one-robot/jobs/Y0Ex6AF-founding-machine-learning-world-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93970, "title": "Founding Machine Learning - Eval Layer", "url": "https://www.ycombinator.com/companies/one-robot/jobs/LDM2P6d-founding-machine-learning-eval-layer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93971, "title": "Founding Robot Learning", "url": "https://www.ycombinator.com/companies/one-robot/jobs/POydsSA-founding-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96233, "title": "Machine Learning Intern ", "url": "https://www.ycombinator.com/companies/one-robot/jobs/tJSlTgB-machine-learning-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Computer Vision" ] } ], "news": [], "launches": [ { "id": 98129, "title": "One Robot - World models for robots", "tagline": "Building world model-based environments for robot training and evaluation", "body": "![uploaded image](/media/?type=post&id=98129&key=user_uploads/3158361/00dc56f4-3ce6-46b4-afbc-9da0a28bf72f)\n\n**TL;DR**\n\nOne Robot builds world model-based simulations that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot action models (VLA) without being bottlenecked by robot time.\n\n**The Problem**\n\nImproving a VLA today often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and fundamentally unscalable. To generalize, models need far more training and evaluation data than teams can realistically collect in the real world.\n\nHemanth and Elton used to train robots to automate the assembly of parts requiring sub-millimeter precision. As models got better, they hit a surprising bottleneck: it started taking longer to evaluate a new policy than to train it. To answer “Is model B better than model A?”, they had to:\n\nSchedule a physical robot → run tests → reset scene → record failures → tweak → retrain models → repeat.\n\nSimulations should solve this. But existing simulators fall short because they’re either not photorealistic or not physics-realistic. Neither is sufficient for learning and evaluating modern robot policies.\n\n**The Solution**\n\nWe build task-specific world models that learn contact dynamics and visual appearance from robot data, and use them to generate realistic simulation environments for training and evaluation. Instead of relying on generic physics engines, our models predict how objects move and deform under robot actions, achieving photo- and physics-realistic rollouts for hard manipulation tasks like textiles and box folding. These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\n\n**The Team**\n\nHemanth built ML systems for robots at Google, NASA JPL, Symbio Robotics, and Industrial Next (YC W22). He previously bootstrapped a profitable geospatial AI company and built vehicle simulations at McLaren.\n\nElton spent five years at Tesla, building robotics and large-scale AI infrastructure for factory automation during the Model 3 production ramp and the Dojo supercomputer team. He later joined Industrial Next (YC W22) as head of software, building robot learning and control systems.\n\n**Ask**\n\nIf you or someone you know is training robots for real-world tasks with manipulators, let’s connect! ([founders@onerobot.io](mailto:founders@onerobot.io))\n\n", "url": "https://www.ycombinator.com/launches/PWj-one-robot-world-models-for-robots", "votes": 18, "created_at": "2026-02-25T03:42:19.254Z" } ] }, { "id": 31095, "name": "Asimov", "slug": "asimov", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.png", "website": "https://tryasimov.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.", "one_liner": "Real-world human movement data for humanoid robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770974844, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asimov", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/asimov.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryasimov", "x_url": "https://x.com/tryasimov", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1388734, "full_name": "Lyem Ningthou", "title": "Founder", "founder_bio": "Defense tech robotics researcher → building the data layer for humanoid robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lyem-ningthou-5a09a4239", "x_url": "https://x.com/lyemningthou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca99e769565a3c37a267f014c6378c289ff5c2e0.jpg" } ], "jobs": [ { "id": 90230, "title": "Data Collection Specialist", "url": "https://www.ycombinator.com/companies/asimov/jobs/u0cjTqP-data-collection-specialist", "location": "Remote", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$20 - $30", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90832, "title": "Strategic Operations Intern", "url": "https://www.ycombinator.com/companies/asimov/jobs/opG4UcT-strategic-operations-intern", "location": "Berkeley, CA, US / Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98597, "title": "Asimov 🤖: On demand human intelligence for robots", "tagline": "We help robotics companies collect human-in-the-home and human-at-work data at scale through a global network of contributors.", "body": "Hi YC! 👋\n\nWe're Anshul and Lyem, co-founders of Asimov. We're building the data infrastructure to enable the GPT-3 moment for humanoid robots.\n\n**TL;DR**\n\nLanguage models trained on trillions of words. Image models trained on billions of photos. Robots are starting from scratch. The bottleneck is diverse, real-world human movement data. We're building the infrastructure to collect and own it at scale.\n\n**🎥 Launch Video**\n\n\n\n**🚨 The Problem**\n\nHumanoid robots need to learn from human movement in diverse environments, but the data to teach them doesn't exist at scale. Existing datasets are narrow, captured largely in controlled factory settings, repeating the same tasks in the same environments. What's missing is diversity: thousands of different people, in thousands of different spaces, doing the full range of things humans actually do.\n\nThe market for robotics training data will dwarf what was spent on language model data, and right now nobody owns the supply chain.\n\n**🚀 Our Solution**\n\nAsimov empowers individuals worldwide to earn a living by recording what they already do: cooking, cleaning, working, living. That means data from thousands of different people, homes, and workplaces: the task and environment diversity that factory-only datasets simply can't replicate.\n\nWe've built the full stack to make it happen: proprietary hardware, annotation tooling, and a vertically integrated pipeline that makes our data higher quality and cheaper to produce than anything on the market. The largest robotics labs in the world are already our customers.\n\n**👨‍💻 The Team**\n\nAnshul brings deep data infrastructure expertise from Scale AI and Lyem built data pipelines for the United States Air Force. We’ve been building together since we were roommates in college, and previously co-founded a startup they grew to six figures in revenue.\n\n**🙏 Our Ask**\n\n1\\. **If you're a robotics company looking for data**, we'd love to talk. We're already supplying the largest players in the space and can deliver at scale starting today. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n2\\. **If you own a restaurant, warehouse, or any business**, anywhere in the world, and are interested in partnering, let us know. Many of our partners are able to entirely cover their workers' salaries by having them wear our collection kits while they work. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n3\\. **No matter where you live**, you can turn your daily routine into a living. Sign up at [tryasimov.ai](http://tryasimov.ai).", "url": "https://www.ycombinator.com/launches/PeH-asimov-on-demand-human-intelligence-for-robots", "votes": 11, "created_at": "2026-03-09T19:38:04.886Z" } ] }, { "id": 31120, "name": "Kyten Technologies", "slug": "kyten-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.png", "website": "https://kytentech.com", "all_locations": "Seattle, WA, USA", "long_description": "Kyten Technologies is building a factory to manufacture custom aerospace-grade battery packs. \r\n100,000+ drones, submarines, and satellites are being built in the US, but the legacy supply chain can't keep up. \r\nDuring our six years at Starlink, we put 5,000+ battery packs into space. Now, we're bringing rapid development and volume production of aerospace-grade battery packs to the entire industry.", "one_liner": "Custom Aerospace-Grade Battery Packs", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769535029, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kyten-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/kyten-technologies.json", "year_founded": 2026, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111249039/admin/dashboard/", "x_url": "https://x.com/KytenTech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3147934, "full_name": "Cooper McBride", "title": "Founder", "founder_bio": "In the span of six years, Cooper went from an intern at Tesla to building and leading 30+ person engineering teams at SpaceX and Shield AI. His teams played a critical role in each company's industry-leading development pace, production rates, and reliability.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/cooper-mcbride/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83fbaee0b2a501468f9a73c063eafb4828daa534.jpg" }, { "user_id": 2153211, "full_name": "Lucas Maddox", "title": "Founder", "founder_bio": "My startup failed. I'm back at SpaceX working as an engineering lead.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/lucasmaddox", "x_url": "https://x.com/maddox_lucas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3e976c022f6e658bee111cfb46008111ab4be10.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97246, "title": "Kyten - The modern aerospace battery pack supplier", "tagline": "Custom aerospace-grade battery pack factory", "body": "Hey everyone, we’re [Cooper](https://www.linkedin.com/in/cooper-mcbride/) and [Lucas](https://www.linkedin.com/in/lucasmaddox/) - cofounders of [Kyten Technologies](https://www.kytentech.com/)👋\n\n### **TL;DR**\n\nAmerican manufacturers are racing to build 100,000+ autonomous vehicles for the air, sea, and space. Every vehicle needs a custom, aerospace-grade battery pack, but the supply chain delivering them is holding programs back. We’re changing that.\n\nDuring our six years at **Starlink**, we put over 5,000 battery packs into space. Now, we’re bringing rapid development and volume production to the entire industry.\n\n**_Ask_:** We have capacity for a few pilot customers—if you know any sea, air, or space manufacturers, please send them our way at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com).\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/dad68a31-f6b9-4416-b89a-88ec56504144)\n\n### 🐌 The aerospace supply chain is holding OEMs back\n\nEvery drone, submarine, and satellite needs a custom battery pack. But as demand grows into the tens of thousands per year, the supply chain is a generation behind:\n\n* **6-12 months** to design and qualify custom builds.\n* **6-12 months** to ramp to high volume production.\n* **At least 5x** the cost of vertically integrating the product itself.\n\nForced vertical integration results in slower programs, higher costs, and significant delivery risk.\n\n### 🛠️ Kyten builds aerospace battery packs fast and at high volume\n\nWe spent a combined eight years at **Starlink** and **Shield AI** driving down lead times and increasing production capacity of aerospace-grade battery packs. Kyten builds on this experience to deliver high volumes in weeks, not 12+ months:\n\n* **1 week** to design via adaptive architecture.\n* **1 week** to qualify via automated in-house testing.\n* **1 week** to volume production via software-defined manufacturing.\n* **1,000s of units/year** per product.\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/0ec4b193-79f5-4f5d-ba72-6c8cd9bf1874)\n\nUnlike the legacy aerospace supply chain, Kyten thinks like a modern manufacturer. If you, or anybody you know, needs custom aerospace-grade battery packs, please reach out at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com) 🦅\n\n", "url": "https://www.ycombinator.com/launches/PIU-kyten-the-modern-aerospace-battery-pack-supplier", "votes": 17, "created_at": "2026-01-28T22:03:08.669Z" } ] }, { "id": 31205, "name": "Human Archive", "slug": "human-archive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.png", "website": "https://www.humanarchive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Archive (YC W26) is building the data and deployments infrastructure for physical AI.\r\n\r\nWe design hardware, deploy cameras and sensors globally, and train models that help AI better understand how humans interact with the physical world.\r\n\r\nLeading frontier AI labs trust us for their video, sensor, robot deployment, image, and audio datasets.\r\n\r\nWe have offices in SF, China, and India and are researchers from NYU GRAIL, UPenn GRASP, UC Berkeley, Stanford, Johns Hopkins Robotics, and national robotics champions.\r\n\r\nTo get data, please reach out to raj@humanarchive.ai", "one_liner": "Physical AI data lab", "team_size": 100, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1767518366, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/human-archive", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/human-archive.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/human-archive/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1909062, "full_name": "Raj Patel", "title": "Founder/CEO", "founder_bio": "Archiving the structure of human interaction in the physical world. Berkeley dropout and previous farmer (sold mangoes & planted trees)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raj-patel2004/", "x_url": "https://x.com/babugi28", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efbe62a3550d8642731b0d6840c3f88f14222a95.jpg" }, { "user_id": 1813197, "full_name": "Rushil Agarwal", "title": "Founder", "founder_bio": "Rushil Agarwal is a founder of Human Archive (W26). He studied Industrial Engineering and Operations Research along with Business at UC Berkeley's highly selective MET program (<1% acceptance rate)\n\nHe previously worked on data pipelines for embedding models and on-chain infrastructure at Coinbase. He also scaled a Web 3.0 software business, which served 500+ SMBs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushilagarwal261205/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91b52b708af96b75c25943c4349405c5c1934b08.jpg" }, { "user_id": 1604009, "full_name": "Samay Maini", "title": "Founder", "founder_bio": "Creating multimodal real-world datasets for robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaymaini/", "x_url": "https://x.com/samay_maini15", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9d035e503f19fffad5407a9b7117bdcf61a3abe.jpg" }, { "user_id": 2067943, "full_name": "Shloke Patel", "title": "Founder", "founder_bio": "Shloke Patel is a founder of Human Archive (W26). He studied Mechanical Engineering and Computer Science at Stanford University, where he focused on robotics, systems engineering, and applied AI, and conducted research at the SHAPE and DEL Labs.\n\nBefore Human Archive, Shloke built and operated agricultural businesses, including a mango venture that sold 16,000+ mangoes and helped plant 100,000+ trees. His background spans robotics, mechanical design, and hardware systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shloke-patel/", "x_url": "https://x.com/shloke_patel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92dfdb11e9a2da111455fe361e1e4ee45c4e202c.jpg" } ], "jobs": [ { "id": 88062, "title": "Operations Manager", "url": "https://www.ycombinator.com/companies/human-archive/jobs/di880ZV-operations-manager", "location": "IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹1.5M - ₹3M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88228, "title": "Videographer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/4ZHnJO3-videographer", "location": "IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹1.25M - ₹2.49M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92091, "title": "Mechanical Engineer - Wearable Systems", "url": "https://www.ycombinator.com/companies/human-archive/jobs/ytPKyys-mechanical-engineer-wearable-systems", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92092, "title": "Embedded / Electrical Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/D1LyXYo-embedded-electrical-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "₹2.5M - ₹4M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92093, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/q6l0qYC-firmware-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "₹2.2M - ₹3.5M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92094, "title": "QA / Hardware Test Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/84M0U0h-qa-hardware-test-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92095, "title": "Industrial Designer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/Lb6nrM9-industrial-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$80K - $110K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 92096, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/human-archive/jobs/y2x2QPw-head-of-engineering", "location": "San Francisco, CA, US / IN", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$140K - $210K", "equity_range": "0.25% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup is betting India's gig economy can train the world's robots | TechCrunch", "url": "https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/", "date": "May 26, 2026" } ], "launches": [ { "id": 98605, "title": "Human Archive: The World's Largest multimodal robotics dataset", "tagline": "Let's archive the world for embodied intelligence", "body": "**TL;DR:** We’re capturing the structure of how humans interact with the physical world to model sensorimotor intelligence at scale\\\n**Launch Video:** \n\n**The Problem:**\n\nModern AI is largely a knowledge transfer problem. Over the past decade, training on trillions of tokens of internet data enabled breakthroughs in LLMs, diffusion models, and vision-language models. But **human intelligence is predominantly embodied**, and the **internet does not capture it**. Every day we manipulate objects, apply force, and subconsciously adapt in noisy real-world environments. Yet there is no dataset that captures the **structure of human interaction with the physical world at scale**. As a result, progress in \\*\\*embodied spatial intelligence is bottlenecked by data.\\*\\*\\\n\\\n**What we built:**\n\nOver the past two months, we built infrastructure for high-quality data collection at scale, including:\n\n* Custom hardware rigs\n* Internal models for policy benchmarking\n* QA pipelines, alignment, and annotation software\n* 25-person operations team\n* Dedicated servers at our AWS data center for terabyte-scale offloading\n\nNow that the system is live, we can collect **up to 8,000 hours of data per day** and we’ve signed national level partnerships to scale our contributor network to **50,000+ people.** We’ve already shipped datasets to frontier research teams, and have built the largest multimodal dataset of it’s kind.\n\n**Our datasets:**\n\nWe are currently collecting data across **homes, restaurants, hotels, retail, transportation, construction, horticulture, and industrial environments** across two datasets. \\\n\\\n**HA-Multi** is a fully aligned multimodal dataset with **vision, stereo depth (IR dot projection), tactile gloves, body IMUs, and wrist cameras**. For customers, we provide structured outputs and visualizations including **3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions**. \\\n\\\n**HA-Ego** is a **mono RGB vision** and **wrist cameras** dataset. \\\n\\\nWe provide **annotations** and **metadata** including **environment and scene descriptions, high-level task descriptions, task-aligned atomic action labels, hand tracking, object segmentation, SLAM (extrinsic** and **intrinsics),** and **3D pose reconstruction**.\n\n**Team:**\n\nHi, we’re Shloke, Samay, Rushil, and Raj. We’re engineers from Stanford and Berkeley who’ve spent our entire lives building across operations, hardware, and robotics. We’ve known each other for over 20 years and joined forces to dedicate the rest of our lives to building the Common Crawl for human sensorimotor intelligence.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You’re building in **robotics, world models, or evaluations**\n* You work at or with frontier AI labs interested real world\n* You know cleaning companies, hotel chains, restaurants, factories, or other businesses interested in scaling efficiency and profits with AI\n\n👉 Contact us at [raj@humanarchive.ai](mailto:raj@humanarchive.ai)\n\n💼 Follow us on LinkedIn: \n\n📱 Follow us on X: ", "url": "https://www.ycombinator.com/launches/PeP-human-archive-the-world-s-largest-multimodal-robotics-dataset", "votes": 29, "created_at": "2026-03-08T23:44:25.753Z" } ] }, { "id": 31224, "name": "Servo7", "slug": "servo7", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "website": "https://servo7.com", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "We deploy robots in warehouses to automate the most demanding job in logistics: unloading loose-loaded containers.\r\n\r\nOur customers include 3PLs (CEVA, Stord), distributors (DHL, PostNL) and many more logistics companies.", "one_liner": "Container unloading robots for warehouses", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769385653, "tags": [ "Robotics", "Logistics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/servo7", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/servo7.json", "year_founded": 2025, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/servo7", "x_url": "https://x.com/Servo7Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2067100, "full_name": "Pieter Becking", "title": "Founder/CEO", "founder_bio": "Co-Founder of Servo7: Robots that unload containers in warehouses\n\nPreviously: Deep Reinforcement Learning at Boeing & LLM Engineer & shipped working Hyperloop. Built & sold recruitment tech startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pieterbecking/", "x_url": "https://x.com/pieterbecking", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03fe8d0079f7616bfd9b0d8a2186ac2917faf5c.jpg" }, { "user_id": 2827656, "full_name": "Jasper van Leuven", "title": "Founder/CTO", "founder_bio": "Co-Founder of Servo7: Robots that 10x industry workers. Previously: Developed autonomous defence systems and deployed them in Ukraine. Built the first video generation model for autonomous driving before cosmos & sora.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasper-van-leuven-14a3ba1b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a6bca74226ed2b3f26646eab57a36cd13bfade8.jpg" } ], "jobs": [ { "id": 101951, "title": "Founding Hardware Engineer", "url": "https://www.ycombinator.com/companies/servo7/jobs/yPnmJfu-founding-hardware-engineer", "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97659, "title": "Servo7 - Robots for Industry", "tagline": "Simple and rapidly deployed robots for industry work", "body": "Hey everyone, we’re [@Jasper](https://bookface.ycombinator.com/user/2827656) and [@Pieter](https://bookface.ycombinator.com/user/2067100), co-founders of [@Servo7](https://bookface.ycombinator.com/company/31224). We build simple and rapidly deployed robots for industry work.\n\n**TL;DR**\n\nToday, implementing robotics means redesigning your entire facility around a robot. This is inefficient and unnecessary. With Servo7, you don’t have to do any of that. Our robots adapt to your environment.\n\n\n\n**Problem**\n\nCurrently, industry robots are rigid single-purpose machines. Complete floor plans are redesigned around a single robot. As a result, the installation process is complex and inefficient.\n\nThis discourages many businesses from pursuing automation at all. That’s a missed opportunity.\n\n**Solution**\n\nInstead of adjusting the floorplan, redesigning the conveyor belts, and the outflow, our robots just work in the existing process.\n\nWe’re using AI models to train wheeled humanoids and robot arms. Once the robots are implemented, they’ll keep learning on the job: performing the tasks faster to increase throughput. The implementation of our robots is much faster and easier.\n\n![uploaded image](/media/?type=post&id=97659&key=user_uploads/2067100/e4f3ba51-26b4-4115-8b48-01502d7b9b6d)\n\n**How we got here**\n\nWe have been deploying robots and automating repetitive work for years, even in highly regulated industries like the military and hospitals. But, we also know the slow pain of traditional control methods. So we turned to AI to control robots, and found a much better way. Instead of pre-programming every possible movement, we put the robot to work with just a few demonstrations. We quit our jobs that same day to start Servo7.\n\nToday, we’re working with warehouses and CPG brands to automate their fulfillment.\n\n**Ask**\n\nIf you’re working in logistics, assembly, or manufacturing, our robots can help you improve your operations!\n\nReach out to us at [founders@servo7.com](mailto:founders@servo7.com) to chat. Cheers!", "url": "https://www.ycombinator.com/launches/PP9-servo7-robots-for-industry", "votes": 26, "created_at": "2026-02-09T17:41:22.358Z" } ] }, { "id": 31226, "name": "Libra Robotics", "slug": "libra-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "website": "https://www.librabots.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.", "one_liner": "The robot workforce for infrastructure", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783647531, "tags": [ "Hard Tech", "Robotics", "Construction", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/libra-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/libra-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/librabots", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3178817, "full_name": "Jermaine Zhao", "title": "Founder/CEO", "founder_bio": "Full-stack robotics engineer with an EE & ME background from Stanford. Built and deployed robots across industrial automation, agriculture, and utility-scale solar. Founder of Libra Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jermaine-zhao-9439202a2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54d431097cd70fba6fbe8902e21879a923482e82.jpg" }, { "user_id": 2782328, "full_name": "Yaojing Huang", "title": "Founder/COO", "founder_bio": "Stanford Civil Engineering+CS | PhD defended in Construction Robotics\n\nDissertation on shared robotic platforms and reusable construction skills across tasks. Research at Center for Integrated Facility Engineering and the Stanford Robotics Center; taught Stanford’s Construction Robotics course; worked with 40+ contractors and robotics companies worldwide.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yaojing-h-0b903620b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f3184f01d6822e5211831c041bd669f65ee31b5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122276, "title": "Libra Robotics: The robot workforce for infrastructure", "tagline": "One intelligence layer, many robots. Across solar farms, data centers, and beyond.", "body": "Hey everyone 👋 We're Jermaine and Yaojing, co-founders of Libra Robotics. **We'll present & demo at YC's F26 Demo Day!** If you're attending, we'd love to connect.\n\n**TL;DR:** Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.\n\n\n\n\\[A simplified walkthrough of how Libra’s AI takes a real data center customer's task from initial requirements to robotic deployment - autonomously designing, simulating, testing, and improving along the way.\\]\n\n**The Problem**\n\nInfrastructure has a labor shortage. Robotics has a scalability problem.\n\nUnlike factories, infrastructure work is high-mix: tasks, designs, and environments constantly change. Single-task robots need custom engineering per task; general-purpose robots need enormous data to become reliable. **Neither scales to thousands of changing tasks.**\n\n**Our Approach**\n\nInstead of building one robot that does everything, we build **reusable robotic capabilities and AI that engineers them into new tasks.**\n\nMany infrastructure tasks share the same physical challenges: handling heavy components, precise positioning, alignment, and fastening. We've built a common set of robotic capabilities around these operations, designed to work across different robots and installation tasks.\n\nOur hardware-agnostic AI selects the right robot configuration and tooling, reuses existing skills, and engineers what is missing for each new task, reducing the need for custom engineering.\n\nIt validates solutions in simulation, then autonomously designs and runs physical experiments on our in-house robotic testbeds, stress-testing solutions against real-world variability (such as unexpected obstacles, changing environmental conditions, etc.). When a test fails, the system **diagnoses the failure, recovers, and iterates autonomously** - without human engineers in the loop. Through **recursive self-improvement (RSI)**, it continuously refines its approach toward field-ready performance.\n\n**Every task adds reusable knowledge, making the next one faster and cheaper to automate.**\n\n**GTM & Traction**\n\n**We deploy AI-powered robot crews to perform infrastructure work**, starting with solar installation and data center electrical work, including prefab MEP and busway installation. \n\n**We're already beyond the lab:**\n\n→ **Robots already deployed** on real solar construction sites\n\n→ **Signed commercial agreements** for solar installation\n\n→ **Data center pilots underway** for MEP automation\n\nWe land with one high-value task, then expand into more work for the same customer. Our goal is to achieve 100 million hours of robotic work annually by 2031.\n\n![uploaded image](/media/?type=post&id=122276&key=user_uploads/3178817/7e72e897-d6d4-4ed6-a547-0f5889a68de0)\n\n\\[Libra’s robots in action on solar farms\\]\n\n**Who We Are**\n\nYaojing did her Stanford PhD on the exact problem Libra solves: one shared robotic platform with reusable skills that generalizes across construction tasks. She has worked with 40+ contractors and construction robotics companies.\n\nJermaine previously led a team to build and deploy autonomous agricultural harvesting robots from the ground up, tackling complex manipulation, precision harvesting, and multi-robot coordination in unstructured real-world environments. He brings end-to-end experience turning robotics research into reliable, field-deployed systems.\n\n**Our Ask**\n\nWe're looking for introductions to:\n\n* **Data center GCs, EPCs & Prefab contractors** interested in deploying robots for prefab MEP installation, busway installation, and other electrical fit-out tasks.\n* **Solar EPCs & installers** with upcoming utility-scale projects interested in robotic installation.\n* **Robotics engineers & researchers** working on sim-to-real, autonomous robot engineering, and multi-embodiment learning who want to build with us.\n* **Investors** who are interested in backing the robot workforce companies for AI era.\n\nKnow someone we should talk to? We'd love an introduction!\n\nReach us at [founders@librabots.com](mailto:founders@librabots.com).", "url": "https://www.ycombinator.com/launches/VoC-libra-robotics-the-robot-workforce-for-infrastructure", "votes": 14, "created_at": "2026-10-15T15:49:58.924Z" } ] }, { "id": 31232, "name": "Remy AI", "slug": "remy-ai", "former_names": [ "Bright Eyed Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.png", "website": "https://www.tryremy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building robots and training models for automating manipulation in warehouse, starting with e-commerce 3PLs", "one_liner": "Automating dexterous tasks in warehouses with AI-powered robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770934019, "tags": [ "Robotics", "Logistics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/remy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/remy-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/remy-ai-2025", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1182398, "full_name": "Oscar Brisset", "title": "Founder/CEO", "founder_bio": "Oxford, AI Engineer at BCG X, now working on end-to-end learning for robotics ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscarbrisset/", "x_url": "https://x.com/oscar__2025", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc84e0375af73a1add39a9246fee99dc88fe7766.jpg" }, { "user_id": 3174376, "full_name": "Ben Kaye", "title": "Founder/CTO", "founder_bio": "Oxford engineering '22 and PhD tbd. Expertise in Spatial AI", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ben-kaye-0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86a40536614763d9bfb931829495fdc91289e407.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97934, "title": "🤖📦 Remy AI - Dexterous robots for e-commerce 3PLs", "tagline": "Existing automation options for 3PLs are expensive and inflexible. We're building robots to change that.", "body": "Hi YC ! We’re Oscar and Ben and we’re building Remy AI.\n\n**TL;DR:** we're bringing the robotics revolution to the little guy by building AI-powered robots for e-commerce 3PLs.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/680c2630-17bb-498d-b1d1-1ad64cf55623)\n\n**⚠️The problem**\n\nWarehousing to this day remains highly manual. Whether it’s for inbound receiving, picking, or even truck loading, **more than 80% of warehouses in the US** have little to no automation.\n\n**E-commerce 3PLs** in particular suffer from this. Unlike large retailers or shippers, their inventory mix and volumes are **highly variable**, given their smaller size and greater exposure to e-commerce trends. Their contracts renew on an annual basis, their customers regularly go out of business, and the brands they work with frequently release new products.\n\nMost of the automation out there is designed for the big players. Stacker cranes, 2D/3D shuttles, or even more recently AMR-based systems - these all only make sense to invest in above a certain scale and predictability.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/487a824f-d1aa-4c7b-942e-add0a872b111)\n\nWhat _80% of 3PLs look like: rows of shelves of plastic totes and cardboard boxes with at best a couple conveyors._\n\n**Why is automation so limited?** Because existing solutions are expensive ($100-150K incl. solution + installation + servicing), bulky, and inflexible. They’re usually some mechanical system + a PLC that perform one rigid task repetitively with little to no room for customisation beyond some initial configurations. As a result, most 3PLs aren’t able to leverage these and stick to manual options.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/d87e20be-7be0-4950-a13c-1ea2671ad916)\n\n_Current automated packing stations: rigid mechanical systems with limited adaptability_\n\nYet this long tail of 3PLs is huge: \n\n* 70K 3PLs in the US\n* $1.2 trillion global market size\n* Growing at +8% per year given relentless rise of e-commerce\n\n**✅ The solution**\n\n**Remy AI is building flexible automation for e-commerce 3PLs.**\n\nWe deploy a robotic system that:\n\n* Adapts to new SKUs **without needing to be re-trained or re-programmed**\n* Can be dropped into **existing work stations** with minimal modifications\n* Can perform **dexterous tasks** that existing robots struggle with\n\nWe leverage a versatile bi-manual mobile platform which allows our system to be deployed on a **wide range of tasks**:\n\n* Mobile picking\n* Packing stations\n* Kitting\n* Receiving\n* …\n\nAnd crucially, we do this at a **50% lower cost** than existing solutions, by replacing mechanical complexity with intelligence.\n\n\n\n**🧠 How do we achieve this?**\n\nRecent developments in ML & robotics have made it possible to bring a human level of adaptability to robots. Whereas before you’d have to use a deterministic pipeline that would map specific object morphologies to pre-determined grasps, large pre-trained robotics & vision models now enable robots to generate trajectories and grasps by themselves, adapting in real-time to changing environments.\n\nCombined with recent advances in simulation and robot learning, we’re able to deploy highly customised systems by taking just a couple photos of the customer’s environment, generating that environment in simulation, to then fine-tune our robot to that specific deployment. Supplementing this with real world data captured at the customer’s site + a rigorous domain randomisation pipeline + our own error recovery algorithms, we’re able to deploy systems with production-grade reliability in days not months.\n\n**🤝🧑‍💻Our team**\n\nWe’ve been working in this problem space for several years. We met 7 years ago when we were both undergrads at Oxford.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/a0d166e5-4cb6-4a5b-8579-89f74288a061)\n\n**Oscar (CEO)** - AI engineer at BCGX, built ML infra for Fortune 500s, data engineer previously\n\n**Ben (CTO)** - PhD ML Oxford, embedded systems patent pending, robotics masters\n\n**Ask**\n\nWe’d love to chat to more e-commerce 3PLs and brands that handle their own warehouses. Reach out to us at [founders@tryremy.ai](mailto:founders@tryremy.ai). Thanks!", "url": "https://www.ycombinator.com/launches/PTa-remy-ai-dexterous-robots-for-e-commerce-3pls", "votes": 14, "created_at": "2026-02-18T17:21:02.655Z" } ] }, { "id": 31333, "name": "PerfectBit, Inc.", "slug": "perfectbit-inc", "former_names": [ "Gikl, Inc", "PerfectBit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.png", "website": "https://perfectbit.ai", "all_locations": "San Francisco, CA, USA", "long_description": "PerfectBit builds learned policies for robots that do real work. We train manipulation and control policies that hold up outside the lab, in the unstructured environments where real tasks actually happen. Founded by two alumni of Meta's Superintelligence org: Péter Vajda led Media GenAI foundation-model R&D (Emu, Movie Gen, image and video editing), and Seiji Yamamoto led teams in the Core Llama group across LLM pre-training and post-training, inference optimization, and computer vision. We're early, deliberately quiet about the details, and hiring the first researchers who will shape what this becomes. San Francisco, on-site.", "one_liner": "Robotics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1773359306, "tags": [ "Machine Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/perfectbit-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/perfectbit-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perfectbit", "x_url": "https://x.com/PerfectbitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 3007971, "full_name": "Seiji Yamamoto", "title": "Founder", "founder_bio": "Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seiji-yamamoto-a630897/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b3404aa262c227d308c4e89f01657ebd082beaef.jpg" }, { "user_id": 45070, "full_name": "Peter Vajda", "title": "Founder", "founder_bio": "\nI worked as Director of Media Generation at Meta before 2026 for 11 years.\nI was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. \nI was Assistant Professor at Stanford University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/p%C3%A9ter-vajda-9a03aaa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0315fd092411900f3bed846cb6807bfb6d6290d6.jpg" } ], "jobs": [ { "id": 96987, "title": "Hiring Research Scientists and Research Engineers at PerfectBit", "url": "https://www.ycombinator.com/companies/perfectbit-inc/jobs/snGw8px-hiring-research-scientists-and-research-engineers-at-perfectbit", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $300K", "equity_range": "0.10% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Deep Learning", "Reinforcement learning (RL)", "Computer Vision", "CAD Design", "Blender", "LLMs", "Transformers", "AI Agents", "Multimodal AI", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 101365, "title": "PerfectBit: AI Training data, correct by construction", "tagline": "Specialized data for the world's most powerful models.", "body": "# **TL;DR**\n\n_PerfectBit creates high-quality training data that's correct by construction. We verify against physics simulators, scientific databases, formal proof systems. It's what models need to cure hallucination, close common-sense gaps, and reach superintelligence. Reinforcement Learning from Verified Rewards (RLVR) was an early step in this direction. We go further. LLMs, robotics, AI for Science, and more._\n\n\n\n# **The problem: the failures standing between today's models and superintelligence**\n\nFrontier labs are bottlenecked on four data problems:\n\n* **Hallucination.** Models trained on noisy web scrapes produce confident, fluent statements that are wrong.\n* **Common-sense failure.** Models that solve graduate-level math still trip on trivial problems for a five-year-old.\n* **Information scarcity.** Scientific facts, formal derivations, peer-reviewed findings — they're a thin minority of tokens in any open-web scrape, drowned out by orders of magnitude of recipes, marketing copy, forum chatter, and AI-generated slop. Scaling the scrape doesn't change the ratio.\n* **Human annotation doesn't scale.** It's slow, expensive, and capped at human ability — superintelligence won't come from labeling at human throughput.\n\n# **What we do**\n\n* PerfectBit creates high-quality training data that's correct by construction. Every sample is generated against an oracle — physics simulator, scientific database, formal proof system — and verified before it ships, in text, code, image, audio, or video. For LLMs, we project observations about the world into natural language; for verticals like robotics and AI-for-science, we ship purpose-built datasets.\n\n# **Why us**\n\nWe've trained the models we're now building data for.\n\n* **Peter Vajda** — Former **Director of Media Generation at Meta**. Eleven years at Meta. Most recently led Media GenAI foundation-model R&D: **Emu** (text-to-image), image editing, **Movie Gen**, text-to-video, video editing, character-consistent generation. Earlier led efficient deep learning for computer vision powering on-device Augmented Reality and Virtual Reality (AR/VR) models. **Assistant Visiting Professor at Stanford** before Meta. PhD in Computer Science.\n* **Seiji Yamamoto** — Led teams in the **Core Llama group at Meta Superintelligence Labs**. Nine years at Meta as a **Senior Staff Research Scientist** across LLM pre- and post-training, inference optimization, full-duplex speech, and computer vision. **PhD in Physics**, publications in **Proceedings of the National Academy of Sciences** and **Physical Review Letters** (co-authored with a Fields Medalist). Stanford, Rice, Columbia; postdoc at a National Lab.\n\nBetween us: foundation-model training across text, image, video, and speech, shipped to billions of users — plus scientific chops to design the verifier stacks.\n\n# **We’d love to talk more**\n\nWe're talking to a small number of frontier AI labs about pilot engagements.\n\n* **Heads of data / data partnerships** at frontier labs\n* **Research leads** running pre-training, mid-training, post-training, or reasoning programs and shopping for a corpus that doesn't exist yet\n* **Model-training teams** preparing a next-gen training run who want a correct-by-construction supplement in the mix\n* **Researchers in formal methods, scientific computing, or domain-specific simulators** who want to contribute a verifier stack — we'd love to talk\n\nWe're also **hiring research scientists and engineers in San Francisco** (in-person). If you've shipped foundation-model training, built formal/simulation tooling or spent time developing AI training data at production scale, please reach out.\n\n# **Contact**\n\n* **Web:** [**https://perfectbit.ai**](https://perfectbit.ai)\n* **Email:** [**founders@perfectbit.ai**](mailto:founders@perfectbit.ai)\n* **Founders:** Peter Vajda, Seiji Yamamoto", "url": "https://www.ycombinator.com/launches/QMv-perfectbit-ai-training-data-correct-by-construction", "votes": 8, "created_at": "2026-05-14T19:03:28.026Z" } ] }, { "id": 31341, "name": "Most Robotic", "slug": "most-robotic", "former_names": [ "Instance" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16ccadcbd2ec474ed470efbc872763f4a7984ec0.png", "website": "https://mostrobotic.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We're a robotics research lab pushing what's possible with physical AI.\r\n\r\nWe're MIT computer scientists & friends since middle school, with robotics research backgrounds and industry experience at NASA JPL, SpaceX, and AWS.", "one_liner": "Research lab building the most robotic household in the world", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1782761102, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/most-robotic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/most-robotic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mostrobotic/", "x_url": "https://twitter.com/mostrobotic", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16ccadcbd2ec474ed470efbc872763f4a7984ec0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5d0a5df4551ace828d9502da4d71b644d4143a15.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3107325, "full_name": "Claire Mao", "title": "Founder/CEO", "founder_bio": "MIT Math + CS. Aerospace research @ MIT Media Lab; prev @ NASA JPL", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clairemao-/", "x_url": "https://x.com/clairemao78", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bc8742026b7ae3d795367ca9cbc052f0035d9c3.jpg" }, { "user_id": 2386225, "full_name": "Lucy Cai", "title": "Founder/CTO", "founder_bio": "MIT CS + AI. Robotics research @ MIT LIS Lab; prev @ SpaceX, Amazon (AWS)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucy-cai/", "x_url": "https://x.com/LucyCai9", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e3c58d6a8b486439a545ea902cf0dd6981d51ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105382, "title": "Instance: Automated evaluation for robot policies, starting with the success detector", "tagline": "Today, evaluating a robot policy means humans have to watch the robot roll out, mark success, and reset the scene – we're automating that.", "body": "**TL;DR:** We’re **automating robot evaluation**– the loop where you wait for your robot to roll out, judge its success, and then reset the scene. Today, we’re launching step one: a **success detector** that automatically tells you whether your robot actually completed its task. Book a demo with [founders@instancelabs.ai](mailto:founders@instancelabs.ai) and we’ll visit your office to show you how it works!\n\n\n\n**The problem**\n\nIn Lucy’s robotics research this past year, she **spent way too much time being a babysitter for her robot**. Her project was to get a humanoid to find objects around a room, so her days went like this: start a rollout, watch the robot open all the drawers in the room for 30 minutes, mark success/fail in a spreadsheet, then get up, close all the drawers, and put the objects back where they started. Then do it again, and again, and again. Some days ended with back pain, and for weeks she couldn’t work on anything else because she was stuck doing exactly this.\n\nThat was one robot, in one lab, running a single policy. Industry teams run fleets of robots across dozens of policies, with **multiple people assigned to sit and watch each one**. Every robotics team we’ve talked to has some version of this– and it will only grow as robot foundation models scale.\n\n**Our solution**\n\nInstance is building the **autonomous evaluation rig for robot learning**: your robot rolls out, we judge success, a second robot resets the scene, and the next rollout starts– with no humans in the loop at all.\n\nToday, we’re starting with the success judge. Point us at a task description and your video rollouts, and we return a verdict with detailed subtask captions. We benchmarked our verifier against 10,000+ held-out, human-labeled episodes across 7 robot platforms, and it resulted in **higher accuracy than Claude Opus 4.8, at a fraction of the latency.**\n\n**Try it**\n\nTry it at [demo.instancelabs.ai](http://demo.instancelabs.ai) – drop in a video, or record one from your phone and watch it get verified live.\n\n**Team**\n\nWe’re Claire and Lucy, MIT grads and friends since middle school! \n\nClaire studied math and CS at MIT. At NASA JPL, she built software to simulate planetary atmospheres, and at the MIT Media Lab, she researched sustainable propulsion for spaceflight. She loves working where software meets the physical world.\n\nLucy studied CS at MIT and completed her MEng in MIT's Learning and Intelligent Systems lab. She’s an experienced robotics researcher, and has in the past worked on satellite software at SpaceX, LLM unit testing at Amazon, and brain computer interfaces at Blackrock Neurotech.\n\n**Our ask**\n\nIf you are:\n\n* training robot policies\n* running evals\n* deploying robots in the real world\n* or can intro us to someone who is,\n\nEmail us ([founders@instancelabs.ai](mailto:founders@instancelabs.ai)) to book a demo. We’d love to swing by your office with sweet treats to show you how it works!\n\n![uploaded image](/media/?type=post&id=105382&key=user_uploads/3107325/d03f1074-ae6e-4ab3-acdd-81ff69be93b6)\n\n", "url": "https://www.ycombinator.com/launches/RPi-instance-automated-evaluation-for-robot-policies-starting-with-the-success-detector", "votes": 36, "created_at": "2026-07-13T20:48:30.605Z" } ] }, { "id": 31366, "name": "Nine Fives", "slug": "nine-fives", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.png", "website": "https://ninefives.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Nine Fives produces modern radio frequency test equipment and solutions to disrupt the $130B test equipment industry. By combining modern electronics, AI ready test automation, and strategic supply chains, we’re equipping our customers to cut their time to market in half.", "one_liner": "RF test equipment for next-gen spacecraft, drones, and cellphones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775260036, "tags": [ "Hard Tech", "Aerospace", "Telecommunications" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nine-fives", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/nine-fives.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nine-fives/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2413649, "full_name": "Noah Levy", "title": "Founder/CEO", "founder_bio": "Calibrated largest phased array in SpaceX history, designed Starship primary RF hardware, worked on radar altimeter for Falcon 9 and S-Band Transceiver for Dragon 2 capsule. I am not a fan of modern RF test equipment from legacy vendors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noahmslevy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4824d2f4b270789c6f137b5e6d9e0e7fb040ee1a.jpg" }, { "user_id": 3423274, "full_name": "Andrew Kurtz", "title": "Founder", "founder_bio": "I spent the last 9 years as a mechanical engineer working on a wide variety of aerospace products. Now building better test equipment with Nine Fives", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-e-kurtz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/396d9cf39bf31b1e84877f58de6d522a30909c63.jpg" } ], "jobs": [ { "id": 97341, "title": "Founding Electrical Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/hDQM135-founding-electrical-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "Linux", "Embedded Linux", "Firmware", "Prototyping", "PCB design" ] }, { "id": 99344, "title": "Founding RF Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/dkS9aeZ-founding-rf-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Git", "Go", "MATLAB", "Python", "Embedded Linux", "Firmware", "PCB design", "FPGAs", "Altium" ] } ], "news": [], "launches": [ { "id": 101602, "title": "Nine Fives - Simple, Networked, Driverless RF Test Equipment", "tagline": "Test hardware for companies that can’t wait for their test equipment to catch up.", "body": "**TL;DR: Nine Fives makes test equipment for manufacturers of radio devices in cellphones, drones, or satellites.**\n\n[https://www.youtube.com/watch?v=7vtMt6-0SvY](https://www.youtube.com/watch?v=7vtMt6-0SvY%3C/video%3E)\n\n**Problem:** You are a hardware engineer holding up a billion dollar satellite constellation or slipping a cellphone release date because the legacy test equipment in your production line was designed around the January 1997 revision of the USB Human Interface Device specification and the firmware hasn’t been updated since then.\n\nYour AI agent is blissfully unaware of how this thing works because the “documentation” is hidden in a PDF on a password protected FTP server. After the legacy vendor left your email on read for a week they gave you access and sent you a [VB.NET](http://VB.NET) script that they think should work. You ran it and now all 8 of that vendor’s devices in your rack have tried to enumerate as “COM11” in device manager. Now you have 8 broken pieces of equipment instead of just 1!\n\n**Solution:** We’re Noah Levy and Andrew Kurtz and we are building Nine Fives. Together we have spent a decade at SpaceX designing radio frequency hardware and test systems for multi-million dollar products. Our equipment is driverless, touchscreen enabled, and uses a single, machine-readable, API with both REST and SCPI endpoints.\n\nEvery module we build works as a standalone product, but if you use our rack-mountable data and power backplane then you can take advantage of our NineVue web-app for generating easy-to-maintain, machine-readable rack configuration and our [skill.md](http://skill.md) so that your AI agent can finally understand your test system and write your test software. \n\n**Get off the critical path and reduce your production readiness timeline from months to minutes.**\n\n![uploaded image](/media/?type=post&id=101602&key=user_uploads/2413649/0e5ea814-ed4c-4e37-be4c-2ea0f93f59a5)\n\n", "url": "https://www.ycombinator.com/launches/QQk-nine-fives-simple-networked-driverless-rf-test-equipment", "votes": 12, "created_at": "2026-05-21T02:28:09.859Z" } ] }, { "id": 31369, "name": "InLoop Robotics", "slug": "inloop-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.png", "website": "https://inloop-robotics.com/", "all_locations": "BY, Germany", "long_description": "We are building AI-native fulfillment powered by robotics.\r\nWarehouses without human labor that get better, faster, and cheaper with every order.\r\n\r\nMost robotics companies wait until their system is perfect before deploying. We don't. We ship imperfect policies into real warehouses, detect failures in real time, recover automatically when we can, and bring in a remote human operator when we can't.\r\n\r\nEvery failure becomes training data. Every intervention makes the system better. The result is a fulfillment system that continuously learns from production.", "one_liner": "Robotic arms that pick and pack your orders.", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774801488, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inloop-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/inloop-robotics.json", "year_founded": 2026, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/inlooprobotics", "x_url": "https://x.com/InLoopRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2674432, "full_name": "Zakariea Sharfeddine", "title": "Founder/CEO", "founder_bio": "Building the future of embodied AI with an ML background at Bosch and BMW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zakariea-sharfeddine", "x_url": "https://x.com/Zakariea_sh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8ba4ccb057236c1cfeb16157bee2771deadf30.jpg" }, { "user_id": 3333534, "full_name": "Stepan Feduniak", "title": "Founder/CTO", "founder_bio": "Did robot learning research at KIT and TUM at 18 on VLA models and reinforcement learning. Previously: olympiad mathematics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stepan-feduniak-b33045276/", "x_url": "https://x.com/FeduniakS", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd70a752260339c439db7e420391781ff0c980b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101547, "title": "InLoop Robotics - Staff your warehouse with robots today", "tagline": "We deploy robotic employees that pack, kit, and fulfill - billed monthly, no capex.", "body": "**TL;DR**\n\n**InLoop deploys robot employees you can hire by the month.** Our intelligent robotic arms pack, kit, and fulfill in warehouses, fulfillment centers, and factories. **We handle everything** else. Paid pilots **live in customer warehouses today**: **300+ picks/hour, generalizing across hundreds of SKUs**, **replacing** $100k+ integration projects per station.\\\n\\\n**_Ask:_** If you run ops at a warehouse, fulfillment center, or factory - what's the one repetitive task you wish a robot could just _do_ tomorrow? Tell us. We'll show you how: [https://www.inloop-robotics.com](https://www.inloop-robotics.com/)\n\nOur launch video:\\\n\\\n\\\n**Problem**\n\n**Repetitive manual work in warehouses is the most expensive labor problem nobody has solved.**\n\n* Ops leaders hire more than they operate: Warehouse turnover runs \\~49% annually and exceeds 100% at peak-volume sites; peak season can't be staffed at any price.\n* Existing automation breaks the moment your catalog shifts: traditional systems cost $200k–$1M+ upfront and lock you to a single set of SKUs\n* The math doesn't work: ops leaders spend more time hiring than running the line, and most fulfillment still runs on humans doing the same six motions, 8 hours a day\n* AI hasn't reached the physical world yet: software ate every digital workflow; the warehouse floor is still humans + conveyor belts\n\n**Solution**\n\n**You pick a task - packing, kitting, induction, palletizing. We deploy a robotic arm trained on it within weeks. It learns continuously. You pay a flat monthly fee.**\n\n* **One policy handles thousands of SKUs.**\n* **Human-in-the-loop teleop:** when the robot hits an edge case, a remote operator takes over control and your line never stops\n* **Adapting to individual requirements: Quality, Speed and Reliability**\n* **Zero capex, zero integration risk:** we ship it, run it, retrain it. Scale up or down with demand\n\n ![uploaded image](/media/?type=post&id=101547&key=user_uploads/2650485/6ce2b445-5f6a-4371-876c-e1251a0d4caa)\n\n \\\n **This is the team building the next great robotics company.** Customers, investors, future teammates - if you want to be in, let's talk. → **join the Loop!**", "url": "https://www.ycombinator.com/launches/QPr-inloop-robotics-staff-your-warehouse-with-robots-today", "votes": 9, "created_at": "2026-05-19T14:27:33.732Z" } ] }, { "id": 31374, "name": "Tenet Industries", "slug": "tenet-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "website": "https://www.tenetindustries.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Tenet Industries is building AI-automated factories for electronics manufacturing services.\r\n\r\nWe're using AI and robotics to build a factory in München for instant-quote, fast-turnaround PCB Assembly and electronic manufacturing services.", "one_liner": "AI-automated factory for PCBAs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775173231, "tags": [ "Hardware", "Manufacturing", "Automation", "Electronics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tenet-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tenet-industries.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/tenet-industries-ab/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed09a12073ae1ca655b04908a899478f377abca8.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3351069, "full_name": "Emil Falk", "title": "Founder/CEO", "founder_bio": "Building Tenet: ultrafast, cheap and instant-quoted PCBAs in Europe with amazing developer tools & APIs.\n\nTwo-time hardware founder with an exit in a hardware startup. Grew up in a machining shop in Sweden. Stockholm School of Economics dropout. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emilfalk/", "x_url": "https://x.com/falkemil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d442cfd078bc68961d3553d7f857be44b0af1fb9.jpg" }, { "user_id": 3398084, "full_name": "Fabian Andersson", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Used to build firmware and hardware for rockets and guidance systems. Dropped out of Aerospace Engineering at KTH. Ran a chicken farm at 11.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fanderssons/", "x_url": "https://x.com/0xfabian_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff800c4c997be29d743a213138a5f543a18edc.jpg" }, { "user_id": 3336958, "full_name": "Hugo Frisk", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Previously built production lines at Teenage Engineering. Built rockets and electronics at ÆSIR. Dropped out of engineering physics at KTH. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-frisk/", "x_url": "https://x.com/PepperoniPingu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dedc99c702850fd8f6aa424807cc1a74a43355d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31400, "name": "shotwell.ai", "slug": "shotwellai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.png", "website": "http://shotwell.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shotwell AI is building the data QA layer for dexterous robotics. We work with teams collecting teleoperation and egocentric data to provide dense semantic annotation and validate task adherence. This lets teams compress feedback loops from weeks to hours and iterate on models much faster.", "one_liner": "Annotations for robotics data", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1780340127, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shotwellai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/shotwellai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shotwell-ai", "x_url": "https://x.com/ShotwellSt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1249194, "full_name": "Farhan Khan", "title": "Founder/CEO", "founder_bio": "Previously worked on humanoid robots at Sunday Robotics and self-driving cars at Tesla", "is_active": true, "linkedin_url": "https://linkedin.com/in/fkhan0520", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2d1ea27b54f3adb7693664f3a1426030c46f19d.jpg" }, { "user_id": 324918, "full_name": "Ali Abdalla", "title": "Founder", "founder_bio": "Previously: co-founded Gradio which was acquired by Hugging Face and used by >1M developers a day, Tesla, MIT. ", "is_active": true, "linkedin_url": "http://linkedin.com/in/aliabd", "x_url": "https://x.com/si3luwa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a3f6c0503be91b9c0710284ea7c10fe29d97ab9.jpg" }, { "user_id": 324948, "full_name": "Ali Abid", "title": "Founder/CTO", "founder_bio": "Previously found Gradio (acq. by HuggingFace)\nNow interested in robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aabid94/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af052e6fb3142dcd4cff1ce1eec43bb8e4a3861d.jpg" }, { "user_id": 1374486, "full_name": "Nour Eldifrawy", "title": "Founder", "founder_bio": "Currently working on unlocking robotics teams. \nFormerly @ Merge.dev, Roblox, Tarjimly (yc w18)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noureldifrawy", "x_url": "https://x.com/neldien_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/780009444788c8eb9e06c878df184c0d04add76d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31415, "name": "Synphony", "slug": "synphony", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.png", "website": "https://www.synphony.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Strawberry farming is a $3B industry in California alone with 60% labor cost using 40-year old software. Synphony provides strawberry picking robots and software services including: bed-level analytics, data pipeline integration, and agentic solutions.\r\n\r\nSynphony's \"side hustle\" is selling data, evals, and viral demos to robot foundation labs while building capacity for general robot deployments. We've started with strawberry farming for great margins and outdoor data moat, but also received requests for robots in semi-conductors and autonomous space labs. \r\n\r\nSynphony's team has won over 15 hackathons together (taking home 4 Jensen-signed GPUs!). Sean did ML research at NVIDIA and led AI products used by IRS and Citibank. Lucas' research spanned robotics, IoT devices, and neuromorphic computing. Alex architected an app with 400k users. ", "one_liner": "robots & software for farms", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778272380, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synphony", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/synphony.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109990424", "x_url": "https://x.com/im_sean_wu", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2518723, "full_name": "Sean Wu", "title": "Founder/CEO", "founder_bio": "prev. NVIDIA AI & Stanford Bio Research\nvisited 25 countries, wrestled for 7 years, saved 3 lives, and won 5 hackathons\nlet's talk! https://calendly.com/sean-synphony/week-of-6-15-synphony-yc-26-fundraising-chat", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seanwu2027/", "x_url": "https://x.com/im_sean_wu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cb4e5dc190e3631bb87ea9d34a311aef8182664.jpg" }, { "user_id": 2385109, "full_name": "Lucas Amlicke", "title": "Founder/CTO", "founder_bio": "Pursued research in neuromorphic computing, Human AI system optimization, and IoT cybersecurity during my undergrad at Santa Clara University for computer science and engineering. \nI always want to be on the cutting edge of technology so I can push the envelope of what is feasible. I like putting the latest tools to the test for improving my efficiency.\nCurrently I'm focused on leveling up physical intelligence to make robots into co-workers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-amlicke/", "x_url": "https://x.com/lukeamlicke", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb82fd000c915a8d8b0fabed99d06c21bb023a7c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101718, "title": "Synphony - Automating Agriculture With Robots", "tagline": "Deploying Robots to Strawberries & Beyond", "body": "We're building robots that pick strawberries.\n\nCalifornia strawberries are a $3B industry. \\~60% of that is labor cost — and that cost keeps climbing while the workforce shrinks. Growers are losing harvests they can't afford to pick. We’re working with California’s largest strawberry producers to solve this problem.\n\nWe send robots into the field to pick the fruit. Lower cost per pound, higher yield per acre, and software that finally replaces tools the industry has been running on for 40 years.\n\nRobots just hit the crossover point with field labor. Strawberries are the wedge. Berries are $15B. Every other outdoor task — row crops, manufacturing lines, defense, anywhere robots have to actually show up and work — runs on the same deployment layer.\n\nSynphony (YC W26). If you grow berries, invest in robotics, or want to build robots that do real work outdoors, let's talk.\n\n\n\n![uploaded image](/media/?type=post&id=101718&key=user_uploads/2518723/cdf4be8c-95d2-4a9d-b99c-922620648838)\n\n", "url": "https://www.ycombinator.com/launches/QSc-synphony-automating-agriculture-with-robots", "votes": 11, "created_at": "2026-05-21T18:47:32.397Z" } ] }, { "id": 31419, "name": "StableBrowse", "slug": "stablebrowse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.png", "website": "https://stablebrowse.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Building the Data Infrastructure layer for Physical AI. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774843315, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stablebrowse", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/stablebrowse.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stablebrowse/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1022491, "full_name": "Deepit Shah", "title": "Founder/CEO", "founder_bio": "Founder @ StableBrowse | Ex-Amazon | UIUC - CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/deepit-shah/", "x_url": "https://x.com/deepitshah5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f33bf28206493d6e6f6096a4ba197395c3295386.jpg" }, { "user_id": 1788727, "full_name": "Jay Mehta", "title": "Founder/CTO", "founder_bio": "StableBrowse | Ex-Amazon | Purdue CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaymehta003", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b4f29d89bb0329510b299a3749a8a2b49b50e88.jpg" }, { "user_id": 1853933, "full_name": "Somansh Shah", "title": "Founder/COO", "founder_bio": "buildling @StableBrowse | Ex-Amazon | Ex-Founding Eng", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/somanshshah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/840cfefca7cfc1389c83e7ce0658b8c0588e1087.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101987, "title": "StableBrowse - Browser Layer For AI Agents", "tagline": "We enable agents to navigate the web with 70% fewer tokens and 4x faster execution.", "body": "**TL;DR**: StableBrowse is the browser layer for AI agents. We transform dynamic websites into structured knowledge graphs that capture how sites truly work, giving agents persistent memory to complete tasks reliably without starting from scratch every time.\n\n**Ask**: If you’re building agents that browse the web, scrape data, fill forms, monitor prices, or work inside authenticated portals, we’d love to talk! Reach us at [team@stablebrowse.ai](mailto:team@stablebrowse.ai) or schedule a demo at [stablebrowse.com](http://stablebrowse.com).\n\n\n\n**Problem**: AI agents are increasingly being used for real web workflows like tracking competitor pricing, applying for loans, updating CRM records, booking travel, submitting expense reports, and navigating legacy enterprise systems.\n\nMost browser agents still treat every interaction like it’s the first time, repeatedly asking an LLM what to click next. This works in demos, but breaks in production because websites constantly change through:\n\n* Pop-ups and modal interruptions\n* Login and authentication flows\n* Slow-loading dropdowns and forms\n* Layout and UI updates\n* Dynamic page behavior\n\nAs a result, agents become unreliable, expensive to run, and difficult to scale across real-world workflows.\n\n**Solution**: StableBrowse gives AI agents persistent memory of how websites actually work by converting websites into structured execution graphs. Instead of rediscovering workflows every run, StableBrowse learns websites once and reuses that knowledge across future executions.\n\nWe convert pages into structured states, turn buttons and forms into reliable actions, extract clean structured data instead of raw HTML, and detect when websites change to keep workflows reliable over time.\n\nAt runtime, StableBrowse handles:\n\n* Navigating known workflows\n* Filling forms and completing submissions\n* Extracting clean, structured data\n* Handling date pickers and dropdowns\n* Detecting when websites change\n* Returning usable outputs instead of raw HTML\n\nThis allows the LLM to focus on user intent instead of fragile browser interactions. The results are dramatic: 70–80% lower token usage, 3–4× faster workflows, and up to 98% success rate.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/3903c45b-f3a3-4e2d-84dd-f2bb28a9eaf2)\n\n\\\n**Background**: We started StableBrowse after running into these same frustrations ourselves while building browser agents. Our team brings experience from Amazon (agentic commerce), AWS EC2 Nitro, applied AI research, and multiple fast-growing startups.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/6d012d9d-28ba-49a0-98f2-bcc1e03b979d)\n\n", "url": "https://www.ycombinator.com/launches/QWx-stablebrowse-browser-layer-for-ai-agents", "votes": 37, "created_at": "2026-05-26T19:48:52.452Z" } ] }, { "id": 31436, "name": "Prototyping.io", "slug": "prototypingio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.png", "website": "https://www.prototyping.io", "all_locations": "San Francisco, CA, USA", "long_description": "Prototyping.io turns CAD designs into real mechanical parts through an AI-driven manufacturing system. We analyze designs for manufacturability and automate production workflows to deliver high-quality parts faster and at lower cost.\r\n", "one_liner": "Autonomous manufacturing for mechanical parts", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774425608, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prototypingio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/prototypingio.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prototyping-io", "x_url": "https://x.com/prototyping_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 3328377, "full_name": "Revanth Bodepudi", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Prototyping.io\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/revanth279/", "x_url": "https://x.com/revanth279", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6262443f88c0ccefeb0412b20e0754186b3006a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100912, "title": "Prototyping.io - Autonomous Manufacturing for Mechanical Parts", "tagline": "AI-driven manufacturing system that turns CAD designs into high-quality mechanical parts as fast as one day", "body": "# \n\n**TL;DR**\\\n[Prototyping.io](http://Prototyping.io) is rebuilding the design-to-manufacturing workflow from the ground up with an AI-driven approach, automating the path from CAD design to production at scale.\n\n\n\n**The Problem**\\\nOver $1T is spent annually on mechanical part manufacturing, yet the process remains largely manual.\n\nGetting parts made still takes weeks, often with high costs and inconsistent quality. Manufacturers spend days on DFM, sourcing, programming, and setup planning before production even starts. These delays slow hardware companies down and stretch product iteration cycles.\n\nBuilding locally is still expensive, largely due to fragmented operations and low machine utilization. Many companies look offshore for lower pricing, but shipping timelines, tariffs, and supply chain delays often slow product development even further.\n\n**What We’re Building**\n\n[Prototyping.io](http://Prototyping.io) is building autonomous manufacturing for mechanical parts by automating the workflow between CAD designs and finished parts.\n\nThe workflow today looks like:\n\nCAD → DFM → Planning → Sourcing → Programming → Setups → Manufacturing Execution\n\nThis workflow is being rebuilt with AI-native systems and physical AI models for manufacturing.\n\nOur approach combines AI-driven manufacturing intelligence, workflow automation, and eventually autonomous execution through industrial robotics and highly automated production systems. The goal is to dramatically reduce lead times, improve quality consistency, and enable more efficient manufacturing at scale.\n\n**What We’re Seeing**\n\nDemand for faster and more reliable manufacturing is growing across robotics, AI infrastructure, energy, automotive, defense, and other industries.\n\nWe’re already helping companies ranging from early-stage startups to multi-billion dollar enterprises reduce hardware iteration cycles from weeks to days by delivering high-quality parts for prototyping and early production.\n\n**If This Resonates**\n\nIf you’re building hardware and want to move faster, we’d love to work with you.\n\nIf you’re interested in robotics, physical AI, manufacturing automation, or autonomous manufacturing and want to join the [Prototyping.io](http://Prototyping.io) team, we’d love to talk.", "url": "https://www.ycombinator.com/launches/QFc-prototyping-io-autonomous-manufacturing-for-mechanical-parts", "votes": 16, "created_at": "2026-05-07T14:20:20.316Z" } ] }, { "id": 31456, "name": "General Instinct", "slug": "general-instinct", "former_names": [ "Bitstream" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.png", "website": "https://general-instinct.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Making robot post-training and deployment scalable.", "one_liner": "Deployment infrastructure for Physical AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779088548, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/general-instinct", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/general-instinct.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/general-instinct/", "x_url": "https://x.com/gen_Instinct", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2022270, "full_name": "Bill Jiao", "title": "Founder/CEO", "founder_bio": "worked on Siemens' first multimodal foundation model, secured 2 patents on tardigrade proteins as a junior in high school, now building edge intelligence for physical AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhandong-jiao", "x_url": "https://x.com/BillJiao930", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/524ded9c0f2c5c51662b75aa35a6b47d0230b153.jpg" }, { "user_id": 2697564, "full_name": "Guanming Wang", "title": "Founder/CTO", "founder_bio": "Ex Google DeepMind reinforcement learning researcher with robotics research published at ICRA at age 17. Previously conducted robotics research at UCL robotics institute and Tsinghua University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guanming-wang", "x_url": "https://x.com/Guanming717", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/229264e545e631dc6b28622345796c47929eedd6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101508, "title": "General Instinct - The deployment layer for physical intelligence", "tagline": "Deploy frontier AI models onto constrained edge hardware for robots, drones, and physical AI systems.", "body": "# \\*\\*\\*\\*\n\n**TL;DR**: General Instinct distill, quantize, and deploy large frontier AI onto limited hardware on drones, old PCs, and robots.\n\n![uploaded image](/media/?type=post&id=101508&key=user_uploads/2022270/81b34033-67b0-41d9-9f7a-563ed2884da3)\n\n**Problem**:\n\nPhysical AI (robots, drones, IoT) teams can now get frontier models to do impressive things in the lab. The hard part is getting those models to work reliably in production.\n\nSome common patterns:\n\n1\\. Models works well in the cloud, but fails on edge in production.\n\n2\\. Custom use-cases like robots operating in the wild or in space requires on device inference.\n\n3\\. Using Gemini for everything is simply too expensive.\n\nWe built a custom, no code pipeline to solve this problem.\n\n**What we’re building:**\n\nOur first product: **Instinct Edge**. Give us a model, a target device, and a latency budget. We return an offline runtime that hits the budget on hardware like Jetson, mobile NPUs, ARM CPUs, Apple Neural Engine, and Snapdragons.\n\nUnder the hood, this combines compression recipes, custom CUDA / Metal / ARM NEON kernels, and a continuous data-to-serving pipeline.\n\nOne production example: a multimodal classifier on Jetson Orin NX with 111 ms cold start, 100% of decisions inside a 150 ms budget, and zero cloud calls.\n\n**How you can help**:\n\nIf you or anyone you know are running large vision models on edge and are having problems fitting them onto your hardware, let us know by emailing [founders@general-instinct.com](mailto:founders@general-instinct.com)!\n\n", "url": "https://www.ycombinator.com/launches/QPE-general-instinct-the-deployment-layer-for-physical-intelligence", "votes": 10, "created_at": "2026-05-19T06:17:38.703Z" } ] }, { "id": 31465, "name": "Aseon Labs", "slug": "aseon-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.png", "website": "https://www.aseonlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Aseon Labs builds robotic pitstops for self-driving cars.\r\n\r\nAutonomous vehicles can drive themselves, but they still rely on humans and centralized depots for charging, cleaning and servicing multiple times per day. As fleets scale, the operational layer makes up 70% of the cost of the service and is of the largest barrier to uptime, profitability and market expansion.\r\n\r\nAseon Pods are robotic micro-depots that can be deployed directly within operating zones, bringing fleet servicing to where demand exists. By eliminating unnecessary depot trips and automating routine operations, Aseon helps autonomous fleet operators increase uptime, reduce reset cost by 50% and unlock scale.\r\n\r\nFounded by the team behind Pushme, which deployed 5,000 mobility infrastructure locations across 40 cities before its acquisition by TIER-Dott, Aseon is funded and building product in Redwood City for pilot deployment with major autonomous vehicle operators.", "one_liner": "Robotic pitstops for self-driving cars", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778523485, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aseon-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aseon-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aseon-labs/", "x_url": "https://x.com/aseonlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 180428, "full_name": "George Kalligeros", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I led a 100-person team and deployed $300M+ in fleet hardware as VP Hardware @ TIER-Dott. Started my career as a mechanical engineer @ Tesla.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kalligeros", "x_url": "https://x.com/kalligeros", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1037c0ba20b91a20fd9c522975ab165f3bfe1d01.jpg" }, { "user_id": 2699748, "full_name": "Dan Keene", "title": "Founder/COO", "founder_bio": "Cofounder & COO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I was CBO @ Superduper ($4B cross-chain infra) and led 20 markets @ Deliveroo (DoorDash). Started in M&A @ Greenhill & Co. and UBS / Credit Suisse.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dancbkeene/", "x_url": "https://x.com/keenebyname", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32403bb7de49b9384a9d2c4f77055e5a9b82f5c1.jpg" } ], "jobs": [ { "id": 94541, "title": "Senior Robotics Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/kHuQykj-senior-robotics-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$170K - $220K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96506, "title": "Founding Mechanical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/LQbGSh4-founding-mechanical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96507, "title": "Founding Electrical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/CmzAwOS-founding-electrical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98719, "title": "Mechanical Engineering Placement (6 Months), New Grad", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/KAqkZ7W-mechanical-engineering-placement-6-months-new-grad", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$8K - $10K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robotaxis drive miles just to get cleaned and charged; this new startup wants to fix that | TechCrunch", "url": "https://techcrunch.com/2026/06/26/this-silicon-valley-startup-has-raised-10m-to-build-pitstops-to-clean-and-charge-robotaxis/", "date": "Jun 26, 2026" }, { "title": "Atlanta puts robotaxi technology to the test - YouTube", "url": "https://www.youtube.com/watch?v=1697nkIVH-8", "date": "Jun 03, 2026" }, { "title": "TechCrunch Mobility", "url": "https://techcrunch.com/2026/05/17/techcrunch-mobility-the-ai-skills-arms-race-is-coming-for-automotive/#:~:text=Aseon%20Labs%2C%20a%20Redwood%20City%2C%20California%2C%20startup%20that%20has%20developed%20a%20depot%20in%20a%20box%20for%20charging%2C%20cleaning%2C%20and%20inspecting%20autonomous%20fleets%2C%20came%20out%20of%20stealth%20with%20undisclosed%20backing%20by%20Y%20Combinator.%C2%A0", "date": "May 17, 2026" }, { "title": "Can this Silicon Valley startup make autonomous fleets profitable? - Fast Company", "url": "https://www.fastcompany.com/91540540/can-this-silicon-valley-start-up-make-autonomous-fleets-profitable", "date": "May 13, 2026" }, { "title": "Welcome to Ground Truth | Introducing Aseon Labs", "url": "https://rideai.substack.com/p/welcome-to-ground-truth-introducing?utm_source=substack&publication_id=2261569&post_id=197665993&utm_medium=email&utm_content=share&utm_campaign=email-share&triggerShare=true&isFreemail=true&r=7z5ecj&triedRedirect=true", "date": "May 12, 2026" } ], "launches": [ { "id": 101210, "title": "Aseon Labs: robotic pitstops for self-driving cars", "tagline": "A depot in-a-box for charging, cleaning & inspecting autonomous fleets", "body": "**TL;DR:** Autonomous vehicles still rely on centralized, human-operated depots for daily charging, cleaning and servicing. Aseon builds robotic pitstops that let AV fleets reset directly inside the city, reducing downtime, dead miles and operating cost.\n\n\n\n## **❌ The problem**\n\nAutonomous driving is working. The operational layer around it is not.\n\nToday, autonomous vehicles regularly leave high-demand zones up to 3 times per day just to charge, clean and get inspected.\n\nMost fleets still rely on large, remote, human-operated centralized depots.\n\nThat means:\n\n* 10–15 mile roundtrips just to reset vehicles\n* vehicles out of operation for hours\n* up to 44% of vehicle time spent driving empty\n* as many as 1 in 3 vehicles unavailable during peak demand\n* reset costs that can exceed $100 per cycle\n\nFor autonomous fleets, uptime is revenue. But today’s operating model still looks like traditional depot logistics.\n\n## **✅ What we built**\n\nWe believe autonomous vehicles need autonomous operations, always available and distributed across the centre of the city.\n\nSo we built the Aseon pod: **a robotic pitstop station that bundles high-frequency depot workflows into a compact, rapidly deployable pod.**\n\nAseon Pods allow fleets to:\n\n* charge vehicles near demand\n* automatically clean interiors & exteriors\n* run inspection workflows between rides\n* access a reset within max. 2 miles of a vehicle’s location\n\nCompared to traditional depot operations, Aseon can:\n\n* reduce reset cost by up to 50%\n* reduce time out of service by up to 65%\n* increase revenue per vehicle by $50k+ per year\n\nAseon Labs is building a new category of infrastructure for autonomous fleets: robotic pitstops deployed directly where vehicles operate.\n\n![uploaded image](/media/?type=post&id=101210&key=user_uploads/180428/dacbddc1-d989-4d47-94b1-37c323826394)\n\n## **🧩 Why us**\n\nWe’re second-time founders, building together for the second time.\n\nOur previous company, Pushme, became the world’s largest battery-swap network for shared e-scooters and e-bikes, across 5,000 locations in 40 cities before being acquired by TIER-Dott ($600M raised).\n\nBefore Aseon:\n\n**George Kalligeros** led TIER’s 100-person hardware organization and deployed $300M+ in fleet hardware as VP Hardware; was a mechanical engineer at Tesla.\n\n**Dan Keene** scaled TIER energy network to 5k locations. He later served as CBO at Superduper ($4B infra). Prior to that he led 20 markets at Deliveroo (DoorDash) and worked in M&A.\n\n# **📣 Our Ask**\n\nWe’re currently building our founding team across robotics, hardware and ML.\n\nIf you know exceptional engineers working on robotics, autonomy, computer vision, hardware systems or industrial automation, we’d love an introduction.", "url": "https://www.ycombinator.com/launches/QKQ-aseon-labs-robotic-pitstops-for-self-driving-cars", "votes": 11, "created_at": "2026-05-11T20:18:54.868Z" } ] }, { "id": 31489, "name": "Eden Robotics", "slug": "eden-robotics", "former_names": [ "Eden Robotics Inc.", "Eden" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d14a9f773f254e36c45b6a27e9f082f69047340.png", "website": "https://www.edenrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We're building robots that just work and use them to deliver autonomous services at scale. Our first use case is semi-humanoid robots for manufacturing and logistics. Unlike traditional robotics companies, we don't sell robots, we provide physical agents for hire where companies pay for the robots based on usage, decreasing the barrier to entry and expanding the robotics market as a whole.", "one_liner": "Autonomous services for humanity.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775447037, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/eden-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/eden-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d14a9f773f254e36c45b6a27e9f082f69047340.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1956825, "full_name": "Stamatios Floratos", "title": "Founder/CEO", "founder_bio": "Founder of Eden. We are making robots that just work and using them to provide autonomous services at scale. I also bootstrapped a 7-figure B2B Adtech company at 13, working with influencers before it was cool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stamatis-floratos-535b19244", "x_url": "https://x.com/StamatisTWIY", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9d08f20fda0c945e553546a63c8d2b461647710.jpg" }, { "user_id": 2772947, "full_name": "Joseph Humphreys", "title": "Founder/CTO", "founder_bio": "PhD in robotics, published in Nature, worked on almost all robot morphologies, used to build on rocket engines.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-humphreys-1163b8150", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/113ef53dca8ae694be0e7a6d5d1d34200f2bdf98.jpg" } ], "jobs": [ { "id": 91495, "title": "Founding Communications Engineer", "url": "https://www.ycombinator.com/companies/eden-robotics/jobs/o06KKgL-founding-communications-engineer", "location": "San Francisco, CA, US / London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$65K - $120K", "equity_range": "0.25% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "TCP/IP", "Distributed Systems", "Packaging" ] } ], "news": [], "launches": [ { "id": 102020, "title": "Eden - Autonomous Services for Humanity", "tagline": "Autonomous robot employees.", "body": "We’re [Stamatios Floratos](https://www.linkedin.com/in/stamatis-floratos-535b19244) and [Joseph Humphreys](https://www.linkedin.com/in/joseph-humphreys-1163b8150) and we’d love to introduce you to [Eden](https://www.edenrobotics.ai/).\n\n**TL;DR**\n\nMajor labor shortages and the high cost of traditional automation make manufacturers and logistics companies hard and costly to operate efficiently. We provide plug-and-play robots as a service, working out of the box with no complex integration and charging based on hourly usage instead of large upfront setup costs.\n\n\n\n**Problem**\n\nThe world is facing a massive shortage of manual labour. It is hard to recruit and retain workers for factories and warehouses and even harder to scale. Traditional automation requires floor plan reworks, onsite engineers, high setup costs and takes 6-12 months to fully deploy. Most companies simply cannot stop their operations for this long and incur such high costs to implement automation and so are stuck in a perpetual vicious cycle of hiring short-term and scarce human labour.\n\n**Solution**\n\nWe are building robots that can be deployed instantly and work out of the box without any interruption in operations. They are semi-humanoid, which means they can fill positions designed for humans and can reliably perform any task which would take you less than 5-mins to explain to a new worker.\n\n\n\n**How we got here**\n\nWe care deeply about creating delightful customer experiences, and currently the robotics industry is anything but delightful. We think robotics have the power to transform the world and yet they consistently fall short of that promise due to an overemphasis on research and general capability over the customer. We decided to take a different approach and start by building the critical infrastructure that supports real world deployments, with real customers and work insanely hard to make robots ubiquitous and seamlessly woven into daily life.\n\n**The Ask**\n\nWe’re looking to speak to founders who’re building software or digital agents for factories, 3PL and warehouses to learn more about what they care about and look into potential integrations with our robot workers.\n\nReach out to us either on Bookface or through [founders@edenrobotics.ai](mailto:founders@edenrobotics.ai)\n\n![uploaded image](/media/?type=post&id=102020&key=user_uploads/1956825/84f4e974-9e78-47f9-9808-485cc7778005)\n\n", "url": "https://www.ycombinator.com/launches/QXU-eden-autonomous-services-for-humanity", "votes": 12, "created_at": "2026-05-27T14:20:14.932Z" } ] }, { "id": 31509, "name": "Rodeo Robotics", "slug": "rodeo-robotics", "former_names": [ "Lasso (temporary, naming conflict exists)", "Lasso" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed94f83ed341c4f879d7c08c2570c04ba145e07c.png", "website": "https://www.rodeorobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rodeo builds a robotic technician that automates maintenance so fleets can get vehicles back on the road sooner. Initial deployments focus on oil changes at centralized depots, where routine maintenance competes for scarce technician time.\r\n\r\nCofounders Michael Hazard and Colby Duke met at Applied Intuition, where they worked with OEMs like Toyota and General Motors to bring software and autonomy to vehicles. They saw firsthand how much manual work it takes to keep vehicle fleets running, and learned how to make autonomy reliable through structured testing, real-world data, and human intervention.\r\n\r\nThey’re now applying their experience to the roughly $600B annual US vehicle maintenance market. The average US vehicle is older than ever, driving up maintenance demand at a time when shops already struggle to hire and retain technicians. That gap leaves fleets facing costly downtime and preventable breakdowns.\r\n\r\nDespite this need, vehicle maintenance has resisted traditional automation. Service information is fragmented and unreliable, and vehicle hardware varies significantly between makes and models. Rodeo builds on advances in robotic foundation models to learn maintenance skills that transfer across vehicles.\r\n\r\nRodeo pairs robots with human technicians who ensure each job is completed correctly, handling work the robots can’t yet perform autonomously. These deployments generate training data for Rodeo’s models through both teleoperation and hand tools augmented to record how technicians work. This lets Rodeo earn revenue while collecting the data needed to automate more of each job and improve margins.", "one_liner": "Robots for vehicle maintenance.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1791737469, "tags": [ "Hard Tech", "Robotics", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rodeo-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rodeo-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed94f83ed341c4f879d7c08c2570c04ba145e07c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1723748, "full_name": "Michael Hazard", "title": "Founder/CEO", "founder_bio": "Building robots for vehicle maintenance. Four years at Applied Intuition bringing software and autonomy to vehicles. Google APM. Stanford CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-hazard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1236858457295e3981b938e3e2d34b656f23c372.jpg" }, { "user_id": 2583456, "full_name": "Colby Duke", "title": "Founder/CTO", "founder_bio": "Building robots for vehicle maintenance. Previously the tech lead of Applied Intuition's neural simulation team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colby-duke/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64bba9bf9ad1bada6772cc26492eff670a931e2f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31530, "name": "Avea Robotics", "slug": "avea-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.png", "website": "https://www.avearobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We built the fastest software to control robots from anywhere in the world. We make it possible for robotics companies to keep their robots at 100% uptime, and intervene instantly when a failure occurs. ", "one_liner": "The human-in-the-loop system for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779165169, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/avea-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/avea-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avea-robotics/", "x_url": "https://x.com/AveaRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2215628, "full_name": "Ary Indarapu", "title": "Founder/CEO", "founder_bio": "Ary is the co-founder and CEO of Avea Robotics. His mission is to accelerate the future of autonomous robotics by getting robots out of the lab and into the field.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryanindarapu/", "x_url": " https://x.com/aryind_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e9550f0a3ea56d52319495e2e27e34621e309d.jpg" }, { "user_id": 2249924, "full_name": "Vikram Vadrevu", "title": "Founder/CTO", "founder_bio": "Co-founder of Avea Robotics, building high-performance, low-latency software for modern robots. Aerospace + embedded software engineer from UIUC; previously wrote flight software for NASA and DoD satellites. Interested in robotics, physical AI, infrastructure, composite materials, and the state of the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vikramvadrevu", "x_url": "https://x.com/vikramvadrevu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60917f4e7be5b5cd940400b71a1e875d78e26503.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102363, "title": "Avea Robotics - The human-in-the-loop system for robots", "tagline": "Remote teleop intervention to keep your robots at 100% uptime", "body": "Hi! We’re Ary and Vikram. We graduated from UIUC and moved to SF last summer with a mission to get robots out of the lab and into the field, doing real work. Now, we’re at 18k MRR and helped deploy nearly 30 robots!\n\n![uploaded image](/media/?type=post&id=102363&key=user_uploads/2215628/e3932dd6-69d1-46d6-b42c-568c050068b4)\n\n**What’s the problem?**\n\nRobots aren't perfect- they make mistakes and get stuck in edge cases. That means lost time, and on a factory floor or inside a logistics warehouse, that can translate to thousands of lost dollars. Keeping on-site staff on standby just to babysit them kills ROI and the deployment.\n\n**What’s the solution?**\n\nOur product, Sentinel, allows operators to remotely teleop their robots so they can intervene and keep robots running at 100% uptime. Our software is ultra low-latency, meaning operators can react to the environment in near real-time.\n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Launch Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**Our take:** Robotic AI models will never get better if they just sit in the lab. Deployments are the bottleneck for autonomous robots; that’s why we’re building Avea! \n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company that uses teleoperation, please reach out.", "url": "https://www.ycombinator.com/launches/Qd1-avea-robotics-the-human-in-the-loop-system-for-robots", "votes": 13, "created_at": "2026-06-01T15:10:19.277Z" }, { "id": 101616, "title": "Avea Robotics - Control robots from ANYWHERE in the world", "tagline": "Ultra low-latency VR teleoperation to help you scale your robots.", "body": "**TLDR;** Avea builds ultra low-latency teleop software that allows robotics companies to remotely control their robots using VR headsets.\n\n![uploaded image](/media/?type=post&id=101616&key=user_uploads/2215628/66a8757b-ba8a-4a6c-b573-688aba5ad815)\n\n**What’s the problem?**\n\nWhen autonomous robots get stuck during deployment, teleoperation is used to recover them and capture that edge case. Today, that means keeping on-site staff on standby just to babysit deployments. It’s not scalable and hurts ROI, causing deployments to stall.\n\nOther remote teleop softwares are clunky and unreliable for real-time control.\n\n**What’s the solution?**\n\nSentinel allows operators to remotely teleop their robots so they can intervene when autonomy breaks down. Our software has ultra low-latency, meaning operators can react to the environment in near real-time. \n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Demo Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**A bit about us:**\n\n* We moved to SF right after graduating from UIUC last year to work on Avea\n* We’ve been doing robotics since high school (shoutout FIRST!)\n* We're on a mission to get robots out of the lab and into the real world\n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company, please reach out.", "url": "https://www.ycombinator.com/launches/QQy-avea-robotics-control-robots-from-anywhere-in-the-world", "votes": 16, "created_at": "2026-05-20T01:41:28.008Z" } ] }, { "id": 31560, "name": "Intelligence Factory", "slug": "intelligence-factory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.png", "website": "https://intelligence-factory.com", "all_locations": "New York City, NY, USA", "long_description": "Robotics is the new paradigm. With hardware converging, Intelligence is the biggest bottleneck. Our world was built for humans and we're giving robots the ability to reason and act like us. \r\n\r\nThe way we learn any task - by seeing, doing, and feeling - is how we train robots. We're building general intelligence that works on any robot and fits seamlessly within our world.", "one_liner": "Human Intelligence for Robots", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1777499618, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/intelligence-factory", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/intelligence-factory.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/intelligence-factory/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3245378, "full_name": "Yash Sinha", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO - Intelligence Factory. Robotics ETH Zurich. Ex-Founder/CTO Kaio Labs. F1 Simulation Engineer. On a mission to unlock generalized robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yash-sinha-556b411b3/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b6df01e11338fc39fe9c417c5b75436191063b6.jpg" }, { "user_id": 3417788, "full_name": "Jalaj Shukla", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Intelligence Factory - Unlocking Robotics\nPreviously: MTS (Manipulation, VLA, Controls) at Dimensional, Sr. Robotics Engineer (Manipulation) at Blue Sky Robotics, CV Engineer at Applied Materials, R&D SWE at Ansys. MS in Robotics & Mechatronics from UPenn, GRASP Lab RA on multimodal manipulation policies. Earlier, worked as Research Fellow at DRDO, Ministry of Defence.\nLove cooking and exploring new places, active meditator and poet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jalaj-shukla-635005167/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56b077a861b87f4774c26d892395c64cd4b34085.jpg" } ], "jobs": [ { "id": 93968, "title": "Founding Engineer: Manipulation", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/gTQaSpW-founding-engineer-manipulation", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$80K - $200K", "equity_range": "0.10% - 2.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 100368, "title": "Data Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/X8JNksS-data-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "₹1.5M - ₹4M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "Torch/PyTorch", "Multimodal AI" ] }, { "id": 106818, "title": "GTM/Operations Intern", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/HkPFlZx-gtm-operations-intern", "location": "New York, NY, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106819, "title": "Mechanical Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/RADFs9S-mechanical-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1M - ₹2M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Prototyping" ] } ], "news": [], "launches": [ { "id": 102271, "title": "Intelligence Factory", "tagline": "Human Intelligence for Robots", "body": "Intelligence Factory is building human intelligence for robots.\n\nRobotics hardware is converging, and intelligence is the biggest bottleneck.\n\nWe are building general-purpose manipulation intelligence that makes robots work in diverse and unconstrained environments. Our models are trained on human demonstration data captured in our data factories. In these facilities, humans perform a wide variety of tasks while wearing our custom-built gloves, which capture what they see, do, and feel.\n\nWe retarget human motion to robot motion to deploy our models on a variety of robot hardware, from 5-finger dexterous hands to grippers.\n\nWe are deploying in warehouses, grocery stores, and data centers. As our data scales in volume and diversity, we will build models that generalize to any task, object, and environment.\n\nWe're building embodied intelligence: robots that reason like humans and fit seamlessly within our world.\n\nYash and Jalaj have spent the last 5 years deploying robots in the real world, working across the robotics pipeline from data collection and model building to last-mile deployment.\\\n\\\n", "url": "https://www.ycombinator.com/launches/QbX-intelligence-factory", "votes": 33, "created_at": "2026-05-30T04:57:06.187Z" } ] }, { "id": 31569, "name": "Proprio Robotics", "slug": "proprio-robotics", "former_names": [ "Proprio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aeac99898de10d679342b3768b7bc6047f56469.png", "website": "https://www.propriorobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Proprio Robotics is building state-of-the-art physical intelligence to automate the entire data center lifecycle—from buildout to maintenance to decommissioning. There are currently 400,000 unstaffed data center technicians positions in the United States alone, which means the massive compute needs of AI are being bottlenecked by labor constraints. Proprio is solving this by building robots that do it instead, and is deploying data center maintenance robots starting Q1 2027. ", "one_liner": "Robots to maintain and assemble data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784630562, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/proprio-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/proprio-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proprio-robotics", "x_url": "https://x.com/ProprioRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aeac99898de10d679342b3768b7bc6047f56469.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2910355, "full_name": "Anirudh Pai", "title": "Founder/CEO", "founder_bio": "Founder, CEO of Proprio\nEECS M.S @ U.C Berkeley BAIR\nComputer Vision & Dexterous Robotic Manipulation", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/apai25", "x_url": "https://x.com/apai253", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7ea9eb84630296f5984aa38b7f2f590f6b9f920.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106864, "title": "Proprio Robotics - Autonomous Data Centers", "tagline": "Autonomous robots to build, maintain, and decommission data centers.", "body": "\n![uploaded image](/media/?type=post&id=106864&key=user_uploads/2910355/e9094f01-f5e9-4c30-93c6-81d8f041957d)\n\n### **Physical AI for Data Centers**\n\nOver the next five years, more than $7 trillion is projected to flow into data center buildout. But the supply chain is still heavily manual and fragmented, and can’t keep pace with current demand. **Proprio Robotics** is building autonomous robots for the entire data center lifecycle—assembly, maintenance, and decommissioning.\n\nSee our [launch video!](https://www.youtube.com/watch?v=999uFeKGyVY)\n\n### **The Problem**\n\nBuilding and running AI compute infrastructure requires dealing with delicate and fragile components that traditional automation simply cannot do. As a result, servers are manually assembled by hand overseas, and spend weeks in transit before they are integrated into racks and delivered to data centers. Once they get there, labor constraints exacerbate the issue of maintenance. Today, hundreds of thousands of technician positions go unfilled in the United States. Finally, when the servers are retired, there is no efficient way to extract valuable components inside like GPUs and memory.\n\n### **What We're Building**\n\nWe develop physical AI models and custom hardware, purpose-made to give robots the dexterity and intelligence to perform various server-related manipulation tasks.\n\n* **Assembly** **-** Autonomous robots can assemble servers onshore without driving up labor costs, supporting the growing need to bring ODMs back to the United States.\n* **Maintenance** **-** We use the same technology for live data center maintenance. We built a working AI data center in our office, and our robot can actively maintain it 24/7. We’re deploying this technology to commercial data centers in the coming months.\n* **Decommissioning** **-** Our robots also break down previous-generation servers and pull out reusable parts, and we're working with enterprise circular programs and IT Asset Disposition companies to return scarce components to circulation.\n\n### **Why This Matters**\n\nThe immense demand for compute requires new innovation. \n\nTo solve power and cooling constraints, operators are building data centers away from the grid, near nuclear facilities, on the water, and in space—environments where it’s not easy to staff humans. With autonomous data centers, we can take human ergonomics and labor constraints out of the picture and redesign entire facilities from scratch.                    \n\n### **Who We Are**\n\nWe're graduate robotics researchers out of **Berkeley AI Research** and **Harvard AI and Robotics Lab**. Anirudh’s spent years working at one of the country's leading robotics labs, training dexterous manipulation models alongside NVIDIA's GR00T team. Raghav’s led research centered on reinforcement learning and humanoid world models. Both of us are extremely excited to bring this expertise to the AI compute industry, where robotic automation will be indispensable for meeting demand.\n\n### **Our Ask**\n\nAs we advance our technology, we’d like to push for more commercial deployments. If you / anybody you know works in any stage of the AI compute lifecycle, we’d love to chat. Reach out to us at [founders@propriorobotics.com](mailto:founders@propriorobotics.com) :)", "url": "https://www.ycombinator.com/launches/Rnc-proprio-robotics-autonomous-data-centers", "votes": 9, "created_at": "2026-07-22T17:09:29.434Z" } ] }, { "id": 32156, "name": "Enact", "slug": "enact", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f79f9bbc22f20d6e3465ca66081c4a646834064.png", "website": "https://enact.company", "all_locations": "San Francisco, CA, USA", "long_description": "Enact creates the physical environments to benchmark and hill climb robotics models on high-value tasks. We find where robots fail, and fix them with our in-house training loop.", "one_liner": "Real-world RL environments for robotics models", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786311090, "tags": [ "Reinforcement Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/enact", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/enact.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/enact-company/?viewAsMember=true", "x_url": "https://x.com/enact_labs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f79f9bbc22f20d6e3465ca66081c4a646834064.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2406199, "full_name": "James Stevens", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Enact", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-stevens-440362200", "x_url": "https://x.com/jamesw_stevens", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c605b46207ec2b29443db68751da93ca45c507c0.jpg" }, { "user_id": 3594727, "full_name": "Govind Chada", "title": "Founder/CTO", "founder_bio": "Founder at Enact. Previously: Robotics research in Chelsea Finn’s IRIS Lab at Stanford AI Lab, Meta Reality Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/govind-chada", "x_url": "https://x.com/govindchada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bffdb6ffe1344f591c02771b2dceccd816fe305e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109880, "title": "Enact: post-training infrastructure for robotics models", "tagline": "Enact generates the data and evaluations needed to make robotics models reliable in the real world.", "body": "**TL;DR: Enact helps teams deploy robots that work in the real world. We roll out policies, generate failure / recovery data, and run in-house evaluations so robots can complete real tasks in production.** \n\n[**https://www.youtube.com/watch?v=dam0tQBIezY**](https://www.youtube.com/watch?v=dam0tQBIezY)\n\n**The Problem**\n\nRobotics models can look flawless in choreographed demos and still fail when an object slips, the scene shifts, or the robot makes an early mistake. Those failures push the policy into states its training data never taught it to recover from. **Robotics models must train on edge cases to be reliable in the real world.**\n\n**What We Built**\n\nEnact turns a policy’s failures into targeted recovery datasets for teams training robotics models. We use the data to fine-tune models and run real-world evaluations, verifying our data improves reliability.\n\n**We’re already serving our first customers: finding where their robots fail and collecting the targeted recovery data needed to make them robust.**\n\n* Roll out an existing model on a physical robot.\n* Identify recurring failure states.\n* Recreate those states and demonstrate how to recover.\n* Retrain with the new trajectories added in.\n* Repeat\n\n**Targeted recovery data pushes success rates above 99%.**\n\nOn our controlled packing task using pi0.5 on the YAM 6DoF arms:\n\n* 200 ordinary expert demonstrations: 90/100 successful physical rollouts\n* 250 ordinary expert demonstrations (more of the same data): 89/100\n* 200 expert demonstrations plus 50 targeted recovery demonstrations: 99/100\n\n![uploaded image](/media/?type=post&id=109880&key=user_uploads/2406199/e1b83c19-6e1d-4dda-adcf-258398bc1676)\n\n**We’re continuing to longer-horizon tasks such as industrial kitting, lab automation, and electronics recycling**\n\nLonger-horizon tasks need substantially more base and recovery data, but the loop is the same: find failures, target missing behaviors, retrain, repeat.\n\n**Who We Are**\n\nWe’re James Stevens and Govind Chada, and we met at Stanford. Govind researched real-world robot adaptation in Chelsea Finn’s IRIS Lab and co-developed recovery methods published at top robotics conferences. Together, we built Enact’s in-house data and evaluation operation and are already serving robotics teams. We started Enact to make robotics models work reliably outside the lab.\n\n**Our Ask**\n\nTraining a robot foundation model or deploying a policy that fails on a real task? Tell us the model, task, and where it breaks, and we’ll make it work.\n\nEmail: [founders@enact.company](mailto:founders@enact.company)", "url": "https://www.ycombinator.com/launches/SaG-enact-post-training-infrastructure-for-robotics-models", "votes": 16, "created_at": "2026-08-11T14:30:00.204Z" } ] }, { "id": 32260, "name": "Manifold", "slug": "manifold-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f03122e41743439cec57f8152eac9cd506d714.png", "website": "https://www.manifoldindustries.ai/", "all_locations": "Los Angeles, CA, USA", "long_description": "The US Warehouse industry spends $75bn on labor each year. Yet, only 10% of US warehouses have any form of automation, because existing robotics are too expensive and hard to integrate. \r\n\r\nManifold deploys autonomous robots that handle picking, loading / unloading, and palletizing — priced by pick. Integration in hours. No upfront costs. No retrofitting. No need to rebuild the operation around the robot. \r\n\r\nOur mission is to make it easy for any warehouse to adopt robotics.", "one_liner": "Drop-in robotic labor that works on Day 1", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784541343, "tags": [ "Hardware", "Warehouse Management Tech", "Robotics", "Logistics", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/manifold-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/manifold-2.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/manifoldindustries", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f03122e41743439cec57f8152eac9cd506d714.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/32318/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOYE2QNZ5%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022739Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJIMEYCIQDZr7mht6VpZroejzIM4ovdqqWjmh9u8AZ4wJ%2BcxZeHaQIhAN0TyP1C5dfPpTpdf3vcwz%2B044IBUbnJ55rbsOHYRWQWKuUDCDoQABoMMDA2MjAxODExMDcyIgxycpAO09Mq3A1cvyQqwgN39qg2Ox70YWArW8Z19bx1LbIV2O3f8r7xSc%2BDpl3XtmT02s9DHm%2FdyEMimOoBk5McFrR%2FThfgO9h1Zcmt1NqN1y6d1lWIsDAdluAWIqXM089dX1KVjFmsSwg8hWS2%2F4ysZFTLuD5VBUHeANJPyfmRKN9Kb4JepbPSE01eipdz4aqPxRqz%2FVUJEYLUTh5YJM6jJKNzl5l2mnWSSFiFdUfT5OS16LHDCYH4PGt9WRY2iseRxMu7FZcICWM0P8aN14WLxKsu1H0yVxk8LS%2BNbXezGhQnkMsa3bf7aMNU7x4TSs7KyM01QgiCZxC01YV43U4O8vFENPThr%2FHtKaAvtZ0%2BXSTwUE691O8mG15thNVkorInjIhilxdazy%2BzEYcGsAMNZtfx0Bd5Xn43Xf7b%2Fie4vv0d0RCHqbCGLmxRHj5VG3Pdta5Kju3%2Fpb8n%2FKmRjY%2FtuIfi9oTYAjc4PVyikHTm8UXURiHmaM0tqXZjxyh0iIponEKehSmtjmjudiXLWICFBoPhEXeaUeyK2AT6btvH4fclsQa0qRmkxdgguiWvrYxLKhNNfPLTc5QA0jlPSRoDJ%2F%2BxNHLFrGusOX7IwU6hfRMw6P3a1gY6pAETos2BWzWJY973oh8s1gy0zFzSYQP7N%2B39nIjIA7I0ymOVnRNJktoZRF6GV9DH3ymBPT2fnMgKvEaFAqVR%2F0WVwXz3ixgSwFGrvlwPr39cuFnKBEcdnivQJOXkexjqUxi9alVn76GV8ONTXD1ZupAQeLYI09gLaaAmJlyJPRAUCybD64XlECdPqS2TV2e%2FZlA5duJD1GekpDGthoc0y8PIc1ahwA%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=42ea8e2882267580076ab7c55512b80c4f199c59a9ac3a17a1898ff3c4ae9bc2", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3169788, "full_name": "Nicolas Yeh", "title": "Founder/CEO", "founder_bio": "Founder at Manifold. Grew up in a 3rd-gen supply chain family business (major consumer products supplier to US retailers). Previously at Balyasny Asset Management covering analog semiconductors ($1B+ book). Before that, Hotel Acquisitions at Starwood Capital Group, where he sourced a $60M hotel sale and was sole analyst responsible for asset management of Extended Stay America ($7.6B JV with Blackstone). BA from UPenn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolas-yeh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b04b9f9fd580701776cb120a1b47e822cd2f803.jpg" }, { "user_id": 3614218, "full_name": "Joshua Ibrahim", "title": "Founder/CTO", "founder_bio": "Founder at Manifold. PhD in Applied Mathematics from Caltech. Previously Software Engineering Intern at Facebook, working on Messenger P2P services and Instagram's misinformation detection systems. MS and BS in Electrical and Systems Engineering from Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshibrahim/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2290e4ffd9df33d56490b230a84f5929381117ae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112000, "title": "Manifold - Robotic labor for the supply chain industry", "tagline": "Robotic labor for the supply chain industry", "body": "**What if you could hire a robot the same way you hire a temp worker?** \n\nNick grew up working in his family’s 3rd-generation distribution business, where he saw firsthand how much warehouses still depend on manual labor. The obvious answer should have been robotics, but for true labor replacement, existing robots were too expensive, inflexible, and difficult to deploy. As a result, most warehouses still say they’re “not ready” for automation.\n\nNick came together with his best friend Josh, a fellow UPenn alum and PhD at Caltech specializing in safety-critical control for robotics, to solve this problem.\n\nManifold is building robotic labor for the supply chain industry. Its robots perform picking jobs from start to finish faster than humans, with no upfront cost or infrastructure changes. Customers simply pay per pick, at a cost below human labor.\n\nThey’re already deploying robots to perform more than **5 million picks across multiple warehouses.**\n\nIf you’re a warehouse operator, reach out to [nick@manifoldindustries.ai](mailto:nick@manifoldindustries.ai)\n\n", "url": "https://www.ycombinator.com/launches/T8S-manifold-robotic-labor-for-the-supply-chain-industry", "votes": 4, "created_at": "2026-08-24T18:00:00.769Z" } ] }, { "id": 32518, "name": "Agency Tool Company", "slug": "agency-tool-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.png", "website": "https://agencytool.com", "all_locations": "Denver, CO, USA", "long_description": "Agency Tool Company ships software to robots in the field 20x faster than a Docker pull with ATC Deploy, sending only the bytes that changed and resuming when the network drops. Deployment tooling is the connection between the lab & the field that continually bottlenecks robotics scaling and lacks a strong robotics-native solution. Deploy is live today with 3 launch partners across ag, construction, and logistics robotics.\r\n\r\nOur second product, ATC Build, offers embedded-compute as a CI service so devs can run tests and validate their software on the actual target hardware. Build supports the Nvidia Jetson lineup, Raspberry Pi, and a number of other embedded platform targets.\r\n\r\nJack Morrison and Davis Foster founded and sold Scythe Robotics after deploying hundreds of autonomous mowers across the country; Agency Tool Company is building the robotics deployment platform across hardware and software they wish they had.\r\n\r\nLearn more at https://agencytool.com", "one_liner": "Reliable infrastructure to build, deploy and manage real-world robots.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784914207, "tags": [ "Developer Tools", "Robotics", "Automation", "Infrastructure", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agency-tool-company", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agency-tool-company.json", "year_founded": 2026, "city": "Denver", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agency-tool-company", "x_url": "https://x.com/agencytoolco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3668961, "full_name": "Jack Morrison", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Agency Tool Company. Previously founder/CEO at Scythe Robotics, building autonomous electric outdoor equipment from 2018-2026 and successfully exiting to ASI. Earlier co-founded Replica Labs (mobile 3D scanning) and worked as a computer vision engineer at Occipital on the Structure Sensor. BA Computer Science from Bowdoin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/morrisonjack/", "x_url": "https://x.com/jackmorrison", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/13172ea12c502ccffb1824b2ef8e356abeabdfae.jpg" }, { "user_id": 253511, "full_name": "Davis Foster", "title": "Founder", "founder_bio": "Founder at Agency Tool Company - making it easier to scale robots. Previously co-founded Scythe Robotics ('18-26), made autonomous commercial mowers, acquired by ASI in 2026. Built and shipped hundreds of robots still operating across the country. Thiel Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davisfoster", "x_url": "https://x.com/davistfoster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b4566280f9b3ba7c4ea23beb319e78fbf6db999.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107934, "title": "Agency Tool Company: The build and deployment platform for robotics", "tagline": "Field Robots Faster with ATC Deploy", "body": "Today we're sharing Agency Tool Company and our first product, ATC Deploy: a faster, more reliable way to ship software to robots wherever they are. It moves updates up to 20 times faster than docker pull or scp and works with any software stack already in use.\n\n\n\n## The updates that took until 2 a.m.\n\nDavis and I spent eight years building Scythe Robotics and putting hundreds of autonomous mowers to work across the country. For years, we deployed software with a tool I'd cobbled together for our first few robots. As the fleet grew, deployment became an ordeal: engineers stayed up until 2 a.m., we coordinated with customers to move robots out of sheds and into LTE coverage at set times, and failed transfers restarted from zero. Shipping a fix could take more coordination than building it. We had models to train and customers to serve, so the tooling limped along with incremental bandaids.\n\nWe've since heard the same story from robotics teams across industries. That deployment becomes a hidden bottleneck: teams become release-averse, feedback loops slow and improvements stall. Stitched-together web and IoT tools barely work if you know which scripts to run and who to call, so they survive, even if it means every update is distracting from improving the product.\n\n## What we built\n\nATC Deploy ships whatever you already run: OS images, Docker images, or any file tree. Run “atc ota push user@robot”, and it sends only the changed bytes, then restarts your software through hooks you define—way faster than a docker push.\n\nInstall takes one “curl | sh” command and a config file so you can get back to work fast. Interrupted transfers resume where they stopped, and an offline robot can receive updates by USB if you need. There's no new runtime, packaging format, or operating system to adopt.\n\n## Shipping to robots today\n\nATC Deploy already ships software to robots at Burro, which has deployed more than 750 machines worldwide, Tempo, polishing concrete across several US states and Canada, and Gather, who is scaling their 99.9% accurate inventory drones nationwide. Their teams spend less time managing delivery and more time improving the robot.\n\n**Operate a robot fleet? Join the ATC Deploy waitlist at [agencytool.com](https://agencytool.com/).** Know a team that should be using it? Send them this post, or to [mailbox@agencytool.com](mailto:mailbox@agencytool.com).\n\nIt's time to build robots.\n\n![uploaded image](/media/?type=post&id=107934&key=user_uploads/253511/2f53d874-b652-4819-b734-bd52256958d8)\n\n", "url": "https://www.ycombinator.com/launches/S4s-agency-tool-company-the-build-and-deployment-platform-for-robotics", "votes": 6, "created_at": "2026-07-28T15:54:16.451Z" } ] }, { "id": 32552, "name": "6thSense", "slug": "6thsense", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24cb943ce2196a35afe2b7d03f61eab2d4ec937a.png", "website": "https://6thsense.dev", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Nervous System for Physical AI", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1782449364, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/6thsense", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/6thsense.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/6thsenseai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24cb943ce2196a35afe2b7d03f61eab2d4ec937a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4fdc2d7bcabc67030a4042e4ff79a3d9e187aea.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3429291, "full_name": "James Baek", "title": "Founder/CEO", "founder_bio": "Founder & CEO at 6thSense. Founding member at Ibebu (Series C). Security Specialist, US Army (USFK). Exited a six figure content creation business and built numerous faceless brands. BME & Biochem at Georgia Tech. Growth Hacker\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-baek1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cb03c9cf75088d5d10002833f9baf36b05998c2.jpg" }, { "user_id": 1407900, "full_name": "Ronak Agarwal", "title": "Founder/CTO", "founder_bio": "Founder & CTO at 6thSense. ML at Amazon. Production infrastructure at DoorDash. Built autonomous drone delivery at Chick-fil-A. Built several startups before 6thSense, including Qard. Georgia Tech CS & Economics graduate (Intelligence + Modeling & Simulation); left a CS master's in Data Science & Systems Architecture. AI/ML & Systems Builder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ronak-agarwal9", "x_url": "https://x.com/ronakgt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/338442a428cd26e2dd42028368b6924295dff73a.jpg" }, { "user_id": 3367434, "full_name": "Alex Hyungwoo Noh", "title": "Founder/COO", "founder_bio": "Founder at 6thSense. Bio/ML scholarship from Samsung at age of 17. UChicago CS/Econ. Ex-Army Recon. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hyungwoonoh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f41a76394905402b8f244c67a750e1792d0e33dd.jpg" }, { "user_id": 2055952, "full_name": "Matt Wulff", "title": "Founder/CPO", "founder_bio": "Co-Founder of 6thSense (YC S26). Lead Vision Guided Robotics (ME) @Tesla at 20yo, Homeschooled, First Company at 16yo, Build Rockets for fun, Lead Tactile Data Capture at Mecka AI, Dreamer and adrenaline junky", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/makeitmatto/", "x_url": "https://x.com/makeitmatto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fce472f4227cba7507f4caf1b2de54916ed016b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104007, "title": "6thSense — Giving Robots Touch", "tagline": "Giving Robots Touch", "body": "6thSense builds wearable tactile sensing rigs that capture how human hands interact with the world — pressure, contact, grip, and pose — across touch, vision, depth, force, and 3D hand pose, all in real environments. We sell that multimodal data to the companies training the next generation of dexterous robots.\\\n\\\n\n\nRobots are getting good at seeing. They're still terrible at touching. That's because there's almost no data capturing what a hand actually feels while doing real tasks in real homes. Lab data doesn't cut it. We go anywhere and capture the missing layer that manipulation models need to learn fine motor control.\n\nWhat makes our data different is the hardware we built to collect it. Our tactile sensing devices are designed and manufactured in-house, purpose-built to capture the richest touch signal in the industry — with scale in mind from the very beginning, enabling us to actually solve the tactile data problem. Every sensor maps directly to how robotic skin needs to work: a 1-to-1 analog for the tactile arrays going into the next generation of robot hands. That means the data we collect today doesn't just train better policies. It transfers directly to the hardware it's meant to run on. The team comes from Tesla, Mecka, Samsung, DoorDash, and Amazon, with expertise across hardware, sensors, ML, robotics, and software at scale. If you're training a manipulation policy or need custom tactile data, reach out.", "url": "https://www.ycombinator.com/launches/R3X-6thsense-giving-robots-touch", "votes": 7, "created_at": "2026-07-05T16:58:56.478Z" } ] }, { "id": 32553, "name": "Nori", "slug": "noril1", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b7cc06bfd9d08d6eae3bc20eca8c056f893bf8b.png", "website": "http://norirobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We manufacture Nori: A sub-$2000 bimanual mobile manipulator that can clean rooms, restock shelves, and fold clothes. Nori can handle basic tasks out of the box, and its software lets anyone teach Nori to automate work specific to their home or business. \r\n\r\nNori aims to solve the robotics data bottleneck. By deploying affordable robots to customers around the world, we can gather the diverse data required to train the next generation of generalist robotic policies. Every user of Nori makes Nori smarter.\r\n\r\nSince launching 6 weeks ago we have already deployed our first robot and have over $440k+ in sales.\r\n\r\nWe can bring general-purpose robotics to homes and businesses that could never afford it before. There are 132.7 million households and 8.4 million employer business locations in the U.S. At $1,688 per robot, selling just one Nori to 0.5% of them represents a $1.2B market opportunity in the U.S. alone. ", "one_liner": "The most capable American-made humanoid robot for $1,688", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783099451, "tags": [ "Hard Tech", "Hardware", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Robots are finally capable enough to be useful, but they're priced like cars, not appliances. A capable humanoid costs $20,000+, so general-purpose robots stay in labs and pilots instead of homes. \r\n\r\nIt's a big problem because household labor is one of the largest unpriced markets in the world. Today's answer is a stack of single-task machines, a dishwasher, a washer, a vacuum, each $600 to $1,000 and doing exactly one thing. Whoever ships a general-purpose robot at appliance prices doesn't win a niche, they open consumer robotics the way the PC opened computing.\r\n\r\nWe're robotics researchers from Columbia (RoboPIL, CGUI). After years watching \\[$100K research robots struggle with tasks cheap hardware could handle\\], we realized the gap between lab robots and home robots isn't intelligence, it's cost discipline. Nobody was going to fix that from inside a lab, so we left to build it: a $1,688 robot anyone can teach." } ], "url": "https://www.ycombinator.com/companies/noril1", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/noril1.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/norirobotics/", "x_url": "https://x.com/NoriRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b7cc06bfd9d08d6eae3bc20eca8c056f893bf8b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2661900, "full_name": "Antonio Sitong Li", "title": "Founder/CTO", "founder_bio": "Antonio is the founder of Nori Robotics. He studied Computer Science and Architecture at Columbia, where he held research fellowships with the Laidlaw Scholars Program, the Data Science Institute, and the Graphics & UI Lab. His research focused on teaching robots new tasks through VR demonstrations.\n\nHe also holds a national patent for a computer-vision system, and previously co-founded Truely, which grew to 2,000+ users and 1.5M+ impressions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonio-sitong-li/", "x_url": "https://x.com/AntonioSitongLi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31394af155bdf33ce5bb832507516ea31b4407bd.jpg" } ], "jobs": [ { "id": 117560, "title": "Data Operations Lead", "url": "https://www.ycombinator.com/companies/noril1/jobs/njoB5k2-data-operations-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117561, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/cERiSKM-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117562, "title": "Multimodal Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/boIEFcs-multimodal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117563, "title": "VLM Researcher", "url": "https://www.ycombinator.com/companies/noril1/jobs/3VxHqDs-vlm-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117564, "title": "LLM Researcher", "url": "https://www.ycombinator.com/companies/noril1/jobs/2LGcxo3-llm-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117565, "title": "Applied AI Engineer, Agents & Robot Learning", "url": "https://www.ycombinator.com/companies/noril1/jobs/ZSfyL0x-applied-ai-engineer-agents-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117566, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/XrKBJq1-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$100K - $130K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117567, "title": "Social Media & Content Marketer", "url": "https://www.ycombinator.com/companies/noril1/jobs/jVWzI5j-social-media-content-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$35 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117568, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/Exs6QKi-electrical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$110K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117569, "title": "Robot Assembly & Automation Technician", "url": "https://www.ycombinator.com/companies/noril1/jobs/qciFkKu-robot-assembly-automation-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.8K - $58.2K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "American Humanoid Robot Launches For Just $1,688, Delivery This Fall, Made In San Francisco", "url": "https://www.forbes.com/sites/johnkoetsier/2026/08/18/american-humanoid-robot-launches-for-just-1688-delivery-this-fall-made-in-san-francisco/", "date": "Aug 20, 2026" } ], "launches": [ { "id": 111315, "title": "Nori: The $1688 humanoid robot", "tagline": "Most humanoids cost 16k, ours cost 1.6. 19 DOF, 1.5 KG lift per arm", "body": "Hey YC! 👋\\\n\\\nI’m Antonio from Nori Robotics\n\nWe manufacture humanoids in SF, and we do it at 10% the cost of the competition \n\n**Our ask:** If you are doing any development related to robotics and you think that Nori can be useful, fill out this [form](https://docs.google.com/forms/d/e/1FAIpQLSdcHJxwXCBo5dz7IbIQ30akCu5JaD5Tbv5dP9gIQxvbJQR-3Q/viewform?usp=dialog) or reach out to me on: [X](https://x.com/AntonioSitongLi) or [linkedin](https://www.linkedin.com/in/antonio-sitong-li/). \n\nHere is a video demo of what Nori can do 👇\n\n\\\n\\\nLearn more at [norirobotics.com](http://norirobotics.com)\n\n\\\n**Nori Specs:**\n\n19 DOF\n\n\n\n55 kg linear lift\n\n\n\n1.5 kg payload per arm (2 arms)\\\n\n\nMicrophone array + Speaker (full-duplex speech dialogue)\n\nRpi 5 4GB compute module \n\n4 \\* 720p 30 fps camera", "url": "https://www.ycombinator.com/launches/SxP-nori-the-1688-humanoid-robot", "votes": 16, "created_at": "2026-08-20T18:30:00.323Z" } ] }, { "id": 32585, "name": "Hilstart", "slug": "hilstart", "former_names": [ "HILStart", "HILstart" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51bcabfa16bc955e9ce96986bcffa07d33aea4b7.png", "website": "https://hilstart.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We build physical agent harnesses to enable AI to debug, validate, and ship functional hardware and software.", "one_liner": "Autonomous Hardware Testing", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1787080990, "tags": [ "Developer Tools", "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hilstart", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hilstart.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51bcabfa16bc955e9ce96986bcffa07d33aea4b7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3650587, "full_name": "William A'court", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Hilstart. \n\nPreviously Lead Mechatronics Engineer at Aquila, shooting lasers at drones to charge them.\n\nAlso made FSAE race cars and electric jetboats along the way.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-acourt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1ed4a0dd114a57e9fad794d4d76ca2b92b744087.jpg" }, { "user_id": 3673236, "full_name": "Simon Alexander", "title": "Founder/CTO", "founder_bio": "Founder & CTO at Hilstart. \n\nPreviously Firmware Engineer at Aquila.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/simon-alexander-8045a685/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f81fdbde1bd9795d0673493281c06b35e6e75e71.jpg" }, { "user_id": 3609313, "full_name": "Rahul Bhati", "title": "Founder", "founder_bio": "Trained gymnast. Building hardware since 15. 2x National robotics champion at 18. \n\nBefore HILStart: power and thermal systems at Vessev (Flying boats) and test rigs at Halter (NZ's latest unicorn). Founding team at Aquila and built the core tech behind kilometre-scale wireless laser energy transmission across many engineering disciplines. Aquila is now a world-leading powerbeaming company, and the tech delivered the world's first 500W transfer to a drone mid-flight.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahulbhati240p/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcade1c338d4f7cd84c76029a88c17e2378d7677.jpg" }, { "user_id": 4019599, "full_name": "Josh Schoeman", "title": "Founder", "founder_bio": "Making hardware easier.\nPast adventures all over mechanical and electrical development.\n\nBattle scars from electric motor design, accelerated lifecycle testing, mechanical structures, cooling systems, hardware test rigs, DFM, wiring harnesses, race cars and electronics debugging. \nAlso, destructive testing (often inadvertent).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-schoeman-167a5b211/", "x_url": "https://x.com/Formula_Josh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b42ede95509dba6974a14a6bb16272b6d7579a8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32621, "name": "Aktoria Robotics", "slug": "aktoria-robotics", "former_names": [ "Phi Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.png", "website": "https://aktoria.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Enabling robot deployment & autonomy ", "one_liner": "Human as API for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784175637, "tags": [ "Robotics", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aktoria-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/aktoria-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aktoria-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3108880, "full_name": "Jaskaran Singh Walia", "title": "Founder", "founder_bio": "Ex - Researcher @ (Microsoft, MIT, CMU, Cambridge, NUS)\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaskaranwalia", "x_url": "https://x.com/karanwxliaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb7e6a357374ed42415aee6999d0568b1d2dc6ce.jpg" }, { "user_id": 1125677, "full_name": "Shreenabh Agrawal", "title": "Founder", "founder_bio": "Robotics grad @ CMU. Physics & Quantum Technology @ IISc Bangalore.\nIndia's Prime Minister awardee, highest civilian honor for young achievers.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shreenabh/", "x_url": "https://x.com/ShreenabhA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64c61d6ba30010f5699e5b194f9a5ff2aa45b8ef.jpg" } ], "jobs": [ { "id": 109688, "title": "Robot Learning Researcher (VLA / Foundation Models)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/WlROHB1-robot-learning-researcher-vla-foundation-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$450K - $600K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 116148, "title": "HR Manager (India)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/sIDJZkE-hr-manager-india", "location": "Noida, UP, IN / Noida, Uttar Pradesh, IN", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Operations", "salary_range": "₹700K - ₹1.4M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 109426, "title": "Aktoria Robotics is the teleoperation layer to speed up robot deployments", "tagline": "A 24-hour global network of trained operators, powered by our low-latency teleop software.", "body": "**Aktoria Robotics is the teleoperation layer that speeds up robot deployments.**\n\n[https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24](https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24/view?usp=sharing)\n\nEvery \"autonomous\" robot you've seen this year had a human behind it. Full autonomy isn't here yet, and building an in-house teleop team is slow and expensive. That's the bottleneck standing between a working robot and a real deployment.\n\nAktoria Robotics is a 24-hour global network of trained robot operators across India, Mexico, and the USA, powered by our low-latency teleop software (40ms cross-country) at at least 50% less than the cost of in-house operators. Robotics companies plug in and ship deployments faster.\n\n**The team:** We're Jaskaran Singh Walia and Shreenabh Agrawal, ML and Robotics grad students at CMU. Shreenabh (ex-Zoox) has first-author papers at top robotics conferences. Jaskaran has authored 15+ papers and researched at MIT, Cambridge, and Microsoft Research.\n\n**Our ask:** If you're deploying robots and need reliable teleop, book a call through aktoria.com. Intros to robotics teams requiring teleop are hugely helpful, reply here or reach us at [founders@aktoria.com](mailto:founders@aktoria.com).", "url": "https://www.ycombinator.com/launches/SSw-aktoria-robotics-is-the-teleoperation-layer-to-speed-up-robot-deployments", "votes": 6, "created_at": "2026-08-06T15:00:00.066Z" } ] }, { "id": 32716, "name": "Neuromorphic", "slug": "neuromorphic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/470f3b57cd018aad9c127e64e5b952d32a64d435.png", "website": "https://www.neuromorphic.vision/", "all_locations": "San Francisco, CA, USA", "long_description": "We are building robots that can work autonomously in existing wet labs. Unlike traditional lab automation, which requires dedicated equipment and fixed workflows, our robot moves between workstations, manipulates existing scientific equipment, transports lab materials, and executes experiments using the same lab infrastructure as a human technician. We make the robots easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs as easy as onboarding a new employee, and to accelerate scientific research!", "one_liner": "Building robots to automate wetlabs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786056544, "tags": [ "Hard Tech", "Robotics", "B2B", "Biotech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neuromorphic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/neuromorphic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neuromorphic-vision", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/470f3b57cd018aad9c127e64e5b952d32a64d435.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3607343, "full_name": "Vatan Aksoy Tezer", "title": "Founder/CEO", "founder_bio": "Founder at Neuromorphic. Previously Lead Robotics Engineer at Augmentus, deploying motion planning algorithms to production with sub-mm accuracy and leading a team of 5. Before that, built navigation stacks from scratch at KABAM Robotics (deployed 100+ robots) and scaled ASRS systems at Rapyuta Robotics (1000+ robots to production). Core maintainer of MoveIt at PickNik Robotics. MS in CS from Sabanci University, BS in Astronautical Engineering from Istanbul Technical University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vatanaksoytezer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d22faa66df9b9d4a1f2250b01fe1287fe3e28347.jpg" }, { "user_id": 2794176, "full_name": "Ege Doganay", "title": "Founder/CTO", "founder_bio": "Founder at Neuromorphic (YC S26). Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT, Stanford XR, MIT Reality Hack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ege-doganay/", "x_url": "https://x.com/_doganay_ege", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dda0ccf712da9c5904e6a14ea227c1d7210f36b9.jpg" }, { "user_id": 3316337, "full_name": "Cem Toker", "title": "Founder/COO", "founder_bio": "Founder at Neuromorphic. Co-founded ErgoFlow, building LLM routing and training acceleration. Previously developed static calibration algorithms for industrial robots at Zeeko achieving 30% higher precision. Engineering at Cambridge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cem-seref-toker", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/938e49a805b6e2d5c1ed6645ef6db6e8f54dcb9d.jpg" } ], "jobs": [ { "id": 112214, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/neuromorphic/jobs/eae51Em-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "CAD Design" ] } ], "news": [], "launches": [ { "id": 109550, "title": "Neuromorphic - Building an embodiment-agnostic “brain” that makes robots fast to deploy", "tagline": "We make robots smarter, and faster to deploy. Starting with wet labs!", "body": "Hi everyone! We’re Cem, Ege, and Vatan, the founders of Neuromorphic 👋\\\n\\\n**TL;DR** Neuromorphic is building an embodiment-agnostic “brain” that makes robots fast to deploy, and easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs and other physical industries as easy as onboarding a new employee.\n\n\\\n\\\n**The Problem**\\\nTo make robotics mainstream, we believe two problems have to be resolved:\\\n1\\. Deployment: Robots are still too slow, expensive, and engineering-intensive to deploy and adapt to new tasks and environments.\\\n2\\. Interaction: Managing and controlling robots remains too technical.\\\n\\\n**What We’ve Built**\\\nNeuromorphic packages sensors, compute, and software into a “brain” that can be attached to any robot body. An onboard LLM orchestrator turns natural-language instructions into workflows made up of reusable robotic skills, such as navigating, picking up an object, opening a refrigerator, or inspecting an area. Individual skills can be of various types; they could be AI models we develop, like Vision-Language Models and Video Action Models, or just plain code. Sensor-based safety loops monitor every action to ensure reliable execution.\n\nWe are also giving robots emails, phone numbers, and Slack access to make human-robot interaction more intuitive than using dashboards. The robots then respond to queries and take actions using the onboard LLM.\\\n\\\n**Traction**\\\nWithin a week of our first conversation with a leading biotechnology company, we deployed our robot in their wet lab, which is capable of operating autonomously 24/7, and already completed over 1500 tasks.\\\n\\\n**The Team**\n\n![uploaded image](/media/?type=post&id=109550&key=user_uploads/3607343/b28b023b-f328-4c5d-9181-720e96e5b1a3)\n\n\\\nCem: Second-time founder and did robotics research at Cambridge University. Previously built LLM routing and training acceleration, and did precision robotics.\\\n\\\nVatan: Maintained multiple open-source robotics libraries, most notably MoveIt, one of the most popular motion-planning frameworks for robotics. Led various teams in robotics startups from Series A to Series C in Japan and Singapore. Deployed over a thousand robots.\\\n\\\nEge: Did Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT in 2024.\\\n\\\nCem and Ege first met as teammates in the FIRST Robotics Competition. They reached out to Vatan for mentorship and robotics advice. We spent the next three years building robots and winning competitions together. We remained close and eventually reunited to start Neuromorphic!\\\n\\\n**Ask**\\\nWe're looking for warm intros to wet lab, biotech, and physical-industry operators. If you have a repetitive physical process and have wondered whether a robot could do it, email us at [founders@neuromorphic.vision](mailto:founders@neuromorphic.vision) or [book a call here](https://cal.com/team/neuromorphic/meet-the-founders-of-neuromorphic).", "url": "https://www.ycombinator.com/launches/SUw-neuromorphic-building-an-embodiment-agnostic-brain-that-makes-robots-fast-to-deploy", "votes": 73, "created_at": "2026-08-10T15:00:00.364Z" } ] }, { "id": 32717, "name": "Neuron Industries", "slug": "neuron-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.png", "website": "https://neuronindustries.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Neuron is crafting the world’s first purpose-built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We help customers from chemical processing to nuclear reactors compress controls projects from weeks to hours. ", "one_liner": "Industrial Controllers built for AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784835700, "tags": [ "Robotic Process Automation", "Manufacturing", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neuron-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/neuron-industries.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neuron-industries-1", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3676531, "full_name": "Dennis Ren", "title": "Founder/CEO", "founder_bio": "CEO and Co-Founder at Neuron Industries. Previously founding EE at Freeform, built its hardware tech stack from the ground up and scaled the world's most advanced metal 3D printing factory to production. Vision Pro System EE at Apple, owned eye tracking and Optic ID subsystems form factor system and board design. Ex-Tesla (Fremont) , Amazon (Go), Apple (iPad Pro, Pencil). UCSD BSEE.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dennisren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da38da0d216a741391a7f9784585f65188573dcf.jpg" }, { "user_id": 3732370, "full_name": "Kenneth Rhee", "title": "Founder/CTO", "founder_bio": "CTO and Co-Founder at Neuron Industries. Previously founded WorkIPO, bootstrapping it as a solo founder, building mission-critical enterprise software systems. Seller-marketplace systems at GOAT.com transacting hundreds millions of dollars, engineering at Amazon on Elastic Block Store (trillions I/O ops daily), Silk Browser for FireTV at Amazon, Dassault Systemes' Medidata on regulated clinical services. Computer Science at UC Irvine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kennethrhee/", "x_url": "https://x.com/kenneth_rhee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44092f707a68aa3f8c2cff8e697c1a3f2b86ebef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107212, "title": "Neuron Industries: The world's first purpose built industrial controller for AI", "tagline": "Throw away your PLCs!", "body": "\n\n**TL;DR:** Neuron is building the world's first purpose built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We compress controls projects from weeks to hours, from chemical processing to nuclear reactors.\n\nWe have hardware ready to deploy today, hit us up for a pilot!\n\n**Problem**\n\nEvery piece of industrial equipment, conveyors, pumps, packaging cells, process plants, runs on PLCs. But PLCs got stuck in the 90s: it's 2026 and you're paying $5000 for a controller with 5MB of memory, programmable only with esoteric IDEs and languages frozen in 1993. Reindustrialization and data center buildups are pushing demand up while the programmer workforce shrinks. Projects still cost a fortune and take months.\n\n**Solution**\n\nWe're rebuilding the controller from first principles: state-of-the-art hardware, an AI-native stack, one ecosystem unifying PLC, HMI, SCADA, and Historian. Our agent contextualizes your requirements and hardware, then lets anyone program production applications in plain English, with test and verification guardrails and first-class data observability.\n\n**Traction**\n\nOur tech is in customers' plants today: pilots in chemical processing, electronics manufacturing, wastewater treatment, and small modular reactors.\n\n**Team**\n\nDennis Ren (CEO): founding EE at Freeform, built the hardware stack for the world's most advanced metal 3D-printing factory. Apple Vision Pro founding team, Amazon Go, Tesla Fremont.\n\nKenneth Rhee (CTO): second-time founder, bootstrapped and exited WorkIPO. Custom ERP, MES, and CRM systems; ex-Amazon and GOAT Group (YC W11).\n\n**Our ask**\n\nIf you — or someone you know — build machines or factories that run on PLCs and HMIs, we'd love to talk: [hello@neuronindustries.com](mailto:hello@neuronindustries.com)", "url": "https://www.ycombinator.com/launches/RtE-neuron-industries-the-world-s-first-purpose-built-industrial-controller-for-ai", "votes": 12, "created_at": "2026-07-24T18:02:58.034Z" } ] }, { "id": 32750, "name": "Ultrasonium", "slug": "ultrasonium", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/734dc12d12265ba8890bf4ef5e7e564bdb629a87.png", "website": "https://ultrasonium.com/", "all_locations": "Boston, MA, USA", "long_description": "The technologies that define this century, including data centers, rockets, satellites, and robots, are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and hazardous.\r\n\r\nUltrasonium has invented a new manufacturing method to make these critical parts 15x faster and 75% cheaper than the methods they replace, in the U.S. and at scale. Solid metal feedstock goes in and a finished part safely comes out, controlled by a physical AI layer and novel control processes. \r\n\r\nThe systems that matter most, in aerospace, energy, and compute, are demanding metal geometries that can't be machined or cast and are too expensive and slow to make with incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\r\n\r\nOur founding team has built and innovated some of the most complex engineering systems known to man: quantum computers, superconductors, nuclear reactors, and novel aerospace alloy processing methods. ", "one_liner": "Metal manufacturing, faster, cheaper, and more versatile.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785870310, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ultrasonium", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ultrasonium.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ultrasonium/", "x_url": "https://x.com/Ultrasonium", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/734dc12d12265ba8890bf4ef5e7e564bdb629a87.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3735756, "full_name": "Jack Qiu", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Ultrasonium. Inventor, physicist, and engineer with a PhD in EECS from MIT, with research spanning quantum computing, cryogenics, plasma research, signal processing, hardware control, and advanced manufacturing. First author of a Nature Physics publication in collaboration with MIT Lincoln Laboratory under IARPA and DoD programs. Former researcher at Lawrence Berkeley National Laboratory. BA in Physics from UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-q-a1b81546/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10afaa4d3df89c18be993661d93702c07d1f3782.jpg" }, { "user_id": 3748345, "full_name": "Hunter Brown", "title": "Founder", "founder_bio": "Founder & VP, Engineering at Ultrasonium\n\nStarted my R&D career working at national labs by age 15. I have contributed to the ITER fusion reactor and CERN through labs at NHFML and LBNL. I have led teams of fabricators and designers in both research and industry. I am passionate about hard tech and moving groundbreaking research ideas into real products. \n\nI lead the Ultrasonium team on the novel and cutting edge technology we implement in our manufacturing process. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hunterpbrown/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/525b78441a81f2ea58c6801c81cc2f8643e4e421.jpg" }, { "user_id": 1892793, "full_name": "Chris Carter", "title": "Founder", "founder_bio": "Founder & Chief Scientific Officer at Ultrasonium. PhD candidate on leave from MIT researching novel metal matrix materials and 3D printed metal heat treatments under NSF GRFP, MIT UCEM, GEM, and .406 Venture fellowship programs. Previously at Argonne National Laboratory working on 3D printed steel. Led metal melt pool simulations for NASA-funded multi-university project. Patent holder and publisher on metal printing. MS in Mechanical Engineering from MIT, BS from University of South Carolina.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-p-carter/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2c39cf3788b615d4686293df632fc23d11aab12.jpg" }, { "user_id": 2875171, "full_name": "Alexander Urbanski", "title": "Founder", "founder_bio": "Founder & Chief Research Officer of Ultrasonium. Former founder of the DOE-funded nuclear energy startup Bay State Energy and inventor of the Nuclear Thermoelectric Generator. Studied physics and computer science at Boston University. First hire at Phase3D - built and commercialized metals manufacturing technology deployed across NASA, USAF, and companies across four continents. Former metals manufacturing research engineer at Argonne National Laboratory. Dropped out of mech-e grad program. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aurban42/", "x_url": "https://x.com/urban_alex42", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/453e1928db84e3ca68b98855a033c46f98ebc438.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 113464, "title": "Ultrasonium: Shaping the Future of Metal Manufacturing", "tagline": "We make the world’s most difficult metal parts faster, cheaper, and more versatile.", "body": "**The problem**\n\nThe technologies that define this century, including data centers, rockets, satellites, robots, etc., are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and limited in the alloys and geometries they can process.\n\n**What we built**\n\nUltrasonium has invented a new method to make these critical parts. Solid metal feedstock goes in and a finished part comes out, controlled by a Physical AI layer and novel control processes.\n\nWe produce near-net-shape complex metal parts up to 15× faster, 75% cheaper, and with far greater alloy versatility than conventional manufacturing methods, at scale in the U.S.\n\n\n\n![uploaded image](/media/?type=post&id=113464&key=user_uploads/3735756/dbd12c5d-1203-4e50-9939-980a218df45a)\n\n**Why now / why us**\n\nThe systems that matter most, in aerospace, defense, energy, and compute, are demanding metal geometries that can’t be machined or cast and are too expensive and slow to make with incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\n\nOur founding team has worked on some of the most difficult engineering systems in the world, including quantum computers, superconductors, nuclear reactors, and advanced aerospace alloy processing. Between the four of us, we have backgrounds in physics, metallurgy, advanced manufacturing, controls, hardware, and commercialization.\n\nJack Qiu (CEO) completed his PhD in Electrical Engineering and Computer Science at MIT and published pioneering quantum computing work in Nature Physics. Chris Carter (CSO) left to join Ultrasonium during the 5th year of his PhD program at MIT after more than six years of research in state-of-the-art metallurgy and materials processing. Alexander Urbanski (Chief Research Officer) previously founded a DOE-funded nuclear startup and was the first hire at Phase3D, where he built and commercialized metal manufacturing monitoring technology. Hunter Brown (VP, Engineering) began working at national labs when he was 15, studied physics at UC Berkeley, and contributed to the ITER fusion reactor.", "url": "https://www.ycombinator.com/launches/TW4-ultrasonium-shaping-the-future-of-metal-manufacturing", "votes": 6, "created_at": "2026-09-02T19:54:37.419Z" }, { "id": 109239, "title": "Ultrasonium: A new way to make complex metal parts, 15x faster and 75% cheaper", "tagline": "Ultrasonium makes the most difficult metal parts for the world's most important systems 15x faster and 75% cheaper. ", "body": "\n**The problem**\n\nThe technologies that define this century - data centers, rockets, satellites, robots, etc. - are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and hazardous.\n\n**What we built**\n\nUltrasonium has invented a new method to make these critical parts. Solid metal feedstock goes in and a finished part safely comes out, controlled by a physical AI layer and novel control processes. We produce near-net-shape complex metal parts 15x faster and 75% cheaper than the methods they replace, in the U.S. and at scale.\n\n \n\n![uploaded image](/media/?type=post&id=109239&key=user_uploads/2875171/55d1e111-fc43-450d-a83c-2c191d88d909)\n\n\n**Why now / why us**\n\nThe systems that matter most, in aerospace, defense, energy, and compute are demanding metal geometries that can’t be machined or cast and are too expensive and slow to make with the incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\n\nOur founding team has built and innovated some of the most complex engineering systems known to man - quantum computers, superconductors, nuclear reactors, and novel aerospace alloy processing methods. Jack Qiu (CEO) completed his PhD in Electrical Engineering and Computer Science at MIT and has published pioneering quantum computing work in Nature Physics. Chris Carter (CSO) dropped out during the 5th year of his PhD program at MIT and has over a half dozen years of experience researching state of the art metallurgy and materials processing systems. Alexander Urbanski (Chief Research Officer) previously founded a DOE-funded nuclear startup and was the first hire at Phase3D where he built and commercialized metals manufacturing monitoring technology. Hunter Brown (VP, Engineering) began working at national labs when he was 15, graduated from UC Berkeley Physics, and contributed to the ITER fusion reactor.", "url": "https://www.ycombinator.com/launches/SPv-ultrasonium-a-new-way-to-make-complex-metal-parts-15x-faster-and-75-cheaper", "votes": 8, "created_at": "2026-08-05T17:31:24.990Z" } ] }, { "id": 32752, "name": "Moving Atoms", "slug": "moving-atoms", "former_names": [ "Run Lobster", "RunLobster", "Demon AI", "RunDemon", "Avicenna Care", "Agent Insurance" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee4bd602221f77fc05dda940b7202523dd2b9d10.png", "website": "https://movingatoms.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our first model, Atom 1, pre-trained on the internets video, and fine tuned for physics. \r\nIt has been action conditioned, so you can simulate robot actions within it.\r\nThis lets Robot Labs train their robots using GPUs instead of relying on human collected manual data that is slow and expensive.\r\nIn unseen and hard to replicate environments, this is the only path to getting ANY training data.", "one_liner": "Virtual Reality for Training Robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786481200, "tags": [ "Hard Tech", "Robotics", "Virtual Reality", "Data Labeling", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moving-atoms", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/moving-atoms.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee4bd602221f77fc05dda940b7202523dd2b9d10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1776350, "full_name": "Shehryar Saroya", "title": "Founder/CEO", "founder_bio": "Previously AI @ TikTok (Core Recomendation Algorithm). \nMaths @ Oxford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shehryar-saroya", "x_url": "https://x.com/SaroyaShehryar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eba8f18828b5f957663aea131e4a12ec89f9afbb.jpg" }, { "user_id": 2375000, "full_name": "Ahmad Saroya", "title": "Founder", "founder_bio": "Studied Mathematics @ Oxford, Trained Neural nets for GCHQ\nBritish Mathematical Olympiad Gold Medalist. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmad-saroya-a05400237/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab9fc0f9df4310e5df12d2db3ff69d64e603d611.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 33017, "name": "ProvenMetal", "slug": "provenmetal", "former_names": [ "Syncra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/450cf955a0b5a1e301afe718484dd30ffb22fb67.png", "website": "https://provenmetal.com", "all_locations": "San Francisco, CA, USA", "long_description": "ProvenMetal manufactures the fastest circuit boards in the United States.\r\n\r\nDomestic circuit board manufacturing is slow and expensive, and while reshoring is happening, the supply chain isn't there yet.\r\n\r\nWe automate the bottlenecks - part procurement, DFM review, and assembly - delivering circuit boards in days instead of weeks.\r\n", "one_liner": "AI-native electronics manufacturing for the American industrial base", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783632830, "tags": [ "Hardware", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/provenmetal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/provenmetal.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/provenmetal", "x_url": "https://x.com/provenmetal", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/provenmetal", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/450cf955a0b5a1e301afe718484dd30ffb22fb67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 3677443, "full_name": "Johnny Doyle", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at ProvenMetal (YC S26).\nPreviously shipped IoT building management systems. \nDropped out of Engineering with Management @ Trinity College", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnny-doyle-69022718a/", "x_url": "https://x.com/jdoyleirl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0f543b094d851454fd151bf153f573591886fef.jpg" }, { "user_id": 1001813, "full_name": "Will Carkner", "title": "Founder/CTO", "founder_bio": "Co-Founder at ProvenMetal (YC S26). Previously Electrical Engineer at Lumindt working on hydrogen battery systems, studied Electrical Engineering at Trinity College Dublin, and researched metagenomics at ICL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-carkner-518b77228/", "x_url": "https://x.com/CarknerWill", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e2e5b2da14ac447cd242e0bc67bf50701494890.jpg" } ], "jobs": [ { "id": 109684, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/provenmetal/jobs/rBRC3Vu-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "1.00% - 4.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 105450, "title": "ProvenMetal - Fast-turn, American made PCBs", "tagline": "Ship hardware just as fast as software", "body": "We're Johnny and Will - founders of ProvenMetal (YC S26). We assemble the fastest circuit boards in the US, out of a garage in Dogpatch, San Francisco.\n\nSend us your design files and get assembled boards back in days instead of weeks.\n\n\n\n**The Problem**\n\nHardware companies - start-ups and large manufacturers alike - need speed to survive, and right now they wait weeks for circuit boards.\n\nThat time is lost to quoting, design review, part procurement, and assembly - bottlenecks we're automating.\n\nAt the same time, the reshoring wave is driving demand to manufacture critical infrastructure - drones, robotics, defense, energy - domestically.\n\nBut the capacity to assemble boards domestically, quickly and at scale, isn't there. Decades of offshoring hollowed it out, and what's left is slow and expensive.\n\nThe supply chain needed to revitalise American electronics manufacturing hasn't been built yet. We're building it.\n\n**What We Do**\n\nWe're removing the bottlenecks that stand in the way of fast domestic PCB manufacturing.\n\nSend us your design files, get instant quoting and rapid design review.\n\nWe source every component, assemble in San Francisco, and X-ray every board - delivered in days instead of weeks.\n\n**The Founders**\n\nWill Carkner (CTO) - Electrical Engineer, previously shipped the PCB testing pipeline at Lumindt.\n\nJohnny Doyle (CEO) - Mechanical and Manufacturing Engineer, previously built IoT building management systems.\n\n**The Ask**\n\nIntros to drone companies that need hardware fast.\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/8207a1f2-8f6c-41a2-ade8-66fa8d5f7c59)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/75079b59-06bb-49f5-898f-dff57e93579a)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/eeabd5ee-fa61-411c-97da-519125e27c0d)\n\n", "url": "https://www.ycombinator.com/launches/RQo-provenmetal-fast-turn-american-made-pcbs", "votes": 34, "created_at": "2026-07-13T16:18:44.326Z" } ] }, { "id": 33053, "name": "Shiraz AI", "slug": "shiraz-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d2ffb0a884b8a3781f59266189d89f4b30d975.png", "website": "https://shiraz.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We deploy robots that learn new tasks from a single human demonstration in the factory. We're starting in contract manufacturing, where lines change every week and both traditional automation and today's VLAs fall over.\r\n\r\nOur founding team has 20+ years of experience in robotics. Navid was part of the core team that productized Spot at Boston Dynamics and led manipulation projects there. Before that, he was at Rethink Robotics. Mojtaba led whole-body control and manipulation efforts at Amazon Robotics and was a Research Assistant Professor at Northwestern University.", "one_liner": "Robots that learn on the job", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786517990, "tags": [ "Generative AI", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shiraz-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/shiraz-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shiraz-ai/", "x_url": "https://x.com/shiraz_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d2ffb0a884b8a3781f59266189d89f4b30d975.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 585458, "full_name": "Navid Aghasadeghi", "title": "Founder/CEO", "founder_bio": "Founder at Shiraz AI (YC S26). Previously Senior Staff Robotics Engineer at Boston Dynamics, where he was part of the core team that brought Spot from R&D to commercial deployment and led industrial manipulation. Previously Principal Robotics Engineer at Rethink Robotics, where he developed full-stack controls for Sawyer and led force control development. Also founded GenZArt, an AI consumer app that scaled to 1M users. PhD in ECE from UIUC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/navid-aghasadeghi-356b077b", "x_url": "https://x.com/realnavida", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b08976791c20954393282468d399741e7e6a659f.jpg" }, { "user_id": 2722145, "full_name": "Mojtaba Mozaffar", "title": "Founder/CTO", "founder_bio": "Founder at Shiraz AI. Previously Senior Applied Scientist and tech lead at Amazon Robotics, leading high-impact work in perception, policy learning, and manipulation. Before that, Research Assistant Professor at Northwestern directing AI and robotics research. PhD in Mechanical Engineering and Robotics from Northwestern.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mojtaba-mozaffar/", "x_url": "https://x.com/MozaffarMojtaba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2eac2883bfdf8e59573461acba516e0ea179ed74.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110367, "title": "Shiraz AI: Robots that learn on the job", "tagline": "Deploy robots that learn new tasks from a single human demonstration in the factory", "body": "**TL;DR:** We deploy robots that learn new tasks from a single human demonstration in the factory. A new task shows up on the floor? You just film it once on your phone and the robot picks it up. No sitting around collecting data. No engineer flying out to your site. No overnight fine-tuning. You show it, and the robot learns.\n\n\n\n**❌ The problem**\n\nManufacturing is full of constantly changing, high-mix production tasks, which are among the hardest to automate. A line that's packing one product today is building something completely different next week. Every factory owner we talk to says the same two things: they can't find enough people to do the work, and the automation solutions they've tried have been too expensive and too rigid, often ending up gathering dust in a corner.\n\n**✅ What we do**\n\nWe're developing a robot foundation model whose core capability is adapting instantly to new variations of a task. You give the model a human demonstration video as context, and it bridges the embodiment gap to execute the task itself. This in-context learning is the missing piece in today's VLA approaches, and it's what changing manufacturing environments need.\n\nWe deliver the complete system: robot hardware, foundation model, and on-site deployment. We're already deploying robots at customer sites.\n\n**👋 Who we are**\n\n![uploaded image](/media/?type=post&id=110367&key=user_uploads/585458/0832cd2d-2dfc-41b0-8de6-d29897b6c8d3)\n\nBetween the two of us, we have 20+ years of experience in robotics. Navid was part of the core team that productized Spot at Boston Dynamics and led manipulation projects there; before that, he was at Rethink Robotics. Mojtaba led whole-body control and bimanual manipulation efforts at Amazon Robotics and was a Research Assistant Professor at Northwestern University.\n\n**🙏 Our ask**\n\nDo you have a manufacturing task that needs automating, or know someone who does? Let us know and we'll automate it.\n\nReach us at: [founders@shiraz.ai](mailto:founders@shiraz.ai)", "url": "https://www.ycombinator.com/launches/Si7-shiraz-ai-robots-that-learn-on-the-job", "votes": 63, "created_at": "2026-08-12T20:00:00.186Z" } ] }, { "id": 33144, "name": "Grip", "slug": "grip", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6be2671c5d4e3adfe916a4a59aad4680c7cc9d3.png", "website": "https://www.griprobotics.ai", "all_locations": "Zürich, ZH, Switzerland", "long_description": "Grip is a robotics company building intelligent robotic systems for waste and recycling. We are starting with organic waste, where removing contaminants from messy, constantly changing streams remains difficult and highly manual. Our technology combines learning-based manipulation and custom hardware to identify and pick objects, learning from real-world operating data, including every successful and failed grasp, to become more reliable and adaptable over time. This helps waste operators reduce manual sorting, recover more valuable material, lower contamination, and deploy automation flexibly across facilities. Over time, Grip aims to expand beyond organics and build the intelligent manipulation layer for trash in general, making waste processing and the circular economy more efficient and scalable.", "one_liner": "Robots for waste manipulation", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785254669, "tags": [ "Robotic Process Automation", "Sustainability" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/grip", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/grip.json", "year_founded": 2026, "city": "Zürich", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/griprobotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6be2671c5d4e3adfe916a4a59aad4680c7cc9d3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0ba95cdc010ecb5489de28455277fd61e5501df.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3678212, "full_name": "Jonas Gruetter", "title": "Founder/CEO", "founder_bio": "Former robotics researcher, published at ICRA. Ex-Gravis Robotics, Robotic Systems Lab, and Ursa Mining. Now building robots to solve fundamental societal problems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonasgrutter/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81ff3bd631bc4b7206041d530bc182993fddd8fc.jpg" }, { "user_id": 3678142, "full_name": "Stanislaw Piasecki", "title": "Founder/CTO", "founder_bio": "Co-founder at Grip. Previously founding engineer at URSA Mining, building autonomous excavators with custom control circuits, RL simulators, and multi-sensor perception systems. Built autonomous interceptor drones at CDDS, autonomous race cars at AMZ and quadruped robotics at ANYbotics. MS in Computational Science & Engineering from ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stanislaw-piasecki/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/253c9593fed9e59498847d4c158543099816d8f1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111317, "title": "Grip - Robotics for Waste Management", "tagline": "Robots that sort any waste and recover recyclables, learning from every grasp.", "body": "Hi everyone - Stan and Jonas here, founders of **Grip**. We build intelligent robots that sort _any_ waste, not just the clean, predictable objects existing systems are limited to. We're starting with plastic contamination in organic waste.\\\n\\\n\n\n**The problem**\n\nWe didn't start with a thesis, we found it on sorting lines, after visiting waste facilities across several countries:\n\n* **Contamination is existential.** Plastic that organic-waste facilities can't remove gets shredded, processed, and spread onto agricultural soil. Operators spend up to 30% of operating costs fighting it and still fall short. Even Germany's 0.1% limit for plastic in finished compost is a tacit admission that full removal isn't possible with today's tools.\n* **The labor force is aging and shrinking.** The picking work is unpleasant and turnover is brutal. Operators increasingly aren't choosing between people and robots. They're choosing between robots and nobody.\n* **Dangerous items cause fires.** Batteries, propane tanks, and vapes slip through and ignite during handling and shredding: 448 reported fires at US and Canadian waste facilities in 2025, \\~$2.5B in damage, and insurers are walking away. At the same time trash sorting is sitting in the top 5 of US deadliest occupations.\n\n**What we built**\n\nThe hard part isn't the gripper. It's that waste never looks the way you planned. Objects arrive crushed, folded, tangled, half-buried, and moving. Put today's sorting robots in front of this and they break.\n\nWe're building one manipulation system that picks whatever shows up, at the front of the line where the material is most chaotic and existing automation stops. That means chaotic scene understanding, robust grasp planning, and hardware built for real waste streams: our custom three-way gripper is designed to maximize throughput, taking out as much contamination per cycle as possible.\n\nOur rugged hardware matters, but intelligence is the product. Every pick generates data no other system ever encounters: what the robot saw, what it tried, how the material responded, whether it worked.\n\n![uploaded image](/media/?type=post&id=111317&key=user_uploads/3678142/bc867fdc-9225-4b85-83f9-f83433465d5b)\n\n**Why now**\n\nWaste policy has moved from vague ambition to enforceable deadlines:\n\n* Separate bio-waste collection is now mandatory across the EU. More material, and more contamination, every year.\n* New EU fertiliser rules just cut permitted impurities in compost and digestate, with national limits like Germany's stricter still.\n* The US is real: California mandated a 75% cut in landfilled organics, missed it, and enforcement is ramping. At the same time, landfills near major cities are filling up, and that pressure is pushing more and more US municipalities to collect organic waste separately. More material, more contamination, more facilities that need to sort it.\n\nMore than 6,500 biowaste plants and thousands of recycling facilities across Europe and North America face this with no robot that can touch it. That's Grip.\n\n**Why us**\n\nWe've built autonomous race cars, quadrupeds, drones, and excavators, robots that operate in dirt, weather, and chaos rather than controlled labs. Grip is that experience applied to an industry where physical intelligence removes a real bottleneck.\n\n**Our ask**\n\nWe'd love intros to:\n\n* Owners and operators of composting, anaerobic-digestion, and organic-waste facilities\n* Owners and operators of MRFs and recycling facilities\n* Regulators and experts shaping contamination limits and recycling standards\n\nIf someone runs a facility and will show us their hardest sorting problem, we'll get on a plane.\n\n[**griprobotics.ai**](http://griprobotics.ai)", "url": "https://www.ycombinator.com/launches/SxR-grip-robotics-for-waste-management", "votes": 15, "created_at": "2026-08-19T13:00:00.941Z" } ] }, { "id": 33279, "name": "Hebbian Robotics", "slug": "hebbian-robotics", "former_names": [ "Vanda Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e7272f21860060f8aa33bb297af6d18fab5ffdc.png", "website": "https://hebbianrobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Hebbian Robotics builds open source foundational infrastructure for Physical AI to develop robots that extend what humanity can do, for the benefit of the communities they serve.", "one_liner": "Foundational infrastructure for Physical AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786123276, "tags": [ "Robotics", "Data Science", "Data Engineering", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hebbian-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hebbian-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hebbian-robotics/", "x_url": "https://x.com/hbr_pbc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Hebbian-Robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e7272f21860060f8aa33bb297af6d18fab5ffdc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/18513ded63751a708b6d42e2a84d2517cb404aaf.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 388120, "full_name": "Brandon Ong", "title": "Co-Founder", "founder_bio": "Brandon is the co-founder of Hebbian Robotics, which builds APIs that help robotics data teams verify data quality for model training. He previously built Gigit AI, a Sequoia-backed AI customer experience startup. His research on AI for low-resource languages topped SEA-HELM, an LLM benchmark co-developed with Percy Liang's research group at Stanford. He briefly pursued a PhD in Robotics at Columbia and NTU before starting Hebbian.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ongjjbrandon", "x_url": "https://x.com/brandon1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b65343ad1d0b482401872b3124da731618a3058.jpg" }, { "user_id": 968709, "full_name": "Kingston Kuan", "title": "Co-founder", "founder_bio": "Kingston spent the last few years at Jane Street building systems that scaled to millions of messages per second. He graduated valedictorian from the National University of Singapore (NUS) in Computer Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kingston-kuan/", "x_url": "https://x.com/kstonekuan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b674a8b80df5cd21ef03f13e6470d6126bc4c333.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109711, "title": "Hebbian Robotics - APIs for searching and analyzing Physical AI data at scale", "tagline": "We enable evaluation of data quality without training a robotics model", "body": "# \\*\\*\\*\\*\n\n**TLDR;**\n\n* **Hebbian Robotics builds APIs for searching and analyzing Physical AI data at scale**\n* Our APIs enable data providers to get **on-demand signals and metrics** on the quality of their data, without managing infrastructure\n* We help our customers evaluate data quality without training a robotics model\n\n\n\n**Our Ask**\n\n* Buyers want data they can trust. If you're selling egocentric or robot data, **Let’s Chat ([https://calendly.com/brandon-hebbianrobotics/30min](https://calendly.com/brandon-hebbianrobotics/30min)**) and we'll show you how quality signals and metrics help you sell more at higher prices\n* **Check out Pareto ([https://pareto.hebbianrobotics.com/](https://pareto.hebbianrobotics.com/)),** an example of how our APIs can be used\n\n### **Who We Are**\n\n* We’re Brandon and Kingston, we've trained AI models for industrial cleaning robots and built production systems for camera fleets across the globe\n* [**Brandon Ong**](https://bookface.ycombinator.com/user/388120)'s previous AI startup was backed by Sequoia. He did research on AI for low resource languages that topped Stanford’s LLM benchmark, SEA-HELM, and dropped out of his joint PhD in Robotics at Columbia and NTU\n* [**Kingston Kuan**](https://bookface.ycombinator.com/user/968709) spent years at Jane Street building systems that scaled to millions of messages per second. At Verkada, he worked on their core video surveillance platform that processed large scale multimodal data\n\n### **The Problem**\n\n* **High quality data is the bottleneck for unlocking the next frontier of intelligence in robotics**\n* Buyers want **data they can trust** \n* Data providers don’t have the bandwidth to provide signals and metrics about the quality of their data when they are **focused on** **operational excellence** \n* This means that **model developers are forgoing model improvements due to a lack of high quality data**, impeding progress in robotics\n\n### **Our Solution**\n\n* APIs for searching and analyzing Physical AI data at scale that enables providers to get **on-demand signals and metrics on data quality**\n* Buyers demanding per-collector hour limits? **Prove compliance while we stay ahead of the workarounds**\n* Changed standard operating procedures for collection? **Monitor for quality drift and regression**\n* Suspect duplicate samples? **Verify quickly with a single API call**\n* Our APIs enable **evaluation of data quality without training a robotics model, fast iteration cycles for** high quality data collection, and unlock **model improvements** \n\n### **How to reach us**\n\n* We want to support data providers who believe in collecting high quality data in an ethical way\n* To get started, email [**brandon.ong@hebbianrobotics.com**](mailto:brandon.ong@hebbianrobotics.com)", "url": "https://www.ycombinator.com/launches/SXX-hebbian-robotics-apis-for-searching-and-analyzing-physical-ai-data-at-scale", "votes": 81, "created_at": "2026-08-09T03:00:00.116Z" } ] }, { "id": 33344, "name": "Dawn Industries", "slug": "dawn-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be237324cf82c0125a34763f99ffb0cf35ca384d.png", "website": "https://www.dawnxr.com", "all_locations": "San Francisco, CA, USA", "long_description": "VIM connects to the entire cell: PLCs, robots, CNC machines, sensors. When a cell faults, VIM finds the cause, stages the fix, and the operator approves with one click. When a part drifts, VIM catches it seconds after the cut, inside the machine, and recommends the correction. Recovery drops from 30 minutes to under two, saving more than $15,000 per fault in large factories.", "one_liner": "Automatic Diagnosis & Fix for Industrial Automation Cells", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786150873, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dawn-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dawn-industries.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dawn-industries-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be237324cf82c0125a34763f99ffb0cf35ca384d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1720857, "full_name": "Joohyun (CJ) Cha", "title": "Founder/CEO", "founder_bio": "Founder at Dawn Industries (YC S26). Previously co-founder & CTO at Zipper, a creative collage social media backed by Unnoted Ventures (acquired by MetaZone). ML engineer at Avalo analyzing genomic data for crop development. Studied CS at Brown.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joohyun-cha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f28d9424990fbb7e48280e9e4384fa363a9c27.jpg" }, { "user_id": 2574843, "full_name": "Robin Lee", "title": "Founder/CTO", "founder_bio": "Founder at Dawn Industries. Previously founding engineer at NUUA, Aviation AI Startup that raised $10m.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robinlee02/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9ac55f690cab2a816d964d148195dd9d0f44a2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109744, "title": "Dawn Industries - Automatic Diagnosis & Fix for Industrial Automation", "tagline": "AI that understands the entire industrial cell and stages the fix in minutes.", "body": "Hey BF 👋 We are [@Joohyun (CJ) Cha](https://bookface.ycombinator.com/user/1720857) and [@Robin Lee](https://bookface.ycombinator.com/user/2574843), cofounders of [@Dawn Industries](https://bookface.ycombinator.com/company/33344). We’re building **VIM**, Automatic Diagnosis & Fix for Industrial Automation Cells.\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/10398df4-83d1-4d24-860a-5ede83b91f9c)\n\n# **TL;DR:**\n\n**VIM is Sentry for industrial automation cells. When a cell faults, VIM reads the error code and the live machine signals, digs the root cause out of the OEM manuals and the cell's own history, and stages one safe fix for the operator to approve. When a CNC drifts, VIM catches it with the machine's own probe seconds after the cut and stages the offset correction. Downtime goes from hours to about a minute; scrap gets caught at part one instead of final inspection.**\n\nWatch how **VIM** works:\n\nRobot Cell Video: \n\nCNC Machine Video: \n\n# WHAT WE BUILT\n\nVIM sits on the cell and closes the loop from fault to recovery:\n\n1. **Connect**. Reads **PLC**, **HMI**, **robot**, **CNC**, **sensor**, and **driver state** without touching the controls you already trust.\n2. **Understand**. Matches the fault to live signals, the right page of the right manual, and this cell's own prior recoveries or trends the probe touches and traces drift to tool wear, thermal growth, a bumped fixture.\n3. **Recover**. Stages one bounded, validated action: a restart, a parameter change, an offset correction. The operator approves it like a pull request.\n\nBefore anything moves, the safety chain is verified: interlocks, light curtain, area scanner. VIM cannot bypass it; that's a precondition in the action policy, not a feature. And when the fault is genuinely hardware, VIM routes the incident to the right person with the exact diagnosis and repair steps attached, instead of a generic alarm and a prayer.\n\n**Autonomy is earned, not assumed**: VIM ships read-only, then one-click approval, then unattended recovery only on fault classes where it has earned trust. And it's mixed-vendor by design (FANUC robots and CNC controls, Universal Robots, Siemens, Allen-Bradley, Cognex, Keyence, Renishaw probes), because a cell is multi-vendor by definition and a copilot that speaks one vendor's language can't close the loop.\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/83b531fe-5737-4f94-8b70-cd37330dae7c)\n\n# TEAM\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/df76af6e-3516-4d76-9081-145424822ef3)\n\nWe're four people covering both halves of the problem.\n\n[Robin Lee](https://www.linkedin.com/in/robinlee02/) and [Joohyun (CJ) Cha](https://www.linkedin.com/in/joohyun-cha), cofounders, Robin was the founding AI engineer at an aviation AI startup, and built the production AI systems behind its $10M Series A and a 1st-place Minister's Award from Korea's Ministry of Science and ICT. CJ cofounded Zipper as CTO (acquired by MetaZone), did ML on genomic data at Avalo. We spent the past years in plants and machine shops learning all the faults and error that happen during manufacturing processes.\n\nOur founding engineers, come from Tesla and robotics research labs. They spent years building and fixing automation cells and various robot cases.\n\n# OUR ASK\n\n* **Intros to plant managers, manufacturing engineers, and controls engineers** at plants running robot cells (palletizing, case packing, welding, machine tending, inspection). If a stopped line ruins their week, we want to meet them.\n* **Intros to machining and quality leaders at plants and shops (primarily aerospace & defense) running CNCs**, anywhere scrap gets discovered at final inspection instead of at the machine.\n* **War stories.** Tell us about the cell that keeps stopping or the machine that keeps drifting. Best case, we make it your most reliable one.\n\nReach us at [joohyun_cha@dawnxr.com](mailto:joohyun_cha@dawnxr.com) or 401-226-3503, or book a demo at .", "url": "https://www.ycombinator.com/launches/SY4-dawn-industries-automatic-diagnosis-fix-for-industrial-automation", "votes": 12, "created_at": "2026-08-08T16:00:00.916Z" } ] }, { "id": 33349, "name": "Robocurve", "slug": "robocurve", "former_names": [ "Telos", "Robocurve PBC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.png", "website": "https://robocurve.org", "all_locations": "San Francisco, CA, USA", "long_description": "Robocurve builds open-source tools and independent benchmarks to measure how well robots can do real-world jobs. Instead of relying on unverified demo videos from frontier labs, we score their models on reproducible benchmarks that anyone can trust.\r\n\r\nToday there are no well-run, standardized robotics benchmarks. Labs evaluate in-house, and no independent group has stepped in to run continuous benchmarking as a service. The result is that no one actually knows how good anyone else is, or where the real frontier sits.\r\n\r\nGood benchmarks require operating and maintaining physical hardware and real-world setups. Simulation only goes so far, since models that look strong in sim can show large performance gaps once deployed in the real world. Building real-world benchmarks means coordinating job-domain experts, evals engineering, and hands-on robotics all at once.\r\n\r\nFrontier labs are targeting general-purpose robotics by 2028, yet the field of robotics evals barely exists. Whoever builds the trusted measure of robot capability becomes the reference everyone relies on. We combine backgrounds in AI evals and robotics to build and grow this field as fast as possible. We already shipped v1 of our open-source framework, Inspect Robots, and ran our first pilot scoring a frontier model on a real robot.", "one_liner": "Evals for robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783378088, "tags": [ "Hard Tech", "Hardware", "Robotics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/robocurve", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/robocurve.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robocurve/", "x_url": "https://x.com/robocurve", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2392672, "full_name": "Jay Chooi", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Robocurve. MA Statistics and BA CS/Math from Harvard. Jay builds evals of frontier AI and forecasts its progress. Previously Research Fellow at MATS, researcher at the UK AI Security Institute, and top contributor to Inspect Evals, the UK government's AI eval framework. Published at ACM EC, ICML, ACL, and EMNLP. Called the 2024 election correctly in all 50 states. Won a Rhodes Scholarship. Gold medal at the International Olympiad on Astronomy and Astrophysics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeqcho", "x_url": "https://x.com/chooi_jeq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5df96d3283ec234b3a09c35933b2582a7ef1a067.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112513, "title": "Robocurve — Real-World Evaluations of Physical AI", "tagline": "Real-world evals for robots", "body": "Hi, I’m [Jay](https://www.linkedin.com/in/jeqcho/), co-founder of [Robocurve](http://robocurve.org). We measure and reports what frontier robots can actually do in the real world.\n\nOur launch video \n\nFrontier labs are racing to build general-purpose robots within two years, yet no one knows what today's robots are truly capable of. Demo videos of robots performing narrow, cherry-picked tasks proliferate, but there are no rigorous, continuous, standardized benchmarks for robotics.\n\nRobocurve builds benchmarks for robots and the AI models that control them, to help the world understand how far robotics has come and how fast it's moving. Our benchmarks range from playing Jenga and making a sandwich to constructing a data center.\n\nGeneral-purpose robots could arrive before the end of the decade, with far-reaching implications: accelerated data center buildouts, explosive economic growth from a fully automated economy, and intensified geopolitical competition between the US and China. Real-world evaluations from Robocurve will help clarify the timeline to general-purpose robots so that society can prepare for their arrival well ahead of time.\n\n[Jay](https://www.linkedin.com/in/jeqcho/) is a Rhodes Scholar and a top contributor to UK AI Security Institute's Inspect Evals. He has published papers in ICML, EMNLP, ACL, ACM EC and his research has been featured in MIT Technology Review. Previously, he spent time at AWS Bedrock, MATS, and Harvard where he completed his BA and MA with a highest honors thesis on AI and democracy.\n\nIf you build robots or AI models, reach out! We'd love to put them to the test. Learn more at [robocurve.org](http://robocurve.org).", "url": "https://www.ycombinator.com/launches/TGj-robocurve-real-world-evaluations-of-physical-ai", "votes": 12, "created_at": "2026-08-27T20:30:00.743Z" } ] }, { "id": 33408, "name": "Salem Robotics Inc", "slug": "salem-robotics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "website": "https://salemroboticsinc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our software turns any robot we deploy into an everyday independent worker at your facility. They are able to walk sites, handle instruments, overcome obstacles, collect measurements, and generate auditable compliance records, replacing hours of mandatory manual surveys and inspections. Built by Los Alamos robotics veterans and deterministic-manipulation researchers, we started in nuclear and are already expanding to other hazardous industries.", "one_liner": "Deploying robots to replace workers in hazardous spaces", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783052221, "tags": [ "Hard Tech", "Robotics", "Energy", "Defense", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/salem-robotics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/salem-robotics-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/salem-robotics/", "x_url": "https://x.com/salemroboticshq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4593ea24a36e629876ca1a48e9e7db1a683530c2.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3403013, "full_name": "Caleb Horan", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Salem Robotics. Previously a published robotics PhD student at UT Austin, developing task planning for autonomous systems. NRC Fellow. Deployed multi-robot teams at Los Alamos National Laboratory's Plutonium Division. MS in Robotics from UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caleb-horan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7cff240bcb1484bcdff91bb1419d9c25f3162cf.jpg" }, { "user_id": 3208433, "full_name": "Janak (Crasun) Panthi", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Salem Robotics Inc. PhD in Robotics from UT Austin (Dec. 2026). 6 yrs industry experience leading product development and deploying quadruped robots in nuclear facilities. US Army.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/janak-panthi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19b6a7b10bbd6739abbb938281eb9c068eebf9c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108976, "title": "Salem Robotics - Autonomous robots for hazardous spaces", "tagline": "We deploy robots to perform autonomous inspections and surveys in hazardous spaces, like nuclear. ", "body": "We're [Caleb](https://www.linkedin.com/in/caleb-horan) and [Janak](https://www.linkedin.com/in/janak-panthi), PhD roboticists from UT Austin. We've spent a combined 15 years in nuclear, 10 of which deploying autonomous robots at Los Alamos National Lab, and we're building Salem Robotics.\\\n**TLDR:** Our software turns robots into independent survey and inspection workers at your facility.\n\n[Launch Video](https://youtu.be/7xObOE6knZM)\n\n## **Life and death pain worth $Millions/year**\n\nAt every nuclear facility, highly trained radiation-protection teams spend hours each day walking the site, filling out hand-drawn maps, and searching for something life-threatening: radiation. IN THE BEST CASE they find nothing, and still have to return to their posts to transcribe the data into a computer before doing the actual high-value work they were assigned. These surveys are time-consuming, dangerous, expensive, and prone to data inconsistencies that carry direct regulatory consequences.\n\nThe same pain exists well beyond nuclear. Whether it's gas-leak inspection or ammonia surveys, similar workflows run across oil, gas, chemical, biological, space, and other hazardous facilities.\n\n## **What we do**\n\nAn operator defines the work from a simple dashboard; the robot then navigates the site, handles instruments, opens doors, turns valves, collects measurements, and generates structured, auditable, compliance-ready reports. We're hardware-agnostic, so plants run our software on robots they already own, many of which sit in a closet today as \"$200k paperweights, \" or we can provide the right robot for the job. Our stack is designed for safety-critical infrastructure and comes with theoretical safety guarantees, exactly what regulators and plant leadership require. Our core manipulation framework was not possible before and is based on **breakthrough founder research** published and presented at the most prestigious IEEE journals and conferences in the world. \n\nWe're already in active contract-scoping conversations across the nuclear industry and oil & gas.\n\n**Our asks**\n\n* Intros to operations or innovation leaders in nuclear or similar hazardous sites (oil, gas, chem, bio, space).\n* Advice from founders who've sold into safety-critical industrial environments.\n* Sites where routine surveys are frequent, hard to staff, or particularly painful? We'd love to hear about them.\n\nComments, Emails, and DMs welcome. \\\n[Engage@salemroboticsinc.com](mailto:Engage@salemroboticsinc.com)", "url": "https://www.ycombinator.com/launches/SLg-salem-robotics-autonomous-robots-for-hazardous-spaces", "votes": 29, "created_at": "2026-08-04T19:00:03.963Z" } ] }, { "id": 34365, "name": "Runtime.si", "slug": "runtimesi", "former_names": [ "Lambda Robotics", "Runtime" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/461a9d05728add7a3449b82167ac418e94d301eb.png", "website": "https://runtime.si/", "all_locations": "San Francisco, CA, USA", "long_description": "Runtime is building the evaluation layer for physical intelligence. We push robot policies to their limits across thousands of simulated worlds, before they face the real one.", "one_liner": "Evaluation Infrastructure for Robotics (YC F26)", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785385611, "tags": [ "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runtimesi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/runtimesi.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runtime-yc-f26", "x_url": "https://x.com/runtimesi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/461a9d05728add7a3449b82167ac418e94d301eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3900443, "full_name": "Chen Peng", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Runtime.si. Researcher at UPenn's GRASP and Penn Engineering; Previously investment analyst at BlackRock. BA in Physics from UPenn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chen-peng-6737681bb", "x_url": "https://x.com/chennpeng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f13d7e62eab252812a41d0f0434752acd19c176f.jpg" }, { "user_id": 3900687, "full_name": "Yim Ying", "title": "Founder", "founder_bio": "Co-founder at Runtime.si. Full-stack robotics engineer focused on robotics productization, manipulation, and manufacturing.MechE @ Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qingyun-ying-46558235b?utm_source=share_via&utm_content=profile&utm_medium=member_ios", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3abf1241b0a3a88b9721dba23ce1cce5e431f5ea.jpg" }, { "user_id": 3133784, "full_name": "Liam Zhong", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Runtime.si. Researcher at UPenn GRASP, CV, Control, and RL. Reviewer and author for CVPR, etc. Robotics@Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ningze-zhong-a62917388/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44689e138268d43bdde7deebc7f696481422fcea.jpg" } ], "jobs": [ { "id": 102287, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/MzXnOwU-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$6K - $9K", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "Will sponsor", "skills": [ "CAD Design" ] }, { "id": 102288, "title": "Electrical Engineer, Robotics", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/CFyIFbn-electrical-engineer-robotics", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Robotics", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102289, "title": "Founding Software Engineer, Robotics Infrastructure", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/0oIw1pj-founding-software-engineer-robotics-infrastructure", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104228, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/UFzIOBo-founding-gtm", "location": "San Francisco, CA, US", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 1.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 34959, "name": "Applied Kinetics", "slug": "applied-kinetics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f64a699ef7ce7501af64a3b0efc5dfecb5d71fd5.png", "website": "https://appliedkinetics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Applied Kinetics is an AI-native, end-to-end manufacturer for data center and energy developers. 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"user_id": 3088791, "full_name": "Adhik Durga", "title": "Founder/CTO", "founder_bio": "Founder @ Applied Kinetics (YC F26) | ex-IBM AI Agents | Computer Engineering @ Georgia Tech", "is_active": true, "linkedin_url": "https://linkedin.com/in/adhikdurga", "x_url": "https://x.com/ajdurga999", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b24e5b3d4f708487d8942aa0fd219b2c7b92c645.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35290, "name": "Antropi Robotics", "slug": "antropi-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "website": "https://www.antropi.world/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous CNC factories for faster hardware", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786284917, "tags": [ "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/antropi-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/antropi-robotics.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/antropi-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2771579, "full_name": "Naman Gupta", "title": "Founder/CEO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namangupta24/", "x_url": "https://x.com/namaangupta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/198dcb03b52084327028f3f0ed3bbe71ee8f2090.jpg" }, { "user_id": 2771603, "full_name": "Shubh Agarwal", "title": "Founder/CTO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhagarwal566/", "x_url": "https://x.com/Shubh__Agarwal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/595067adc4990aba2aa8149c62d3b0ae87788190.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123265, "title": "Antropi Robotics | CNC parts in days, from autnomous factories", "tagline": "Turning your designs into precision metal parts in days", "body": "👋 **Hey Everyone!** I’m Naman. My best friend Shubh and I are building **Antropi Robotics**.\n\n**We make inspected CNC parts for hardware teams.** Our first factory is live and already shipping parts to customers with **lead times under 7 days**.\n\n**Our goal:** a network of autonomous factories across the US, making and delivering parts locally in as little as 24 hours.\n\n\n\n## ⚙️ Problem\n\nBefore starting Antropi, I spent six months running my dad’s CNC machining business in India. The biggest lesson was simple: **automating the machine is not the same as automating the factory.**\n\nA CNC machine can cut automatically. But someone still has to plan the job, load the machine, inspect the part, and decide what to do when something goes wrong.\n\nFor hardware teams, this becomes a familiar cycle. Prepare drawings. Request quotes. Go back and forth on manufacturing details. Wait for a production slot. Wait for the parts.\n\n**Every week spent waiting is a design iteration you don’t get before your next demo.**\n\nAdding a robot to load the machine fixes one step. It does not tell the factory whether the part is correct, or what should happen next.\n\n## 🤖 Solution\n\nWe’re building **dark factories: autonomous factories designed to run 24/7.** Our Factory OS connects job planning, CNC machines, robots, and inspection into one system.\n\nSoftware turns CAD into machining programs and checks them in simulation, with an engineer approving them before production.\n\nRobots load and unload. Machines cut. **Every part is inspected.**\n\nInspection feeds back into production, so the system can make supported corrections or stop the machine before a problem repeats.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/275935ea-e97d-40e7-b0fa-cc9d04977486)\n\nFor you, it’s simple: upload your CAD, confirm your requirements, and receive inspected parts with an inspection report.\n\n**You buy parts. We handle the factory.**\n\nWe’re also building agent ordering through our MCP server and a **Rush option** for priority production.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/c7d0124b-0e12-4a10-b4ca-322ecac60205)\n\n\n## 🌎 Vision\n\n**One factory is the start. The network is the point.**\n\nOur long-term plan is hundreds, eventually thousands, of microfactories across the US, close to the teams building hardware. The same Factory OS will coordinate production across the network.\n\nAutonomy removes waiting inside the factory. Local production puts the finished part closer to you.\n\nThe target: **American-made precision at China-competitive prices**, with local delivery in as little as 24 hours for supported parts.\n\nShenzhen-like speed, without needing to build in Shenzhen.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/e012541d-ba88-4809-9423-a1935c878aec)\n\n\n## 🛠️ We’ve spent nine years getting hardware built.\n\nShubh and I met in college in 2017. We both studied computer science, built Mars rovers together, and competed internationally. We also spent plenty of days in CNC shops waiting for parts.\n\nBefore running my dad’s business, I was the first employee and Chief of Staff at Accio Robotics, a warehouse automation company in India, participating in its journey from the first product through scaling and acquisition.\n\nShubh completed his Master’s in Robotics at the University of Pennsylvania, working with robotic manipulators. After his master’s, we started Antropi.\n\nWe have experienced this problem as the people waiting for parts and as the people responsible for making them.\n\n**Now we’re building the factories we wish we’d had.**\n\n## 🙌 Ask\n\n**Need CNC parts?** Send us your most challenging part and we’ll get it done. \n\n👉 [www.antropi.shop](http://antropi.shop)\n\n**Know a team scaling production?** We’d appreciate introductions to hardware or procurement teams at Series B+ companies in computing infrastructure, robotics, medical devices, and energy.\n\nWe’re happy to start with one part and earn the next order.\n\n**Naman & Shubh**\n\nAntropi Robotics", "url": "https://www.ycombinator.com/launches/W49-antropi-robotics-cnc-parts-in-days-from-autnomous-factories", "votes": 5, "created_at": "2026-10-19T18:00:00.087Z" } ] }, { "id": 35389, "name": "Open Actuation", "slug": "open-actuation", "former_names": [ "Pendulum Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04bbecc591031b8b78b9a43b4f8c9cd329829f72.png", "website": "https://openactuation.com", "all_locations": "Los Angeles, CA, USA", "long_description": "We design and manufacture high-mix drone motors and robotic actuators in LA.\r\n\r\nDJI, Apple, and Ford don't settle for OTS components. Likewise, the teams that win the Western robotics market will build seamless machines from tightly integrated software and hardware. \r\n\r\nOpen Actuation designs motors and actuators around your robot's unique form factor and mission - then we rapidly bring them to life with proprietary software and tooling geared for high-mix machining and assembly. We've designed and built motors for top drone OEMs and can assemble thousands of motors per month at our first factory in LA.\r\n\r\nWe're doing for motion components what 3D printing has done for structural components. This enables hardware teams to build and iterate at the speed of software so they can create elegant, reliable, ROI-positive robots and win massive markets.", "one_liner": "Quick-turn, purpose-built motors & actuators for all", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790141770, "tags": [ "Hard Tech", "Robotics", "Drones", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/open-actuation", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/open-actuation.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/143885703", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04bbecc591031b8b78b9a43b4f8c9cd329829f72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 1253977, "full_name": "Jon Facer", "title": "Founder/CEO", "founder_bio": "Founder at Open Actuation - electric motors and actuator mfg.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jon-facer-a88341145/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5613a845c13d368aec637282de95932c4733fa86.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35454, "name": "Shepherd Robotics", "slug": "shepherd-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "website": "https://shepherdrobotics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks. We train our systems on a combination of real world and simulation data so they can learn complex manipulation skills and generalize across workflows. We also provide integration into customers’ existing workflows, starting with data center construction and operations, electrical manufacturing and testing, and electronics manufacturing, where traditional automation struggles with variability, dexterity, and changing environments. ", "one_liner": "Robots for high skilled labor powering AI infrastructure", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789000982, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shepherd-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/shepherd-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 987072, "full_name": "Feifei Duan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Shepherd Robotics. Ex-Waymo and Chef Robotics engineer.\nTrained large transformer models at Waymo and deployed robots into large food factories at Chef Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/feifei-duan-607255125", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e18794d104befc26ce95ece503c146710f1faed3.jpg" }, { "user_id": 778599, "full_name": "David Fang", "title": "Founder/CTO", "founder_bio": "David Fang is co-founder and CTO of Shepherd Robotics. Previously, he was a Research Scientist at Dyna Robotics working on large-scale robot learning, and building ML systems for autonomous driving at Cruise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/da-fang-8273b7116/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ec6f51146461b14b10ea90c0da6865162e995e2.jpg" }, { "user_id": 2562853, "full_name": "Kai Ru", "title": "Founder", "founder_bio": "Founder at Shepherd Robotics. x Cruise & Rivian self driving cars, planning, research, foundational models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pengkai-r-07086633/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/223c45b3097c524878bc0283aafac05c2146b6d9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35455, "name": "Deploy", "slug": "deploy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "website": "https://deployrobotics.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Deploy's core belief is that robots should be useful. Getting a generalist robot to do real work is fundamentally the same problem across industries. We build everything between the model and the task to bring generalist robots to the businesses that actually need them.", "one_liner": "The generalist robot deployment company.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789089952, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deploy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/deploy.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deployrobotics", "x_url": "https://x.com/deployrobo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 3593535, "full_name": "Sahith Reddy Chada", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Research Engineer at Honda Research Institute building vision-language-action models and world models for robotics and autonomous vehicles. MS Robotics from UMn, BTech Aerospace Engineering from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahith-reddy-chada", "x_url": "https://x.com/sahithchada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7420ef4a0d182dfb06daee92dc8e49c3fa294297.jpg" }, { "user_id": 3445935, "full_name": "Irene Grace Karot Polson", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Previously Autonomy Engineer at AeroVect, deploying self-driving vehicles at airports, flight data at Airbus. MS Robotics from UPenn, BS Aerospace from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/irene-grace-karot-polson/", "x_url": "https://x.com/irenekarrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d0cff2b295376185f768d9e81a3e11d369263c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121648, "title": "Deploy - The Generalist Robot Deployment Company", "tagline": "We turn generalist robots into a reliable workforce. ", "body": "Hello world, we’re [Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) & [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/), co-founders of [Deploy](https://deployrobotics.co/)!\\\n\\\n**TL;DR:** Deploy puts generalist robots, aka humanoid arms, to work in real businesses as a service. You pay for the work getting done (packing, kitting, returns, manufacturing, data center maintenance), not the robot.\n\n\n\n**Problem:** \\\nThe world was full of physical tasks no technology could automate till now. Generalist robot models can finally handle the messy, variable work that traditional automation never could: mixed orders, returns, tasks that change every day.\n\nBut a capable model isn't the same as a robot reliably doing the job on your floor. Most robotics projects stall in the gap between a good demo and a shift that runs 24/7. \n\n**Solution:** \\\nDeploy closes that gap. We’re the generalist robot deployment company. We turn generalist robots into reliable workers, and our customers pay for completed work, not the robot.\n\n**How it works:** \\\n→ We break each new task into a sequence of steps and track progress in real time\\\n→ The system knows what's done, what's next, and when a robot needs help\\\n→ Every human intervention becomes training data, so the robots get better the longer they run\n\n**The backstory**\\\n[Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) and [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/) have been building robots for over a decade, from opposite ends of the stack. Sahith built robot models at Honda Research Institute. Irene deployed autonomous vehicles in safety-critical airport environments. We kept hitting the same wall: deployment. Deploying across different robots and different models is fundamentally the same problem. If it’s one problem, one platform can solve it. So we’re building Deploy.\n\n![uploaded image](/media/?type=post&id=121648&key=user_uploads/3445935/cd171680-2427-4c8f-80fc-ceb223d46485)\n\n**Ask:** \\\nCan you introduce us to 3PLs, brands, warehouses or distribution centers that could benefit from rolling out robotics as a workforce? Reach us at [founders@deployrobotics.co](mailto:founders@deployrobotics.co) or [deployrobotics.co](http://deployrobotics.co).", "url": "https://www.ycombinator.com/launches/Ve4-deploy-the-generalist-robot-deployment-company", "votes": 7, "created_at": "2026-10-14T14:30:00.140Z" } ] }, { "id": 35522, "name": "Hemlock", "slug": "hemlock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9593981f6acf78f7e8d4417ca9346aed3d279da4.png", "website": "https://hemlock.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Every serious robotics lab is bottlenecked on the same thing: demonstration data. The field has converged on egocentric video and hand pose as the substrate, and both are now cheap to collect at scale. What neither of them contains is force. A video of someone picking up an egg and a video of someone picking up a rock are nearly identical in pixel space and nearly identical in joint angles. They differ almost entirely in a quantity nobody is recording. Policies trained without it learn geometry and inherit no sense of touch.\r\n\r\nHemlock closes that gap at the source. Our device, the Bracelet, is a wrist-worn surface EMG band that reads the electrical activity of the forearm muscles that actually drive the hand, which means it recovers contraction force directly rather than inferring it from motion. This distinction is the whole thesis: force cannot be reconstructed downstream of kinematics, because a hand squeezing hard isometrically and a hand resting can occupy the identical pose. Muscle signal is the only non-invasive channel that separates them.", "one_liner": "Force-sensing wristband for training robotic AI", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786491305, "tags": [ "Hard Tech", "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hemlock", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hemlock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hemlock-industries-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9593981f6acf78f7e8d4417ca9346aed3d279da4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2947535, "full_name": "Julian Olschwang", "title": "Founder/CEO", "founder_bio": "Founder at Hemlock. CMU Electrical and Computer Engineering dropout. 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Previously founded and scaled Parts World USA from sub-$100k to $3M revenue in 4 years by building global supply chains across China, India, Vietnam, Malaysia & USA. Founded Jumps Tronic (hardware manufacturing). Worked on ML at Facebook and HP. BS in Computer Science from Carnegie Mellon; Dropped out of ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-malhotra", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/403466207082fcec6636388b8a98bc53905bd948.jpg" }, { "user_id": 3185593, "full_name": "Kristof Floch", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Theseus Robotics, developing AI for humanoids that restock shelves and pick grocery orders. Previously VP of Technology at ETH Robotics Club, leading 120 robotics students across six teams. Researched high-performance learning-based control at ETH Zürich and SZTAKI. First-author publications in IEEE TCST and at ECC. ETH Zürich Excellence Scholar in Robotics, Systems and Control.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kristof-floch", "x_url": "https://x.com/kristof_floch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b4fc486294601139a191d8aea184d2510aa5880.jpg" }, { "user_id": 4027568, "full_name": "Ádám Weinhardt-Kovács", "title": "Founder/CPO", "founder_bio": "Founder/CPO at Theseus Robotics. Previously robotics engineer at Flink Robotics, where he led deployment of a pick-and-place system at live sorting centers achieving 800 picks/hour matching human performance. Designed full robotic work-cells and built custom pneumatic grippers. Published ML research on vehicle dynamics at IFAC SYSID 2024. MA in Robotics from ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-weinhardt/", "x_url": "https://x.com/AdamWeinhardt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49ba95ea880e2aa533b2c69d0ea69f567dcda74d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37732, "name": "Hundred", "slug": "hundred", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.png", "website": "http://hundred.systems/", "all_locations": "San Francisco, CA, USA", "long_description": "Hundred is an automated inspection system for the components that make up consumer devices like phones, smartwatches, and laptops. Hundred helps factories cut waste and prevent line-down issues by catching sub-millimeter cosmetic defects before parts reach the assembly line. \r\n\r\nIn the consumer electronics industry, designs change so fast that traditional machine vision can't keep up, forcing factories to rely on manual inspection, literally people checking parts under microscopes to sort out bad parts. Human inspectors miss roughly 15% of defects, and a single bad part can turn a finished device into scrap. Hundred is replacing manual inspection with an imaging rig that scans an entire shipping tray of parts at once. \r\n\r\nThe Hundred rig blocks ambient light and uses varied controlled lighting configurations to detect defects smaller than 100µm on a range of materials. The controlled environment means Hundred only needs to scan a single good part before it can find defects, categorize them, and assess their severity accurately.\r\n\r\nDefects cost U.S. discrete manufacturers $45 billion a year, a problem Hundred's CEO, Erica, saw firsthand as a mechanical engineer designing devices at Meta, Google, and Magic Leap. She met Imani, Hundred's CPO, at Columbia University's admitted-students day in 2017 and Imani went on to spend five years at Twitch building software that handles billions of requests a day. Erica later met Iris, Hundred's CTO, in the Bay Area. Iris worked as a quant at Citadel before pivoting to study at Imperial College London where she researched machine learning on 3D meshes and other structured data. Together, they're building Hundred because manual inspection shouldn't still exist in 2026.", "one_liner": "100% automated inspection for consumer electronics parts", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790785673, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "Computer Vision", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hundred", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hundred.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hundred-systems-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3535016, "full_name": "Erica Diaz", "title": "Founder/CEO", "founder_bio": "Erica is co-founder and CEO of Hundred (YC F26).\nPreviously spent 5.5+ years at Meta, Google, and Magic Leap designing hardware for consumer electronics, and resolving issues on the ground with vendors in China and Mexico.\n\nColumbia University, BS Mechanical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erica-diaz1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ec31907973b972abef2c8b6371b1ae58f453c85.jpg" }, { "user_id": 317644, "full_name": "Imani Gosserand", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO of Hundred (YC F26).\nPreviously Software Engineer at Twitch working at the intersection of notifications, short-form content, and ML.\n\nBS Computer Science from Columbia University", "is_active": true, "linkedin_url": "https://linkedin.com/in/imani-gosserand-804a10175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21384b93ca0a4b32ae2f6ed591a1d96b794799e0.jpg" }, { "user_id": 4149004, "full_name": "Iris Liao", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Hundred (YC F26).\nPreviously Quantitative Researcher at Citadel.\nSpent the last year researching machine learning methods on 3D meshes and other structured data. \n\nMSc Applied Mathematics, Imperial College London\nBA Mathematics, Columbia University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iris-liao-03b041152", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8c56193fe88be22d7e68840f5171512f9f41919.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 38492, "name": "Mantle", "slug": "mantle-2", "former_names": [ "Kyvore" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7073e1cf7c2495368d081bd479283a8c160179f2.png", "website": "", "all_locations": "San Francisco, CA, USA", "long_description": "Mantle is a full-stack field service company that deploys, fixes and maintains machines for the companies that build them. We're not a marketplace or software tool, we own uptime directly to provide better, more reliable service without burdening your engineers on support calls. \r\n\r\n$500B+ a year is spent to keep machines running in the US, we're coming for all of it.\r\n", "one_liner": "The pit crew for machines and robots.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790190684, "tags": [ "Hardware", "Robotics", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mantle-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/mantle-2.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7073e1cf7c2495368d081bd479283a8c160179f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1159251, "full_name": "Kieran White", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kieran-luke-white", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be1f2e4cf0534df456c1bb228513defaf8da7bc.jpg" }, { "user_id": 3268116, "full_name": "Graham Smith", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Babylon, the world’s largest fleet of autonomous vertical farms. Babylon raised $22M and deployed 400 farms with Compass, LinkedIn and American Airlines.\n\nBefore Babylon I scaled an electronics repair business I started at 14.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/graham-smith-a69572130", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df721112dac33cfa183258ca717c4e4d51e9a2b6.jpg" } ], "jobs": [], "news": [], "launches": [] } ]