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We are building teams that will pioneer the content generations space even further.", "one_liner": "Jasper is a leader in creating content using Artificial Intelligence", "team_size": 195, "industry": "B2B", "subindustry": "B2B", "launched_at": 1666106268, "tags": [ "Generative AI", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "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": "Jasper was founded in 2021, but its cofounders go back much further. 8 years ago, Dave Rogenmoser, JP Morgan and Chris Hull sat down and conceived the most wildly ambitious goal they could imagine at that point. 1. Start a company (doesn’t matter what)2. Make $6k/mo to support their families 3. Most importantly, their friendship and commitment to each other would supersede 1 and 2.After shutting down two failed SaaS companies, they finally started a digital marketing agency. Their first client was doing SEO for a porta-potty rental company for $300/mo. After a year, they pivoted and spent the next three years building a course company teaching all things marketing. Courses businesses are great for learning, but hard to scale. They decided they wanted to build a SaaS company and they wanted to go big. That meant we needed to get into YC." }, { "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": "The team decided to apply to Y Combinator because they wanted the foundation and acceleration to make a scaleable SaaS company happen. They initially applied with a company called Proof and were rejected because the idea was too small - more of a feature than a product. After the rejection, they kept building. They spent six months growing Proof and applied again. This time they had gone from zero to $175K in 10 months and refined their vision. The combination of vision plus traction landed them the spot in YC.“YC was amazing,” Dave Rogenmoser later recounted, “I can’t recommend it enough.” The team worked hard and kept dreaming of where the company was headed. The week after Demo Day they had raised $2.2M at a $12M cap. They moved to Austin, TX, and were on their way. Over the next two and a half years, the company worked hard on Proof, but in the fall of 2000, growth stalled and that feature-not-a-product challenge persisted. The founders made the hard decision to pivot and start anew with an AI company. " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Jasper went from launch to unicorn in 18 months. It’s one of the fastest-growing startups of all time, but like many startups the journey was longer than people may think. The founders first started working together eight years before Jasper’s Series A. They knew they wanted to build something together but took a few attempts to get to a product with traction. They started a marketing agency, then a learning platform, then a personalization and social proof company before hitting upon AI. When they saw generative AI in 2020, they knew how impactful it could be. With marketing roots, they had first-hand experience with the pain that many marketers feel keeping up with content demands and creating enough testing variations to produce good insights. The idea for Jasper started as a way to create and test ad variations, but they quickly saw how impactful it could be in long-form content and expanded into the AI platform you know today. Today Jasper is an AI platform built for growing businesses. When you give Jasper a prompt, it selects from a range of language models the right starting model for your use case, then it can add context about your business, reliable source citations and more current data to improve outputs for your business. In 2022, Jasper added an extension enabling users to call upon its AI-assistance anywhere they create. In 2023, Jasper introduced a collection of major new features for business users. Jasper now has tools for SEO, generating images, checking for plagiarism, collaboration and more. It is becoming an integral part of how businesses create content that resonates with their target audiences. With its ever-growing suite of features and capabilities, Jasper continues to make content creation easier than ever before for nearly a hundred thousand businesses and growing." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "For executives and content teams at growing companies, It’s impossible to keep up with content demands. The number of channels, campaigns and topics companies need to cover proliferate every year. It’s no longer enough to have a blog. You must have a blog, podcast, growing newsletter and social audiences across a half dozen different sites and communities. Every content creator knows the pain of staring at a blank page on a deadline, and this pressure leads our teams to chase word-count and produce lower quality content. 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These Two Moms Are Working on Tech Cures - WSJ", "url": "https://www.wsj.com/articles/parental-overload-these-two-moms-are-working-on-tech-cures-11592299801", "date": "Jun 16, 2020" } ], "launches": [] }, { "id": 22785, "name": "Supadock", "slug": "supadock", "former_names": [ "401 LABS Inc.", "401 Labs", "Javelin Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/44eaa170064932f0f6ff9f82a862bede5c2e3e68.png", "website": "https://getsupadock.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Physical operations still run on fragmented data, manual guard shacks, and paper lists that are difficult to verify. In yards and cross-docks across North America, facilities face surging cargo theft, strict compliance requirements (like CTPAT audits), and expensive labor bottlenecks. Moving from messy gate logs and high-risk manual workflows to fast, secure, autonomous access control usually requires breaking legacy systems or throwing more labor at the problem.\r\n\r\nSupadock is the multi-agent AI platform for physical logistics operations. We help 3PLs, logistics businesses, and fleets automate facility workflows—starting with the gate. Our agents make sense of visitor credentials, validate documents via bank-grade KYC, identify security gaps, and automate the SOPs needed to secure facility perimeters 24/7, while keeping human oversight for operational exceptions.\r\n\r\nUnder the hood, Supadock is a multi-modal learning engine. We connect intelligence across your entire facility stack—orchestrating phone calls, emails, text messages, documents, cameras, access control gates, and TMS APIs. The system captures live operational context that compounds into a living model of your business, bringing multi-agent AI into physical logistics operations one SOP at a time.", "one_liner": "Multi-agent AI for physical logistics operations", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1673215529, "tags": [ "Logistics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/supadock", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/supadock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/supadock", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/44eaa170064932f0f6ff9f82a862bede5c2e3e68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1acc1bc730c67e8a31b4a04f56890b8bfd7b285e.png" ], "primary_partner": null, "founders": [ { "user_id": 419151, "full_name": "Addwiteey Chrungoo", "title": "Founder", "founder_bio": "2x Founder. Roboticist. Girl dad.\nI build autonomous systems for a living. \nI've also run an actual freight company.\nBuilt self-driving vehicles for mines and highways.\nNow building the infrastructure that automates actions in the physical world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/addwiteey-chrungoo-06693320", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07d8317729e2105444fe7d242c87f0898611f6e2.jpg" } ], "jobs": [], "news": [ { "title": "Javelin Robotics' vision for autonomous trucks builds on Canadian expertise - Truck News", "url": "https://www.trucknews.com/technology/javelin-robotics-vision-for-autonomous-trucks-builds-on-canadian-expertise/1003176909/", "date": "Jul 20, 2023" } ], "launches": [ { "id": 68320, "title": "🚛 Javelin Robotics - Autonomous trucks helping drivers flourish", "tagline": "We are building autonomy software that tag-teams with human drivers", "body": "Hi 👋 [Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) and [Sandesh](https://www.linkedin.com/in/sandeshgwd/) here to introduce [Javelin Robotics](https://www.javelinrobotics.com/).\n\nWe help truckers **cut delivery times in half**, doubling productivity and adding much needed capacity to the freight industry. We do this by building autonomy software that tag-teams _with_ human drivers. \\\n\\\nConventional trucks drive \\~120K miles/year. Trucks with our tech can hit more than 190K miles/year. Since truckers make money by the mile, this has a direct impact on earnings. Watch [video](https://www.youtube.com/watch?v=hL_vNhlEzOM).\n\n### **Why should you care?**\n\nThere is this saying: If its in your home, a truck brought it. Nearly 72% of all freight in America is moved by hard working truckers. 3.5 Million of them. But unfortunately theirs is an ageing pool and not many young folks are joining the workforce. Those who do, frequently quit within a year - a leaky bucket. To add to that, trucks are expected to drive 57% more miles in the coming years to keep up with demand.\n\n### **But aren’t we expecting driverless trucks to solve this?**\n\nTo some extent yes, but fully driverless long haul solutions has its own constraints, new costs, new risks and require **major** operational changes to how freight is moved today (i.e. point to point, direct to destination). Driverless freight needs to be routed via hubs → 2x stops, 2x handoffs and offers limited operational flexibility / geographical reach. Most small and medium carriers need operational flexibility + geographical reach.\n\nSo if we look at driverless trucks as a tool, its clear they are necessary, but we need complementary solutions that seamlessly work for most.\n\n### **The solution**\n\nEngineer autonomy such that it makes our existing drivers most productive and happy. So, we are building autonomy software that’s designed from the ground up to tag-team _with_ human drivers.\n\nWe offer our solution as an end-to-end service: autonomous ready freight search, automated driving in service zones, effortless payments.\n\n![](https://lh4.googleusercontent.com/ohwis2MAaEYhyFZ_A7gxRCUgO6acSak3BzAD5rBNX5T5BDSrnaXTC9vZ9wx9U1AoU0H-rdrt5mfSS5_nxMY0m6f2JWq9UBQApkSzt_TmPPI_1nkfuc6TnjW0JwEa68r6pRSR98LHKrDAu1HHVTRRHrKlhLsj2wArEAh0aZkZfol97pO2knImqZliUBBlPw)\n\nFor truck drivers, having access to our software is like having access to a **second driver that drives on-demand.** This helps increase:\n\n* ⏳ **Productivity**\n* 🚛 **Trucking capacity**\n* 💰 **Driver and fleet revenue**\n\n### **How we are different?**\n\nWe’re _not_ building human-less trucks for a few large carriers.\n\nWe’re building the **most practical and driver friendly** autonomous system to serve 90% of the trucking industry\n\n* Using existing team driving model truckers are familiar with\n* Delivering both operational flexibility and geographical reach\n* _No need for_ new infrastructure, process changes or multiple hand-offs\n* In sync with current US [federal policy](https://www.whitehouse.gov/briefing-room/statements-releases/2022/04/04/fact-sheet-the-biden-administrations-unprecedented-actions-to-expand-and-improve-trucking-jobs/) related to trucker jobs\n* Similar monetary _savings_ for carriers, as driverless.\n\nOur tech stack’s architecture leverages advances in modern AI, making our dev 10x more capital efficient.\n\n### **About the founders:**\n\n![](https://lh4.googleusercontent.com/X6gKAXbkWpIjj_XRuOC_kTd3henCDJAnZNraOJGg1v6OfearPdJ1rUGqM9gtReiDo9PzeAnXXMvS6bRr-6ArDK_N4PoUazl5BK2N1pPmuPwiBPHSzKwQT9Grx8wyb2CszzCyR-OrlqQNduBd8WtyaToOy2qBNLjMljgMxw3-Mblqivn7RclfFEcCgOj0QA)\n\n[Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) met [Sandesh](https://www.linkedin.com/in/sandeshgwd/) at Caterpillar where they helped bring the world’s largest autonomous trucks into production. Together, they’ve built autonomous trucks for mines and public highways, from scratch.\n\nFor them, It's always been about _robots + people_.\n\n### **How you can help:**\n\nWe would love to chat:\n\n* If you or anyone in your network might be interested in learning more or helping out.\n* If you are a trucker or run a truck co.\n* If you are a shipper looking to ship faster.\n\n**Share this post!**\n\nPlease help spread the word. _(many truckers don’t realize autonomy can actually help)._ We can be reached at [founders@javelinrobotics.com](mailto:founders@javelinrobotics.com)", "url": "https://www.ycombinator.com/launches/Hlw-javelin-robotics-autonomous-trucks-helping-drivers-flourish", "votes": 16, "created_at": "2023-01-10T18:20:09.752Z" } ] }, { "id": 23431, "name": "Navattic", "slug": "navattic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d4a4ef6a3d05c5e0e6207e2f196eaafa06183e8.png", "website": "https://www.navattic.com/", "all_locations": "New York City, NY, USA", "long_description": "Navattic helps sales and marketing teams instantly create interactive product demos.", "one_liner": "Interactive product demos", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1614276980, "tags": [ "SaaS", "B2B", "Sales", "Marketing", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Marketing" ], "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/navattic", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/navattic.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/navattic", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/navattic", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d4a4ef6a3d05c5e0e6207e2f196eaafa06183e8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 428469, "full_name": "Neil McLean", "title": "Founder", "founder_bio": "Co-Founder, Navattic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neil-mclean/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e405a36cc6870d6eba36ef30375091c1a50483ca.jpg" }, { "user_id": 601331, "full_name": "Randy Frank", "title": "Founder", "founder_bio": "Co-founder, Navattic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/randy-frank/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/323de84acaab5a904b2d3582693a6278e78a15bf.jpg" }, { "user_id": 595808, "full_name": "Chris Hoyle", "title": "Founder", "founder_bio": "Co-founder, Navattic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-hoyle", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e33482dc3a3b497935ca4cc4c98975b8b9a2eaa.jpg" } ], "jobs": [], "news": [ { "title": "Navattic Raises $4.25M to Build the Future of Product-Led Growth | Navattic", "url": "https://www.navattic.com/blog/building-the-future-of-plg", "date": "Mar 17, 2022" } ], "launches": [] }, { "id": 24774, "name": "Opkit", "slug": "opkit", "former_names": [ "Layup" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2ce83eb7c5d1059e34b290c9fff4c171f343976.png", "website": "https://opkit.co/", "all_locations": "New York City, NY, USA; New York, NY, USA", "long_description": "Opkit uses AI to automate routine phone calls for medical practices, telehealth companies, and other leading healthcare provider organizations. Opkit's AI agent is capable of executing a wide-range of non-clinical phone call tasks, including Verification of Benefits, patient intake, and appointment scheduling, without human intervention. Opkit is HIPAA-compliant and SOC 2 Type 2 certified.", "one_liner": "AI phone calls for the US healthcare industry", "team_size": null, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1628564842, "tags": [ "SaaS", "Health Tech", "Digital Health", "Healthcare", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "Healthcare", "Healthcare IT" ], "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/opkit", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/opkit.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/opkit", "x_url": "https://twitter.com/realopkit", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/opkit", "github_url": "https://github.com/opkit-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2ce83eb7c5d1059e34b290c9fff4c171f343976.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/469b86589cc274ba6b8d0a9209cefbd746fcaa0e.png" ], "primary_partner": null, "founders": [ { "user_id": 282099, "full_name": "Sherwood Callaway", "title": "Founder/CEO", "founder_bio": "Sherwood Callaway is a 2x YC founder and software engineer with over ten years of experience in infrastructure, DevOps, and observability engineering roles top VC-backed startups, including Crunchbase and Brex. Currently, he is founder and CEO at Sazabi, the AI-native observability platform for fast-moving engineering teams. Sazabi is directly inspired by Sherwood's experience at Brex, where helped start the company's infrastructure and observability engineering teams.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/sherwoodcallaway/", "x_url": "https://twitter.com/shcallaway", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cff992998043fc6d5505a9c507528f4d1eb77ede.jpg" }, { "user_id": 662199, "full_name": "Justin Ko", "title": "Founder", "founder_bio": "Former early employee at Brex on Growth, Card, and Cash engineering teams. Before that, co-founder of SpeakGenius, an English learning tool. Studied entrepreneurship at the University of Southern California.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/justinmko/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9977d5788982fea85bbe5bc9dc72e88028449def.jpg" } ], "jobs": [], "news": [ { "title": "Opkit Rolls Out Back-of-Office Generative AI Call Center for Medical Practices With a Human-in-the-Loop Model - ACCESSWIRE", "url": "https://www.accesswire.com/897167/opkit-rolls-out-back-of-office-generative-ai-call-center-for-medical-practices-with-a-human-in-the-loop-model", "date": "Aug 07, 2024" }, { "title": "Opkit launches to tackle insurance verification for telehealth - Fierce Healthcare", "url": "https://www.fiercehealthcare.com/health-tech/former-fintech-engineers-launch-startup-aims-tackle-insurance-verification-virtual-care", "date": "Mar 13, 2023" }, { "title": "See the Pitch Deck YC Startup Opkit Used to Raise Venture Funding - Business Insider", "url": "https://www.businessinsider.com/opkit-pitch-deck-ycombinator-health-insurance-startup-seed-vc-funding-2023-3", "date": "Mar 07, 2023" }, { "title": "Opkit launches insurance verification tools for telehealth - Axios", "url": "https://www.axios.com/pro/health-tech-deals/2023/03/07/opkit-launches-insurance-verification-telehealth", "date": "Mar 07, 2023" }, { "title": "Opkit Launches First Insurance Verification Platform Designed for Telehealth Companies and Virtual Medical Practices - ACCESSWIRE", "url": "https://www.accesswire.com/741825/opkit-launches-first-insurance-verification-platform-designed-for-telehealth-companies-and-virtual-medical-practices", "date": "Mar 07, 2023" } ], "launches": [] }, { "id": 25338, "name": "Cozmo AI", "slug": "cozmo-ai", "former_names": [ "Zywa", "CozmoX AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b22096b578ff14b789d9b1882b55f7dc73e26f3.png", "website": "https://www.hellocozmo.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cozmo AI helps restoration franchisors, TPAs and adjusters put agents to work on US property insurance claims. Agents are autonomous AI workers that answer intake across all channels, coordinate crews and write up losses. Putting them to work means deploying across the full claim, from first notice of loss to crew dispatch and damage estimate to supplement approval. Work that took human teams days to weeks closes in minutes.\r\n\r\nCozmo is an operating system for the whole claim, end to end, and it runs on top of the estimating software, CRM and phone system already in place. Nothing gets ripped out and nothing gets migrated.\r\n\r\nThis allows operators to run more jobs per adjuster and send estimates that clear review the first time. On the carrier side, the same work cuts cycle time to hours and leaves a line-item record of every loss, so risk can be priced by property instead of by ZIP code.\r\n\r\nCozmo's platform captures context from every claim it touches and gets sharper with each one.\r\n\r\nGo to hellocozmo.ai and book a demo to see the Cozmo AI agents in action.", "one_liner": "End-to-end AI agents for property claims, from loss report to estimate", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1644299294, "tags": [ "Insurance", "Enterprise", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "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/cozmo-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cozmo-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cozmox-ai", "x_url": "https://x.com/cozmoxai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b22096b578ff14b789d9b1882b55f7dc73e26f3.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": 597610, "full_name": "Alok Kumar", "title": "Founder/CEO", "founder_bio": "Love building and shipping 🔥", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alokhk/", "x_url": "https://x.com/ak_cozmo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c839ed614a298679eb6aca40e9bdc690daf487a.jpg" }, { "user_id": 714894, "full_name": "Nuha Hashem", "title": "Founder/CTO", "founder_bio": "Building the future of work at Cozmo 🚀", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nuhahashem/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c209566077cff5fd4de0f4119807eb371a71f2e2.jpg" } ], "jobs": [ { "id": 103217, "title": "Agent Product Manager", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/sgwDFZc-agent-product-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.04% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103439, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/yZj5zoB-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.14% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103440, "title": "Founding GTM ", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/8ikndus-founding-gtm", "location": "New York, NY, US / FL, US / San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $500K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103441, "title": "Applied ML Engineer", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/YFtovo3-applied-ml-engineer", "location": "New York, NY, US / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$100K - $240K", "equity_range": "0.20% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "YC-backed Zywa, a neobank for Gen Z, raises $3M to expand across MENA – TechCrunch", "url": "https://techcrunch.com/2022/08/23/yc-backed-zywa-a-neobank-for-gen-z-raises-3m-to-expand-across-mena/", "date": "Aug 23, 2022" }, { "title": "Teen NeoBank Zywa raises $1M Pre-SEED | MAGNiTT", "url": "https://magnitt.com/news/zywa-1m-pre-seed-53201", "date": "Mar 28, 2022" }, { "title": "Y Combinator backs Dubai-based teen neobank Zywa, closing $1m pre-seed round - News | Khaleej Times", "url": "https://www.khaleejtimes.com/business/y-combinator-backs-dubai-based-teen-neobank-zywa-closing-1m-pre-seed-round", "date": "Mar 28, 2022" }, { "title": "Zywa closes a $1 million pre-Seed round backed by Y Combinator", "url": "https://mystartupworld.com/zywa-closes-a-1-million-pre-seed-round-backed-by-y-combinator/", "date": "Feb 08, 2022" } ], "launches": [ { "id": 98015, "title": "Cozmo AI: The system of work for enterprises in financial services and insurance", "tagline": "Multimodal AI employees that see, speak, think and run operations", "body": "Hey everyone, we’re [Nuha](https://www.linkedin.com/in/nuhahashem/) and [Alok](https://www.linkedin.com/in/alokhk/) from [Cozmo AI](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n**TL;DR** \n\nWe help banks, insurers and lenders deploy multimodal AI employees that interpret documents and videos, speak with customers in real time, think using your policies and do the work in your core systems.\n\nCheck out our [launch video](https://youtu.be/IGypdMioyIo).\n\n**❌ The problem**\n\nIf you’ve ever seen how a real customer operation gets handled inside a large company, you’ll notice the conversation is usually the shortest part. Most of the time goes into opening 6-10 tools, finding history, checking documents, verifying details and recording what happened afterwards.\n\nWe ran into such issues while building a fintech product and spending months embedded with support and operations teams. A support case that looked “simple” from the outside often meant 40 minutes of prep and follow-up wrapped around an 8-minute customer interaction. The work was more around moving data and decisions across messy systems than actually talking to customers.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/df0f9156-23c1-46c6-b05f-93060b590053)\n\nTo handle these cases, we built an internal system that could understand a case end-to-end and take actions across systems automatically. During a demo, a partner stopped us and asked for that system instead of the fintech product itself.\n\nThat became Cozmo.\n\n**✅ How Cozmo is solving it**\n\nCozmo is a system of work for complex enterprise operations, starting with financial services and insurance. Companies use Cozmo to build and deploy AI employees, which are a collection of agents that own workflows end to end. They talk to customers, read documents, interpret videos, apply company policies and update systems like Guidewire, Temenos and Salesforce, pulling humans into the loop only when real judgment or escalation is needed.\n\nEvery decision the AI employee makes is logged, including its reasoning and policy reference, providing a complete audit trail for compliance and operations without additional manual effort. This is managed by our proprietary Agent Protocol Engine (APE), the control layer that keeps shared context, enforces policy and ensures every step is tracked for regulated industries.\n\nCozmo is live with 10+ enterprises, including Fortune Global 500s like Nestlé, and has already handled over 1M production calls and 10M interactions; cutting costs by up to 70% and turning roughly 1 in 13 conversations into revenue.\n\n[Watch Cozmo in action.](https://youtu.be/ek8eE1bXOnU)\n\n**🧬 What’s unique about Cozmo**\n\nMost AI tools are just prompt trees with a UI. They’re fine for neat, repetitive tasks; but they fall apart the moment operations get messy, ending in half‑filled tickets, off‑script collection calls and disputes scattered across systems.\n\nCozmo is built for that mess:\n\n* **Multimodal by default:** One platform to spin up AI employees that handle inbound and outbound calls, read PDFs and scanned forms, understand video and talk to customers in a single, continuous flow.\n* **Runs on intent, not prompts:** You give it responsibilities and policies like a new hire, instead of maintaining endless prompt chains. As new case patterns appear, the AI employee adapts behavior without you rewriting a graph of scripts.\n* **APE-powered coordination:** A single Cozmo “employee” is actually a coordinated team of agents, driven by our Agent Protocol Engine (APE), running an internal loop: planning, delegating, checking and rechecking across systems until the case is closed, not just until a workflow box is ticked.\n\nSo instead of a scripted bot, you get something that behaves much closer to a high‑performing operations hire: it keeps context, chases down loose ends and keeps pushing the work forward without you needing to orchestrate every move.\n\n**🚀 Our story**\n\nNuha and Alok have been friends for over 11 years. We scaled a regulated fintech together in Dubai, navigating one of the most demanding regulatory environments in the world. When the regulations and market changed, we were forced to shut it down. We built AI employees to manage the fintech ourselves on cockroach mode, handling communications and documentation across every affected account. \n\nThat system worked, and when a partner saw it, they asked to buy it instead. So we moved from Dubai to San Francisco to build Cozmo. \n\nThree years, two countries, 180 pivot, and we’re still going.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/4501b459-03fa-4135-9389-d407946bd5ec)\n\n 🎯 **Our Ask**\n\nWe’re onboarding new enterprise customers in financial services and insurance. If you (or someone you know) run claims, collections or large-scale operations at a bank or insurer, we’d love to connect.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n———————————\n\n🌐 Check our website [here](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n📆 Book a demo [here](https://meetings.hubspot.com/alok-k?utm_source=yc-launch&utm_medium=listing&utm_campaign=demo).\n\n✉️ Contact us at [founders@cozmox.ai](mailto:founders@cozmox.ai).", "url": "https://www.ycombinator.com/launches/PUt-cozmo-ai-the-system-of-work-for-enterprises-in-financial-services-and-insurance", "votes": 38, "created_at": "2026-02-20T18:53:08.358Z" } ] }, { "id": 25356, "name": "Spinach AI", "slug": "spinach-ai", "former_names": [ "StayIn Inc.", "spinach.io", "Spinach.io" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f61bbbf466e48b6d79b3f115c8246567eb41a8.png", "website": "https://spinach.ai", "all_locations": "Nashville, TN, USA; Remote", "long_description": "Backed by Y Combinator, Zoom and Atlassian, Spinach AI is the system of action for conversation data. Industry leaders like Abnormal AI and eToro use Spinach to capture and transform raw conversations into structured knowledge that powers people, agents, and LLMs across the enterprise, driving productivity for workers and strategic insight for leaders.", "one_liner": "The System of Action for Conversation Data", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1641876509, "tags": [ "SaaS", "Productivity", "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/spinach-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/spinach-ai.json", "year_founded": 2021, "city": "Nashville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/spinach-ai/", "x_url": "https://twitter.com/spinach_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/spinach-1b82", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f61bbbf466e48b6d79b3f115c8246567eb41a8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 839578, "full_name": "Matan Talmi", "title": "Founder/CEO", "founder_bio": "🥬 2x founder/CEO, passionate about conversation intelligence & AI\n🥬 Building Spinach AI, the system of record for conversation data \n🥬 Backed by Y Combinator, Zoom & Atlassian \n🥬 Capture conversations so AI can execute \n🥬 Get started free at Spinach.ai\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matantalmi/", "x_url": "https://twitter.com/talmixed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b217088fd7211594883cc8078c7207893bc241d.jpg" }, { "user_id": 868160, "full_name": "Yoav Grossman", "title": "Founder/CTO", "founder_bio": "Building the AI Meeting Assistant at 🥬 Spinach AI, backed by Y Combinator, Zoom & Atlassian. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yoavgrossman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65fe4e18c56c738fda2b97a2867db9c495bf3d60.jpg" }, { "user_id": 868148, "full_name": "Josh Willis", "title": "Co-Founder, VP Product and User Experience", "founder_bio": "Love user experience. AI is making this so interesting!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/getmorejosh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5110e722452274677b752bb6c6b6b93f8a3d97b.jpg" } ], "jobs": [], "news": [ { "title": "Spinach.io wants to help agile engineering teams run better online meetings – TechCrunch", "url": "https://techcrunch.com/2022/08/02/spinach-io-wants-to-help-agile-engineering-teams-run-better-online-meetings/", "date": "Aug 02, 2022" } ], "launches": [ { "id": 66829, "title": "🥬 Spinach.io for Google Meet", "tagline": "Better daily standups in Google Meet", "body": "**TL;DR**\\\nUse [Spinach.io for Google Meet](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) to align as a team in one visual space. No screen sharing or context switching. A faster, more-focused daily standup with instant notes. Free forever for one team.\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/82892fa5-1a08-4476-87cb-14851fbc28a7)\n\n**What’s** [**Spinach.io**](http://Spinach.io)**?**\n\nA great standup can save teams hours of confusion and misalignment. The problem is that most standups aren’t that great. People aren’t always prepared so they think out loud. It’s not engaging so people tune out. It’s easy to lose focus and stray off topic. If any of this sounds familiar - please give [Spinach.io](http://Spinach.io) a try and tell us what you think!\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/baa2ba9d-7d8b-4fe1-bb2b-eba6041ab9de)\n\n🥬 **Before standup** - each team member prepares their check-in. You can choose from default Yesterday, Today, Blockers categories or create your own. Organizing your thoughts and planning your day helps you share meaningful context instead of trying to recall what you did yesterday.\n\n🥬 **During standup** - running a great standup takes work, and we do it for you. Spinach rotates through each persons’ check-in so there’s no deciding “who goes next”. If you have additional topics to discuss with the team add them to Team Topics and they’ll get added to the agenda.\n\n🥬 **After standup** - instant notes automatically posted to Slack and saved in app for future reference. Easily share status with stakeholders or catch up if you missed standup.\n\n🥬 **Async friendly** - we support async standups for days where you just want to share status updates but don’t have any blockers or other important topics to discuss.\n\n**How to try it**\n\n1\\. [Add our Chrome Extension](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) and sign up\n\n2\\. On your next standup - join Google Meet and click the “S” icon on the bottom right to open Spinach in Meet\n\n[Spinach.io](http://Spinach.io) is free forever for one team and most teams who try it never go back. [Give us a try!](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig)", "url": "https://www.ycombinator.com/launches/HNt-spinach-io-for-google-meet", "votes": 18, "created_at": "2022-10-20T11:52:37.248Z" }, { "id": 64195, "title": "Spinach.io - 🥬 Crush your daily standup", "tagline": "We help dev teams run faster, more-effective daily standups", "body": "**TL;DR**\\\nMost dev teams have standup every single day. If standup isn’t great, the team suffers daily. Spinach helps dev teams turn their standup into an optimized flow, build healthier meeting habits, and get time back every day. The best part? Try it for free!\n\n**How it works**\\\n**Before standup**\\\nSpinach reminds you to prep in Slack. Each person enters their updates in Spinach.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/22db4952-4d8b-4816-9f7e-6e4632915d82)\n\n**During standup**\\\nSpinach rotates through each person so there’s no fumbling with “who goes next.”\n\nYou can see each person’s update and how long they’ve been speaking.\n\nHave something to discuss? Add it to Team Topics and Spinach will bring it up at the end to keep things moving.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/9d919583-9a63-4921-89c4-24f9dddfd3ed)\n\n**After standup**\\\nSpinach keeps a summary and automatically posts it to Slack. You’ll have a record of all of your previous standups in the app.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/b5fc1850-db72-44bd-808c-54d7c28d5a22)\n\n**Results**\n\n1. **Get time back** _“What took people 10 minutes to cover before, they can now cover in 15 seconds”_ - Austin from Lovage Labs\n2. **Each update is clear** _“When the team is prepared, the updates are more articulate and standup goes stupid fast”_ - Oded from Asurion\n3. **Focused on sprint goals**- _“Spinach saves all the discussion topics til the end. That was really hard to enforce before”_ Rebecca from Freedom Financial\n4. **Summary in Slack**- _“I love seeing today what I said I would do yesterday. It keeps us all accountable”_ Suhas from Courier\n\n**How to try it**\n\n**Try:** Go to [Spinach.io](https://www.spinach.io?yc) and try it for yourself. No demos. No credit cards.\n\n**Share:** Let us know what you think! Have friends who run standups? Please tell them they can get time back every day with Spinach.\n\n**Save:** Try it free!", "url": "https://www.ycombinator.com/launches/GhP-spinach-io-crush-your-daily-standup", "votes": 110, "created_at": "2022-06-29T20:59:08.156Z" } ] }, { "id": 26690, "name": "Truva", "slug": "truva", "former_names": [ "Protego", "Immuna" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba9e5d56fa5dcbae0584f3529d576be10b251a7.png", "website": "https://www.truva.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals. Many teams have seen up to 25% increase in sales where Truva's AI agents automated tedious tasks such as email follow up, CRM data entry, and process optimizations.", "one_liner": "Sell more. Grind less with AI agents.", "team_size": 23, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1659500031, "tags": [ "B2B", "Sales", "Sales Enablement", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "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/truva", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/truva.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/truva-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba9e5d56fa5dcbae0584f3529d576be10b251a7.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": 331716, "full_name": "Gaurav Aggarwal", "title": "Founder", "founder_bio": "A builder at heart, Gaurav spent nearly a decade leading technical teams for large tech companies such as Google, LinkedIn, and Microsoft and exited an applied AI startup Sleek. At Sleek, he led product and engineering using AI to accurately detect wait times from multiple data sources at popular venues. Sleek's unique technology was featured on Forbes AI 50 list, making him a Forbes 30 under 30 honoree.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaurava91/", "x_url": "https://twitter.com/gaurav_aggarwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f756878351c048afa97ec987f6ffdf98aa994086.jpg" }, { "user_id": 374275, "full_name": "Anuja Verma", "title": "Founder", "founder_bio": "Anuja is passionate about making humans more efficient, and AI Agents are an instrument for achieving that. At Truva, she is helping businesses achieve new heights in operational efficiencies. Prior to that, she was a veteran technical leader at Amazon, where she solved deep technical problems across Transaction and Risk Management, Alexa, and AWS organizations for about a decade. She has an MBA from Haas School of Business, the University of California Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anujaverma1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d6f1a32326f9975d6ce6c9a93cced2f2410ede5.jpg" } ], "jobs": [], "news": [ { "title": "CRM Giant Taps YC-Backed Startup to Accelerate Next-gen AI platform | Entrepreneur", "url": "https://www.entrepreneur.com/en-in/news-and-trends/crm-giant-taps-yc-backed-startup-to-accelerate-next-gen-ai/494628", "date": "Jul 15, 2025" }, { "title": "AI Agents Startup Secures $4M to Revolutionize Customer Onboarding & Retention | Entrepreneur", "url": "https://www.entrepreneur.com/en-in/growth-strategies/ai-agents-startup-secures-4m-to-revolutionize-customer/474513", "date": "May 22, 2024" } ], "launches": [ { "id": 85127, "title": "Truva - Sell more. Grind less with AI agents.", "tagline": "Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals.", "body": "**TL;DR:** Truva is a Sales AI Agents platform that takes care of the tedious tasks—like email follow-ups and CRM data entry—so your team can focus on what truly matters: selling more.\n\nHi everyone, we’re [Anuja](https://www.linkedin.com/in/anujaverma1/) and [Gaurav](https://www.linkedin.com/in/gaurava91/) from Truva AI, and we’re thrilled to introduce [Truva](https://truva.ai) to sales teams everywhere!\n\nSales reps spend hours on manual tasks like CRM updates, lead enrichment, and follow-ups. This time-consuming admin work leads to missed opportunities, inconsistent data, and inaccurate forecasts. Not only does it frustrate sales teams, but it also stalls revenue growth.\n\n![uploaded image](/media/?type=post&id=85127&key=user_uploads/331716/987d62fa-4a6a-41db-b85b-95790f8a4b51)\n\n**The Solution**_:_ Truva is a Sales AI agents platform that takes over the repetitive CRM tasks your team doesn’t want to handle. With Truva, you get an AI-driven platform that captures, organizes, and updates CRM data seamlessly. Covering everything from online meetings and emails to voice notes, Truva ensures every important detail is accounted for, letting you stay focused on selling. Here’s how Truva can transform your sales workflow:\n\nCheckout Truva: \n\n* **Comprehensive Sales Activity Tracking-** Truva automatically tracks every interaction—from online meetings and in-person conversations to emails and voice memos—extracting key insights aligned with both custom and standard sales frameworks. It has your sales conversations covered, hassle-free.\n* **Always-On CRM Updates-** Truva keeps your CRM structured, accurate, and up-to-date in real time. Say goodbye to manual data entry; instead, rely on an updated CRM you can trust.\n* **AI-Powered Follow-Ups, Right on Time-** Truva identifies critical next steps and drafts personalized follow-up emails based on meeting details, ensuring no opportunity slips through. Follow-ups are timely, relevant, and automatic.\n* **Advanced Sales Analytics & Insights-** Gain actionable insights: Truva analyzes prospect sentiment, engagement, and communication patterns, providing the data you need to refine your pitch and boost conversion rates.\n* **Real-Time Alerts & Customizable Data Fields-** Stay on top of every conversation with real-time notifications, automated task creation, and customizable data mapping to the CRM fields that matter most.\n\n**And this is just the beginning…**\n\n**The Vision: A Sales Sidekick for Every Rep** 🦸‍♂️🦸‍♀️ Our long-term goal is for Truva to be the AI “Sidekick” to your sales “Superhero.” Acting as an orchestration layer across all your tools, Truva automates the busywork, so you can focus on closing deals and driving growth.", "url": "https://www.ycombinator.com/launches/M91-truva-sell-more-grind-less-with-ai-agents", "votes": 459, "created_at": "2024-10-29T17:31:28.285Z" } ] }, { "id": 26693, "name": "SigmaMind AI", "slug": "sigmamind-ai", "former_names": [ "PayO (Neo Trade", "Inc.)", "PayO", "Sigma AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4857d95e94326dab2796fc4935e39cb912bd34e3.png", "website": "https://sigmamind.ai?utm_source=yc&utm_medium=web", "all_locations": "San Francisco, CA, USA", "long_description": "SigmaMind AI is a platform for building voice AI agents purpose-built for call centers. Our agents make and answer calls for lead generation, appointment setting, follow-ups, collections, customer intake, and basic support. Instead of replacing the phone systems a center already uses, we connect on top of them. Because the AI handles many calls at once, a call center can reach far more people than a human team, lower its cost per lead, and stop wasting agent time on calls that go nowhere. Our customers are usually non-technical operators running centers with 25 or more agents, with the strongest traction in insurance, home services, solar, and lending.", "one_liner": "Voice AI platform purpose-built for contact centers.", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1653235676, "tags": [ "SaaS", "B2B", "Call Center", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B" ], "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/sigmamind-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sigmamind-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sigmamind-ai/", "x_url": "https://twitter.com/sigmamind_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4857d95e94326dab2796fc4935e39cb912bd34e3.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": 513633, "full_name": "Ashish Agarwal", "title": "Founder", "founder_bio": "Co-Founder at SigmaMind AI- voice/chat AI platform for call-centers and enterprises \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/agarwalashish101/", "x_url": "https://twitter.com/_ashishagarwal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31d3f2d3346eba806fadd9b822ff6f9c073d6926.jpg" }, { "user_id": 1016312, "full_name": "Pratik Mundra", "title": "Founder", "founder_bio": "Co-founder at SigmaMind AI, Previously founded a Clean Energy business, Ex- Goldman Sachs", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/mundrapratik90/", "x_url": "https://twitter.com/mundrapratik90", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2b7e161e6014db277f6c321a7f6e1336afddd08.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 76739, "title": "SigmaMind AI - Automate customer support with AI 🚀", "tagline": "We help e-commerce brands automate their customer support using AI", "body": "Hi, we are [Ashish](https://www.linkedin.com/in/agarwalashish101/) and [Pratik](http://www.linkedin.com/in/mundrapratik90/), founders of [**SigmaMind AI**](https://sigmamind.ai/?utm_source=yc&utm_medium=web) - an AI platform to automate customer support for brands and call-centers.\n\nWe came to work on this idea when we were ordering food from a food delivery service and had to wait almost 15 minutes to talk to an agent - leaving us frustrated. After talking to E-commerce companies, we realized the problems they faced and decided to find a solution.\n\n**Problem:** E-commerce brands are overwhelmed by the increasing volume of customer inquiries, leading to slow response times, frustrated customers, high support costs, and lost sales.\n\n* Limited support 🚫: Current support models lack 24/7 availability, causing missed inquiries and lost opportunities.\n* Delayed responses 🕐: Long wait times and inaccurate information frustrate customers and damage brand perception.\n* Inconsistent communication 😕 : New agent training leads to conflicting information and inconsistent brand messaging.\n* Inefficiency and High Cost: Agents waste time on basic questions, hindering their ability to solve complex issues and prevent problems.\n\n**Solution:** SigmaMind AI seamlessly integrates with your Shopify store and Gorgias to automatically resolve customer tickets, freeing up your human agents for more complex issues. Our powerful AI can:\n\n* Respond to frequently asked questions about products, orders, shipping, and returns.\n* Suggest personalized product recommendations based on individual customer preferences.\n* Create subscriptions on Recharge, cancel orders on Shopify, and tag tickets appropriately.\n* Close tickets automatically once the issue has been resolved.\n* Generate draft responses for human agents, saving them valuable time.\n* Learn from your Shopify store, past tickets, FAQs, and other data sources to ensure accurate and personalized support.\n\n**How does it work?**\n\n[Check out this short demo video](https://youtu.be/6RgqHcCJ5Ew?si=PuxtgQyPoGlIcsLm)\n\nSigmaMind AI works within helpdesk tools like Zendesk/Gorgias and needs to be linked to your Shopify store. It has 2 modes - Autopilot and Co-pilot.\n\n* In Autopilot mode, it will automatically send responses to customer tickets, take any action like creating a subscription on Recharge or cancel an order on Shopify, tag the ticket appropriately, and close it. You can set up this custom workflow on the SigmaMind AI dashboard.\n\n ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/baebbd2a-79a9-440e-b611-993d3d991f01)\n\n ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/4b56ceae-2b59-4be4-b472-7cd3685374c5)\n\n* In Co-pilot mode, AI will suggest response drafts for any incoming ticket which can be used by the support agent to send a response.\n\n ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/e2159a15-3bf2-4e93-a0c6-a313a26d82a5)\n\n\nYou can set up the AI brand voice and tone on the SigmaMind AI dashboard to customize the AI for your brand. This enables you you create a truly personalized AI for your brand.\n\n![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/a3932108-9752-4e73-89be-e49bf4b2ec85)\n\nIt integrates with other tools like Recharge, Loop Returns, and Skio as well. It tackles frequently asked questions about products, orders, shipping, and returns, freeing up your team for more complex issues. SigmaMind AI learns from your Shopify store, past tickets, FAQs, help docs, and other third-party systems, ensuring accurate and personalized support.\n\n**Our Ask**\n\n1. Refer any E-commerce brands, Shopify agencies, or Customer support managers in your network. Referral bonus 💰 for every lead converted. Email us at [hello@sigmamind.ai](mailto:founders@sigmamind.ai) to connect.\n2. If you own a Shopify store, please [book a demo](https://calendly.com/sigmaai/sigma-ai-demo-30-mins) with us to see SigmaMind AI in action. Special deal for YC companies! ❤️", "url": "https://www.ycombinator.com/launches/Jxj-sigmamind-ai-automate-customer-support-with-ai", "votes": 12, "created_at": "2023-12-07T17:16:27.387Z" } ] }, { "id": 28111, "name": "Berry", "slug": "berry", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59005c33d3a0d40259f58fdc4a12bc21a5d29d73.png", "website": "https://berryai.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Berry offers an AI CSM that scales customer success for SaaS companies.\r\n\r\nEvery post-sales organization faces the challenge of scaling customer success without having to hire more. Berry combines the best of the two worlds - taking the white-glove onboarding experience and offering it at scale. \r\n\r\nOur AI CSM onboards, trains and grows accounts for you non-stop. It’s a 10x hire to your team - at a fraction of the cost.", "one_liner": "Scale customer success and onboarding with AI ", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1673362428, "tags": [ "Generative AI", "Customer Success", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "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/berry", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/berry.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/berryhq/", "x_url": "https://twitter.com/berryapphq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/59005c33d3a0d40259f58fdc4a12bc21a5d29d73.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 161367, "full_name": "Ann Chan", "title": "Founder", "founder_bio": "Ann Chan is the Co-founder & CPO of Berry. Prior to Berry, Ann drove Facebook’s user growth and was one of the first PMs that helped launched Meta's first smart AR glasses. She previously co-founded a grocery e-commerce startup and started her career as a UX designer. \n\nOriginally from Hong Kong, Ann studied Economics at University College London, before moving to the bay area. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/annchanyt", "x_url": "https://twitter.com/annchanyt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb926ae32146f404d3ea1f477e314970dc78d5c4.jpg" } ], "jobs": [ { "id": 67226, "title": "Founding Full Stack Engineer - LLM, Applied AI (no prior LLM experience required)", "url": "https://www.ycombinator.com/companies/berry/jobs/zyTnhbD-founding-full-stack-engineer-llm-applied-ai-no-prior-llm-experience-required", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$50K - $85K", "equity_range": "0.10% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "TypeScript", "Machine Learning" ] } ], "news": [], "launches": [] }, { "id": 28118, "name": "Vocode", "slug": "vocode", "former_names": [ "Brush" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png", "website": "https://vocode.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Open source voice AI.\r\n\r\nCheck out our docs for more information: https://docs.vocode.dev", "one_liner": "Open source Voice AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1677630945, "tags": [ "Developer Tools", "Generative AI", "Open Source", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "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/vocode", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vocode.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vocode-dev/about/", "x_url": "https://twitter.com/vocodehq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vocodedev/vocode-python", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/34c808535d8ad7173a1321fbec53a480ec8f79f2.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 782661, "full_name": "Kian Hooshmand", "title": "Founder", "founder_bio": "Working on something new. Formerly @Vocode, @Brex, and Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kianhooshmand/", "x_url": "https://twitter.com/kianhooshmand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2fb5098e00455e0e2c9e3417e83276e09ea3579.jpg" }, { "user_id": 1211361, "full_name": "Ajay Raj", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajaynraj/", "x_url": "https://twitter.com/ajaynraj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac4802910a6f72c293baea99b140b6bc910243fe.jpg" } ], "jobs": [], "news": [ { "title": "Vocode: Conversational AI Startup Raises $3.25 Million in Fresh Funds", "url": "https://www.businessinsider.com/vocode-conversational-ai-startup-raises-3-25-million-in-fresh-funds-2024-2", "date": "Feb 08, 2024" } ], "launches": [ { "id": 69813, "title": "🤖 Vocode: Open source voice AI on top of LLMs", "tagline": "Build conversational agents in less than 10 lines of code", "body": "**TLDR:** Vocode makes it easy for developers to build voice-based LLM applications. Using Vocode, developers can integrate realistic voice AI in product flows or to automate interactions like phone calls in 10 lines of code. [**Watch our demo**](https://vocode.dev?utm_source=bookface&utm_medium=website&utm_campaign=launch_yc)😀\n\nHi everyone! Ajay and Kian here representing Vocode – we are on a mission to build the most realistic, production-ready conversational voice AI to power the future of human <> computer interactions.\n\n![uploaded image](/media/?type=post&id=69813&key=user_uploads/782661/2d32781c-f34c-4c26-8f70-c018e66a4255)\n\n### Problem: voice interfaces are useful but hard to build\n\nTo build a realistic voice interface, you have to orchestrate several pieces – speech recognition, AI/Natural Language Understanding, and speech synthesis – in real time while managing the asynchronous and imperfect nature of human conversation.\n\nBut voice is our most natural communication medium and is applicable in practically every industry (healthcare, sales, customer service, etc). Many products and services _would_ have voice interfaces or voice automation.. but don’t due to the complexity.\n\n### Vocode makes it easy\n\nVocode makes it easy for developers to build voice interfaces through composability. Vocode orchestrates everything in real time and provides tools out-of-the-box for common workflows.\n\nCompanies can now focus on their core product/vertical and use our library to dramatically reduce the complexity and engineering time required to build voice into their applications.\n\n### Why now?\n\nWe’re at an inflection point where speech recognition/synthesis/AI are all improving at breakneck speed and we think this will lead to a massive boom in voice interfaces. Vocode wants to be the developer platform for building these voice interfaces.\n\nThe existing market is either too focused on custom enteprise use cases or not easy enough to use. Vocode will make it 10x faster to build voice apps through composability and the developer ergonomics we’re used to with other dev focused products (eg Stripe).\n\nIf you’re interested in what we’re building, check us out at [vocode.dev](https://www.vocode.dev/) and drop us an email/request access to our private beta!", "url": "https://www.ycombinator.com/launches/IA1-vocode-open-source-voice-ai-on-top-of-llms", "votes": 29, "created_at": "2023-03-01T15:49:57.823Z" } ] }, { "id": 28417, "name": "Yuma AI", "slug": "yuma-ai", "former_names": [ "Yuma" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.png", "website": "https://yuma.ai", "all_locations": "Boston, MA, USA", "long_description": "## What is Yuma AI?\r\n\r\nYuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce.\r\n\r\nWe integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests.\r\n\r\nTop merchants using Yuma can automate up to 80% of their support tickets fully autonomously.\r\n\r\n## Why do Shopify merchants need Yuma?\r\n\r\nThere are thousands of large Shopify merchants around the world generating $10M+ a year. Most of them have taken over some niches and are great at what they do: selling their products.\r\n\r\nBut they all have one thing in common: they all hate customer support. It's a burden for them and a huge source of cost, as they receive hundreds of requests per day. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor while staff turnover remains high.\r\n\r\nThose merchants have been promised automation for years but have always been disappointed by the outcome. As customers, we have all had to live through a terrible support automation experience before, so this is no secret, and everyone knows that the current state of the technology is quite bad.\r\n\r\n## Yuma is solving this in a few ways:\r\n\r\nYuma isn't just another RAG chatbot. Our platform provides autonomous AI agents dedicated to support and ecommerce.\r\n\r\nThese agents are powered by knowledge, follow processes, and are managed by our in-house AI orchestration technology. This ensures safety, control, and quality at every step.\r\n\r\nWe believe that to truly automate customer support, we must develop a platform that mimics the actions of a human support agent. That's exactly what we've been doing.\r\n\r\nCurrently, our top merchants are automating 60% of their support tickets through Yuma. Yuma can fetch information from external services and take actions in other apps as needed to resolve each ticket.\r\n\r\nWe are laser-focused on building the best AI support agent platform and aim to achieve 80% true automation in the next few months.\r\n\r\n## Fun Fact\r\n\r\nYuma got started by accident. This is my third YC startup after Socialcam (W12) and Triplebyte (S15). I released Yuma as a prototype for fun in mid-December 2022 and was overwhelmed with demo requests. That's when I knew I was onto something and had to turn this into a real company, once again.", "one_liner": "The AI Support Agent for Ecommerce", "team_size": 26, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1677585502, "tags": [ "Customer Support", "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "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/yuma-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/yuma-ai.json", "year_founded": 2023, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/yuma-ai/", "x_url": "https://twitter.com/yuma_dot_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.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": 37163, "full_name": "Guillaume Luccisano", "title": "Founder", "founder_bio": "Currently Founder @ Yuma (W23) - Previously Co-Founder at Triplebyte (S15) & Socialcam (W12) - Seed Investor in 60+ companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guillaumeluccisano/", "x_url": "https://twitter.com/luckwi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c11c755fbf5b493b7b1ddd8ea8d3ddaf32a9210.jpg" } ], "jobs": [], "news": [ { "title": "Yuma Raises $5M to Transform Ecommerce Customer Support with Advanced AI Agents", "url": "https://yuma.ai/news-announcements/yuma-ai-raises-5-million-to-transform-e-commerce-customer-support-with-advanced-ai-agents", "date": "Oct 31, 2024" } ], "launches": [ { "id": 116594, "title": "Yuma Voice: Your AI support agent now answers the phone", "tagline": "AI phone support for brands. Resolves requests and takes real actions, with a unified, single Handbook to define the rules for your AI agents across every channel.", "body": "👋 We are Yuma, YC W23, and since 2023, We have automated millions of customer conversations for retail & ecommerce brands.\n\nToday we're launching Yuma Voice. The same AI agent that handles your email, chat, and WhatsApp can now answer your phone!\n\nThis one took many, many months of work and iteration from the whole team. I'm very proud to finally put it in your hands :)\n\n**Why we built it**\n\nWe have spent years teaching AI agents how to actually resolve customer requests: understand the problem, follow the brand's policies, look things up, and take the right action.\n\nWe wanted to bring all of that to the phone. But making seamless at the same time.\n\nVoice is a totally different beast. It has to be fast, accurate, and personable. One awkward pause or misunderstanding, and the customer hears it immediately. But the hardest part was making it as capable as the rest of our agents.\n\nA customer calls at 11pm to skip her next delivery. Yuma picks up, finds her subscription, confirms the change, updates it during the call, and tells her when the next delivery will arrive.\n\nThat's the experience we've been working toward.\n\n**What it does**\n\n* **Takes real actions during the call.** Update an address, cancel an order, process a return, or change a subscription while the customer is still on the line.\n* **Uses everything you've already configured.** Same knowledge, same processes, same guardrails as your existing Yuma agents. Nothing to retrain or duplicate.\n* **Speaks 30+ languages.** It can follow the customer even when they switch languages mid-call.\n* **Works on your phone number and your website.** Connect your existing telephony or add a browser call button.\n* **Hands over when it should.** You decide when to transfer to a human or collect an email for follow-up. Recordings and transcripts give your team the context.\n* **Lets you start small.** Run it after hours, on weekends, or on a portion of calls. Listen to the conversations and expand when you're comfortable.\n\nIt plugs into the helpdesk and ecommerce tools you already use, with voice conversations alongside the rest of your support activity.\n\n**Try it yourself**\n\n☎️ [Call Emily, our live demo](https://yuma.ai/voice-demo).\n\nShe handles support for Daybreak Coffee, our fictional demo store. Pick a sample customer on the page, ask to skip a shipment or change a subscription, and see how she handles it.\n\nYou can call directly from your browser. It’s that easy!\n\nPlease try it and give me blunt feedback. That's why we're launching here :)\n\n**Looking for**\n\nAre you running a retail brand with phone support, or thinking about offering it?\n\nWe would love to help you connect Yuma Voice, set up your first processes, and review the results together. Contact Guillaume, the founder below, or [book a demo](https://yuma.ai/voice-ai-agent).\n\nAnd if you know a brand whose team spends too much time handling repetitive calls, send them our way 👀\n\nContact Guillaume, the founder at g-voice-ai-launch@yuma.ai for priority setup.\n\n**What else does Yuma do?**\n\nYuma brings your entire customer service operation into a single platform. Email, chat, social, WhatsApp, and now voice, with AI agents handling both inbound and outbound conversations across every channel.\n\nWhether customers contact you or your agents reach out first, it all runs through Yuma. A single Handbook defines the rules, and a single tool lets you manage the full customer experience.\n\nYuma is AI for CX infrastructure.\n\n![uploaded image](/media/?type=post&id=116594&key=user_uploads/37163/9dbfb2d6-b738-4f4f-9c3b-ebe6a3213fd1)\n\n", "url": "https://www.ycombinator.com/launches/UKY-yuma-voice-your-ai-support-agent-now-answers-the-phone", "votes": 3, "created_at": "2026-09-23T21:00:25.732Z" }, { "id": 99564, "title": "Ask Yuma: The AI that runs your entire support operation", "tagline": "Commerce brands can now build automations, investigate ticket issues, find optimization opportunities, and generate reports by talking to their AI platform in plain English.", "body": "👋 We are **Yuma (YC W23)**, the AI agent layer for commerce CX. We started building on OpenAI's Davinci model in late 2022 and have processed millions of customer conversations for 100+ commerce brands since.\n\nToday we are launching **Ask Yuma**. Think Claude Code, but for your entire CX operation. A conversational AI built into every page of the Yuma dashboard.\n\n**Demo video:**\n\n\n\nAsk Yuma knows your entire support operation: tickets, automations, knowledge base, metrics, integrations, brand voice. You tell it what you want in plain English. It does the work.\n\n**Why we built it**\n\nSince 2023, Yuma has automated millions of customer interactions for commerce brands. Our best merchants automate 93% of their customer conversations. The automation works.\n\nBut configuring it was still painful. Merchants had SOPs in Google Docs they couldn't turn into live automations without our help. They wanted to investigate why a ticket was handled wrong but had to file a request and wait. They knew there were more tickets to automate but finding them meant hours of manual digging.\n\nThe dependency on our team was the bottleneck. So we built Ask Yuma: one conversational interface that puts all of that in the merchant's hands, with our team still there when they need us.\n\n**What it does**\n\n**Build automations from documents:** Upload any SOP or process doc. Ask Yuma reads it, asks clarifying questions, generates a visual flowchart, and produces a complete automation ready to go live. What used to take days takes 1 conversation.\n\n**Find automation opportunities:** Ask Yuma analyzes your escalated tickets, ranks recommendations by impact, and links to real examples so you can verify before acting.\n\n**Diagnose issues:** Ask \"why was this ticket handled wrong?\" Ask Yuma traces the root cause through your configuration and tells you what to change.\n\n**Generate reports:** Ask for a report of every product defect reported this week. Ask Yuma searches thousands of tickets, pulls the images, and generates a PDF you can share with your exec team or manufacturer.\n\n**Monitor performance:** Track automation rate, CSAT trends, unusual spikes, and compare time periods in plain English. No dashboards to build.\n\nIt doesn't stop there. Ask Yuma finds what's broken, proposes a plan, gets your approval, implements the fix, tests it in a sandbox, and verifies it worked.\n\nIn just 1 week of internal release, Ask Yuma has seen 60% adoption among existing merchants.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/ccaf771b-aa36-4429-930f-2f22e68be888)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/1ddfc2a1-f617-4280-932b-329fa2945bd5)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/150191ac-4804-4fc7-987c-e1fe19abba26)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/0b951c2a-8621-4c37-8ec4-b3ee345c13bc)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a3d159ca-0dc6-4ef4-a161-2e77f40b28f2)\n\n**Looking for**\n\nCommerce brands running support automation that want to move faster without the manual work. We will connect Ask Yuma and help you find automation opportunities on day one. Reach out to Guillaume (founder) at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai).\n\n**What else does Yuma do**\n\nYuma is a full AI agent infrastructure for commerce brands. Beyond Ask Yuma, we offer autonomous support agents, a sales AI widget for product pages, social media comment automation, deterministic workflow builder, and deep ticket analytics. All connected, all powered by the same orchestration layer.\n\n**What should we build next?**\n\nWe are working on automated weekly process recommendations, scheduled reports, and MCP integration so you can use Ask Yuma directly inside Claude and other AI tools. Tell us what workflow you wish you could ask your support data about. We build based on what brands need most.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a4887f0d-d8f8-4894-95ee-7b0156b779a9)\n\n", "url": "https://www.ycombinator.com/launches/Pts-ask-yuma-the-ai-that-runs-your-entire-support-operation", "votes": 19, "created_at": "2026-04-08T14:39:18.485Z" }, { "id": 98153, "title": "Social AI: Put E-commerce Social Media on Autopilot", "tagline": "Safely automate social media moderation across Facebook, Instagram, and TikTok.", "body": "👋 We are Yuma, YC W23. Since 2023, we've automated over 5 million customer interactions for leading e-commerce brands with Support AI and Sales AI. Today we're launching our newest product: **Social AI**\n\nSocial AI puts your brand's social media comments on autopilot. It connects to your Facebook, Instagram, and soon TikTok pages, ingests every comment in real time, classifies each one by intent and sentiment, and acts based on automation rules you define. In early testing, Social AI safely automates up to 60% of repetitive social media moderation.\n\n**Why this matters**: because social comments are one of the last unmanaged channels in e-commerce. They're public, they shape brand perception, and most teams have no system for handling them. And \"safely\" matters here. One careless AI reply on a post can reach thousands of eyes in minutes.\n\n**Why we built it**\n\nWe kept hearing the same thing from customer support and social teams at high-growth brands: social comments are a blind spot.\n\n* \"A negative comment sits on a post for days and nobody can catch it.\"\n* \"Someone asked a product question under our Instagram ad. By the time we saw it, they'd already bought from a competitor.\"\n* \"A frustrated customer tagged us publicly. It snowballed into 40+ replies before anyone on our team even noticed.\"\n* \"A customer leaves a glowing comment and we don't even say thank you.\"\n* \"We have 1 person manually scrolling through hundreds of comments.\"\n\nSupport tickets have tools. Social comments didn't. We've been running Social AI in private beta for the past year. Today, after a major upgrade, we're opening it up to everyone.\n\n**What's different**\n\n* Works across both paid and organic posts. Negative comments on your ads are conversion killers, and Social AI catches them before they cost you.\n* Built-in automation templates for common scenarios (reply, like, hide, flag, or skip), with the ability to create fully custom rules\n* Configurable agent persona: set the tone, verbosity, and brand guidelines so replies sound like your team wrote them\n* Advanced targeting based on the commenter's follower count, so high-profile users get the extra care they deserve\n* Crisis prevention: automatically detect and escalate comments that could spiral into bigger brand issues before they do\n* 24/7 coverage. 50% of comments are posted outside business hours and on weekends. Social AI is always on so your brand is never unprotected.\n* Safety first: every automation rule is scoped by platform, intent, sentiment, and user popularity. You stay in control of what gets automated and what doesn't\n* Real-time dashboard with engagements, automation coverage, sentiment distribution, negative exposure rate, and unanswered rate across all platforms\n\n**The demo video:**\n\n\n\n**Looking for:**\n\nAre you running an e-commerce brand and leaving social comments unmanaged? We'd love to help you set up Social AI, configure your automations, and track the impact with a 30-day free trial. 👀\n\nContact Guillaume, the founder at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai) for priority setup.\n\n**What else does Yuma do?**\n\nWe also offer AI agents for e-commerce support (Support AI) and a product page Q&A widget to boost conversion (Sales AI). On top of that, our platform includes a visual automation builder (Flows) and a ChatGPT-like interface for surfacing customer voice insights from support tickets (Deep Search). :)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/6d6bf373-8851-4839-9000-95026af84bc2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/c822a5ad-30d5-47e9-8ffb-562dc987dd3f)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fbcfd039-9496-497e-871a-2616e80c16e2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/91b861bf-7efc-46ff-9cc7-3467f7df03ca)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fcb91c3e-7cbb-4c2e-b0d8-dc890d46316b)\n\n", "url": "https://www.ycombinator.com/launches/PX7-social-ai-put-e-commerce-social-media-on-autopilot", "votes": 25, "created_at": "2026-02-24T20:59:26.072Z" }, { "id": 95775, "title": "Deep Search: Chat With Your Customer Voice", "tagline": "ChatGPT-style interface that turns your support ticket history into instant insights, trends, and answers.", "body": "👋 We’re **Yuma (YC W23)**, an AI agent platform **dedicated to e-commerce brands**. Similar to Sierra and Decagon but built for **high-volume retail support**.\n\nToday we are launching **Deep Search**, our latest innovation for unlocking **Customer Voice**.\n\nDeep Search is an **LLM-powered conversational search engine** on top of your support ticket history (your entire support **ticket cloud**). Instead of digging through dashboards or exports, you ask questions in plain language and get **clear, sourced answers** straight from recent customer conversations.\n\n### Why we built it\n\nSince 2023, Yuma has helped brands resolve **millions of support tickets**. CX teams kept asking questions that no tool could answer well:\n\n* _“Which products are generating defects or breakage complaints this week?”_\n* _“What is driving checkout abandonment and what are customers saying about it?”_\n* _“Are refund requests spiking for a specific SKU or variant?”_\n* _“What new issues are trending right now that we did not even know about?”_\n\nDashboards only show the metrics you already track. The real **Customer Voice lives in the support tickets**.\n\n### Why it matters\n\nDeep Search gives you insights **in minutes** that used to take **days of manual work** or were simply not economically viable to produce. Until today, no one had the time or budget to manually read and analyze hundreds or thousands of support tickets.\n\nNow you get that work done **instantly**. Product, CX, ops, and growth leaders can finally:\n\n* Spot **product defects** before they create churn\n* Identify **friction points** that slow or block purchases\n* Surface **refund and return patterns** across SKUs\n* Detect **trending issues early** and intervene fast\n* Ship improvements backed by **real customer data**\n* Turn support into a **compounding ROI engine**\n\nDeep Search makes your support tickets an **always-on source of business intelligence**.\n\n### What it does\n\nDeep Search:\n\n* Scans your entire **support ticket cloud** in seconds\n* Identifies themes like product defects, shipping issues, sizing confusion, checkout friction, or subscription churn\n* Surfaces patterns that teams usually miss until it is too late\n* Returns concise analysis with **real ticket snippets** you can click into\n* Supports **follow-up questions** with full conversational context\n* Generates reports on anything you ask for and **emails them on a schedule**\n* Helps CX, product, ops, and growth teams move from **reactive to proactive**\n\nDeep Search turns your support history (your ticket cloud) into a **live Customer Voice layer** you can explore, monitor, and automate.\n\nDemo video: https://www.youtube.com/watch?v=V7t4UDkFbxM\n\n### Looking for\n\nWe are looking for e-commerce brands that want to use support data for **decision-making**, not just firefighting. We will help you plug in Deep Search, define your key questions, and track the impact.\n\nContact Guillaume (the founder) at [**g-sales-ai-launch@yuma.ai**](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### What else does Yuma do\n\nYuma also offers **AI agents for e-commerce support** and **Sales AI** for product-page Q&A. Top brands automate up to **70%** of support with us.\n\n### What should we build next?\n\nWe are adding **dynamic charts**, trend visualizations, and anomaly alerts to Deep Search. If there is something specific you want to analyze or ask from your support tickets, tell us. We are shaping the roadmap based on what brands need most.\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/423d30b5-09ea-4f68-ba9f-b4fa15c0791c)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/d934e3fb-2c75-4b73-8a80-927f38563bad)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/bddadaab-df99-4cf8-982e-ad7a8e782fab)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/66f63c0e-3481-4031-a5df-ac52ad420a0b)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/728d3d61-5280-4837-8f01-a41a96fe5c59)\n\n", "url": "https://www.ycombinator.com/launches/Oul-deep-search-chat-with-your-customer-voice", "votes": 26, "created_at": "2025-11-25T17:27:47.699Z" }, { "id": 95152, "title": "Flows: AI Agent Builder for Precise, Reliable Ecommerce Support", "tagline": "Visual Step-by-Step Builder for Ecommerce Support", "body": "👋 We’re **Yuma (YC W23)**, an AI support platform for e-commerce, and today we’re launching one of our biggest updates yet: **Flows**, a visual automation builder for ecommerce support.\n\n**Flows** expands Yuma’s AI agents’ capabilities with a visual builder for explicit, deterministic steps. You can now combine process-based AI agents with the reliability of a flow for faster, more precise CX automation.\n\n### **Why we built it**\n\nFor more than 2 years, Yuma has helped merchants automate customer support using our natural-language AI Agents builder, resolving over 5 million tickets to date. But as merchants grow, they need more control, advanced workflows, and precision while staying flexible and easy to maintain.\n\nThat’s why we built **Flows**, a visual, step-by-step builder that adds structure, clarity, and reliability to AI automation.\n\n### **What it does**\n\nFlows let merchants visually define how an SOP (Standard Operating Procedure) runs, step by step and action by action. Each step is visible, enforced, and powered by a mix of good old hard code and LLMs.\n\nFlows combine quick ramp-up and adaptability with _strict step-by-step control_ where it matters.\n\nWith Flows, you can:\n\n* Build if/then logic visually with guaranteed execution\n* Combine AI conversations and deterministic rules\n* Review and debug complex automations in minutes\n* Gather clear insights and metrics on automation paths\n* Use hooks and ordered API & CRM calls for full consistency\n\n### **Why it matters**\n\nFlows make automation more reliable and easier to maintain. It brings three major advantages:\n\n**Step-by-step precision:** Every action runs exactly as designed, with enterprise-grade reliability you can trust.\\\n**Visual clarity:** Instantly see, review, and debug every step of your automations, no guessing or black boxes.\\\n**Hybrid flexibility:** Combine LLM adaptability with structured, reliable workflows for the best of both worlds.\n\nThe result is higher accuracy, fewer escalations, and faster resolutions, all in a visual format you can refine in minutes.\n\n### **The demo video**\n\nhttps://www.youtube.com/watch?v=6J1OMGCM2v0\n\n### **Looking for**\n\nWe’re looking for merchants and DTC brand owners who want to test **Flows** and share honest feedback 👀\n\nWe’ll help you build your first Flow, monitor accuracy, and measure results.\n\nContact Guillaume, the founder, at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### **What's Yuma's full suite of products?**\n\nFlows is part of Yuma’s full suite. Top brands automate up to 70% of support with us. With 3 main products — Support AI, Sales AI, and Social AI — we integrate with helpdesks like Gorgias, Zendesk, Kustomer, Gladly, Front, and Salesforce (I know, even Salesforce!!) to automate support, pre-sales, social interactions, and more.\n\n—\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/6ae22e52-741e-4ce1-a0e9-29a0a97e0d0e)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/e54a55a9-7f35-482b-baa9-bdea778b5756)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/c9fda7bd-d74f-467d-ba7d-42b307853b99)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/9a74d334-e177-4566-b67c-34ba665342ff)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/61460ccb-56b7-4392-86de-2781fb526ec3)\n\n", "url": "https://www.ycombinator.com/launches/Oki-flows-ai-agent-builder-for-precise-reliable-ecommerce-support", "votes": 26, "created_at": "2025-11-04T16:15:37.558Z" }, { "id": 94117, "title": "Sales AI: Shopify product Q&A widget that boosts revenue", "tagline": "AI-powered PDP widget that answers shoppers' hesitations instantly", "body": "👋 We are Yuma, YC W23. Today, on top of already automating customer service for more than a hundred merchants, we are launching our latest product: **Sales AI**\n\nSales AI is a product Q&A widget dedicated to Shopify. It sits on each PDP (product page), suggests the top questions a shopper is likely to ask, and answers instantly. If they want more, a lightweight chat opens with a fuller answer. From there, they can add to cart inside the chat or get more recommendations.\n\nWhy this matters: because the future is shopping, not chat! Shoppers want info delivered to them before they ask for it! Most drops happen on PDPs because of missing information.\n\nSales AI reduces that friction and in controlled A/B tests lifts conversion by up to 14%! It also records what people asked, which answers helped, and where they still hesitated, so as a brand, you see the \"why\" behind purchases and bounces.\n\n**What’s different:**\n\n* Tailored FAQs per product and per visitor behavior\n* Uses your existing Shopify data + policies + prior support knowledge\n* A/B test friendly; 2-click to install; doesn’t slow the site\n* Full dashboard & insights with Yuma-driven revenue/purchases, impressions, interaction rate\n\nOne of our early partners, **Parachute Home**, credits the product with improving both customer experience and revenue. “Our shoppers love the interactive FAQ widget. They get answers fast, and on desktop, in one A/B test, we saw our Revenue Per Visitor increase +18% and our Average Order Value +4% - Mehdi Ait Oufkir, CEO of Parachute Home.”\n\n**The demo video:**\n\nhttps://www.youtube.com/watch?v=XcRN5GQ89hk\n\n**Looking for:**\n\nDo you own any D2C stores with a bit of traffic and are you willing to try Sales AI and give us blunt feedback? 👀 We'll help set it up, watch the numbers with you, and iterate!\n\nContact Guillaume, the founder at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) in order to get priority setup.\n\n**What's Yuma's other product?**\n\nWe also offer AI agents dedicated to support and e-commerce! Our top brands automate up to 70% of their CX with us. :)\n\n---\n\n—\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/94fdd8b0-4e7c-49a1-ab95-e106140292fa)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/629d91f1-ea82-4fc2-80b5-bfbb02fb8e9b)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/90ddadbc-e5bf-4e47-9d63-872b6696607f)\n\n", "url": "https://www.ycombinator.com/launches/OU1-sales-ai-shopify-product-q-a-widget-that-boosts-revenue", "votes": 35, "created_at": "2025-09-25T14:30:35.251Z" }, { "id": 84121, "title": "Yuma: AI agents for e-commerce customer service", "tagline": "The leading AI-powered CX automation platform.", "body": "↗️ support quality & consistency. ↗️ customer satisfaction. ↗️ cost-efficiency.\n\n**TL;DR**\n\nMillions of E-commerce merchants share the same pain: costly and inefficient customer support that deteriorates customer loyalty. [Yuma](https://yuma.ai/) is on a mission to automate 100% of your support tickets and change customer support for good. Merchants love Yuma AI for its accuracy and industry-leading automation rate.\n\n## The Yuma Story\n\nI'm G, and I'm delighted to re-introduce Yuma.ai, my 3rd company - after Socialcam (W12) and Triplebyte (S15)!\n\nYuma was launched by accident 🤷‍♂️. After I released a prototype in December ‘22, my inbox was inundated with requests from Shopify merchants, and I decided to retake the startup route.\n\nI did YC once more in W23 with Yuma as an AI co-pilot for customer support agents, but things have changed rapidly since then. We are now a full-grown, fully automated AI Agent orchestration platform.\n\nToday, Yuma has over 100+ paying merchants who choose Yuma.ai for its unmatched accuracy, dedicated customer support, and industry-leading automation capabilities (over 50% of automated - and successful - ticket resolutions).\n\nWe’re building a world where businesses will never worry about customer support again, and we’re turning Yuma.ai into the most advanced Customer Support platform.\n\n![Industry Leading CX Automation rate with AI](/media/?type=post&id=84121&key=user_uploads/37163/03444e47-ceae-435b-83da-8663b1be3da0)\n\n---\n\n—\n\n## Top benefits from real users:\n\n* Achieve up to **50% full automation** of all your support tickets. - [**Learn how Petlibro did it**](https://yuma.ai/case-studies/how-petlibro-achieved-49-automation-and-saves-20-annually-with-yuma-ai)\n* Achieve **4X ROI** on your investment in Yuma AI - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Reduce first-response-time **(FRT) by 87%** - [**Learn how MFI Medical did it**](https://yuma.ai/case-studies/how-mfi-medical-cut-first-response-time-by-over-87-and-automated-45-of-customer-inquiries-with-yuma-ai)\n* Reduce monthly support **cost by 33%** - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Be **available 24/7** and manage demand spikes - [**Learn how Omnie did it**](https://yuma.ai/case-studies/omnie-and-yuma-ai-reshaping-e-commerce-customer-service-together)\n\n—\n\n![Top Merchants having success with Yuma.ai](/media/?type=post&id=84121&key=user_uploads/37163/1f000682-b3e9-4669-8764-bf0060fa8cda)\n\n## Reasons to use Yuma\n\n* Unlimited processed tickets, only charged on a full-automated-resolution basis.\n* Dedicated support regardless of plan, through exclusive Slack channels.\n* Access to the best AI models, even for small plans.\n* Unlimited AI Agents & SOPs\n* Natively Multi-store and Multilingual\n* Omnichannel Support: chat, email, social, etc\n* Top-notch integrations with third-party services\n\n## Our Ask 🙏\n\n**💸 Know any e-commerce businesses, CX managers, or Shopify agencies?**\n\nSend them our way—they will be forever grateful! Plus, we’re offering a referral bonus for every lead that turns into a customer.\n\nJust drop us an email at [hello@yuma.ai](mailto:hello@yuma.ai)\n\n**🛒 Own an e-Commerce store?**\n\nBook a demo and see [Yuma.ai](https://yuma.ai) in action. You will receive a white-glove onboarding experience along with a 30-day free trial. 🙂 \n\n![uploaded image](/media/?type=post&id=84121&key=user_uploads/89898/711c85bf-4427-4554-abe4-8ba5980e6022)\n\n", "url": "https://www.ycombinator.com/launches/Lsn-yuma-ai-agents-for-e-commerce-customer-service", "votes": 12, "created_at": "2024-09-18T17:36:12.306Z" }, { "id": 69885, "title": "Yuma - ChatGPT for customer support", "tagline": "Yuma is using LLMs to automate support for Shopify merchants", "body": "**TL;DR:** _Thousands of large Shopify stores all share the same pain: a costly and inefficient customer support. Yuma leverages LLMs and integrates directly with help desks to automate away their high volume of support requests._\n\n## **The Yuma Story**\n\nHi everyone,\n\nI'm G and I'm very pleased to be launching [Yuma](https://yuma.ai), my third company!\n\n**I did YC twice before** already, with Socialcam (W12) and Triplebyte (S15). It seems like I just can't help myself, and I had to do it all over again.\n\nThis time around, however, it's a little bit special as Yuma was launched by accident 🤷‍♂️. I released a prototype in December 2022, and my inbox was inundated with installation requests from Shopify merchants. That's when I knew I was onto something, and I decided to take the plunge. Having experienced that roller coaster ride before, I know exactly what I am signing up for again and I am thrilled about the long and eventful journey that lies ahead.\n\n## **Why do Shopify merchants need Yuma?**\n\nThere are thousands of Shopify merchants around the world generating $10M+ a year, and they all have one thing in common: **they all hate customer support**. It's a burden for them and a huge source of cost as **they receive hundreds of requests per day**. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor, while staff turnover remains high.\n\nThose merchants have been promised automation for years, but the technology has always fallen short, leaving them disappointed. As customers, we have all had to live through a terrible support automation experience before, so it's no secret that **the available current solutions are pretty bad**.\n\n**This has to change**, and we believe that the technology is finally there to fix this problem once and for all. Of course, our goal is for Yuma to do it :)\n\n## **The main things Yuma can do for merchants today:**\n\n* **One-click install** into **help desks**: **no configuration required**, zero adoption cost, and no change in workflows for the support agents.\n* By **combining LLMs with custom knowledge bases**, Yuma suggests drafts to support agents.\n* By analyzing historical tickets, Yuma can **copy the writing style of any brand**, but also understand and **replicate their current workflows** autonomously.\n* By bringing the power of LLMs to rules and templates, Yuma delivers a new type of dynamic workflow that wasn't possible before.\n\nYuma is already live on Gorgias at the moment, and our Zendesk app will be live in a few weeks.\n\n![uploaded image](/media/?type=post&id=69885&key=user_uploads/37163/858ab524-d3ce-461b-968c-43ba41dea793)\n\n\n## **Our ask 🙏**\n\nDo a good deed today and **save a Shopify merchant in your network by telling them about Yuma**. They will be forever grateful! Not only that, they will receive a white-glove onboarding experience along with a 7-day free trial. :)\n\n— —\n\nThank you for reading!\n\n🔥", "url": "https://www.ycombinator.com/launches/IBB-yuma-chatgpt-for-customer-support", "votes": 74, "created_at": "2023-03-02T21:07:47.495Z" } ] }, { "id": 28663, "name": "kapa.ai", "slug": "kapa-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.png", "website": "https://www.kapa.ai", "all_locations": "Remote", "long_description": "kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.\r\n\r\nWe enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.", "one_liner": "The fastest way to build AI assistants on technical content", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689019081, "tags": [ "Generative AI", "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "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/kapa-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kapa-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/kapa-ai/", "x_url": "https://twitter.com/kapa_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.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": 377661, "full_name": "Emil Soerensen", "title": "Founder", "founder_bio": "Emil is the co-founder and CEO of kapa.ai (S23). Previously worked as an Engagement Manager at McKinsey & Company. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from London School of Economics (both with Finn!). 👋", "is_active": true, "linkedin_url": "https://linkedin.com/in/sorensenemil", "x_url": "https://twitter.com/emilsnotes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e147cef5274414bce9905c3d91fa9935b8bfb9e.jpg" }, { "user_id": 1316966, "full_name": "Finn Bauer", "title": "Founder", "founder_bio": "Finn is the co-founder and CTO of kapa.ai (S23). Previously worked as a software engineer at Bloomberg. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from the London School of Economics (both with Emil!).", "is_active": true, "linkedin_url": "https://de.linkedin.com/in/finn-bauer-533bb0130", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06dfb46eb6d6cd86292373df38f8a020a01716df.jpg" } ], "jobs": [ { "id": 76640, "title": "Software Engineer (Full-stack)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack", "location": "GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "React" ] }, { "id": 76641, "title": "Research Engineer, Applied AI", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/huRVu7n-research-engineer-applied-ai", "location": "GB / DE / FR / NO / DK / SE / FI / PT / ES / BE / NL / IT / CH / AT / CZ / PL / EE / LV / LT / SK / HU / SI / HR / RU / UA / Remote (GB; DE; FR; NO; DK; SE; FI; PT; ES; BE; NL; IT; CH; AT; CZ; PL; EE; LV; LT; SK; HU; SI; HR; RU; UA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $170K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 84623, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/TZzJDh1-marketing-lead", "location": "DK", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $110K", "equity_range": "0.03% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Data Analytics" ] }, { "id": 88827, "title": "Business Development Representative (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/aCsYP7G-business-development-representative-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $110K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90015, "title": "Senior Business Development Representative (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/db5rGnR-senior-business-development-representative-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92252, "title": "Account Executive (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/NxbHVIS-account-executive-us", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92254, "title": "Account Executive (Europe)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/O7WYqau-account-executive-europe", "location": "DK / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 93115, "title": "GTM Associate (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HqFQ5xA-gtm-associate-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93116, "title": "Commercial Associate", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HRn1sN0-commercial-associate", "location": "DK", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "kapa.ai Secures $3.2M to Advance Technical AI Assistants - kapa.ai - Instant AI answers to technical questions", "url": "https://www.kapa.ai/blog/kapa-ai-secures-3-2m-to-advance-technical-ai-assistants", "date": "Oct 03, 2024" } ], "launches": [ { "id": 72954, "title": "kapa.ai: ChatGPT for developer-facing products", "tagline": "We help companies improve developer experience and reduce technical support", "body": "**TL;DR:** We make it easy for developer-facing companies to **build AI support bots** for their community. Teams at **OpenAI, Airbyte** and **NextJS** use [kapa.ai](http://kapa.ai) to help onboard new users and reduce support.\n\nWe’re Finn and Emil, the co-founders of [kapa.ai](http://kapa.ai). 👋\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/b1c2d0fe-221f-4319-8689-e8d1bef81e5f)\n\n### **The challenge:** Software has a discovery problem\n\n* **For users:** Have you ever struggled to find what you were looking for on a docs site? We have. And so have the [30 million](https://www.statista.com/statistics/627312/worldwide-developer-population/) other developers in the world.\n* **For maintainers**: Have you ever been pulled out of your work to respond to a customer question that could have been answered by your docs? We have. And so have engineers at the [\\+15,000](https://www.linkedin.com/) developer-facing companies in the world.\n\nThe idea to build [kapa.ai](http://kapa.ai) initially came from a friend that runs a developer-facing company complain about the amount of **“read the f’ing manual” questions** they get and how much of their **engineers’ time** that costs.\n\n### **How we’re solving it:** “ChatGPT” for your docs\n\nWe’ve built a full retrieval augmented generation stack that enables developer-facing companies to **ingest any technical sources into an LLM** and expose it to their community where they have questions.\n\nThe bread and butter of what we’ve been building is a super scalable and **state-of-the-art crawling infrastructure** to ensure high quality data is kept up to date and compatible with LLMs.\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d137227b-004e-493e-bab0-699542312593)\n\nHere are a few examples of how companies are deploying [kapa.ai](http://kapa.ai):\n\n* [**Langchain:**](https://twitter.com/LangChainAI/status/1623752516705067008) **Discord** **bot** in community of 30k devs\n* [**Anyscale**](https://docs.ray.io/en/latest/): **Docs widget** on website of project with +25k stars\n* [**Netlify:**](https://twitter.com/Netlify/status/1651994857391681537) Custom built docs widget on top of **our API** available to their +1 million users\n\nIn addition to reducing support, we’re also helping companies **identify gaps in their documentation and products** by analyzing the answers of their [kapa.ai](http://kapa.ai) bot.\n\n### **Who’s building:** Emil and Finn 👋\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d4aaa0f0-f347-494e-aae7-d4b5e537b114)\n\nWe met +6 years ago in London and ended up doing **two master’s degrees together**: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.\n\nWhile building [kapa.ai](http://kapa.ai), Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.\n\n### **The ask:** Want to reduce developer support?\n\nWe’d love to help your company deploy a [kapa.ai](http://kapa.ai) bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.\n\nReach us at [founders@kapa.ai](mailto:founders@kapa.ai) or [sign up for access here](https://www.kapa.ai/early-access) and mention “YC Launch” Thank you so much.", "url": "https://www.ycombinator.com/launches/Iyg-kapa-ai-chatgpt-for-developer-facing-products", "votes": 79, "created_at": "2023-07-11T19:05:10.691Z" } ] }, { "id": 28788, "name": "Hyperbound", "slug": "hyperbound", "former_names": [ "CleverCall", "Hyper" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d914e5099612c52b407ca205a19346b7915e770f.png", "website": "https://hyperbound.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hyperbound is the leading enterprise-first Revenue Activation Platform, pioneering a new category focused on turning insights into revenue-driving actions. Hyperbound AI analyzes thousands of sales calls to identify the behaviors that lead to closed-won deals, then transforms those insights into realistic, highly customizable human-like roleplays with AI buyers that drive behavior change at scale.\r\n\r\nTrusted by enterprises like IBM, LinkedIn, Monday.com, Bloomberg, Vanta, Autodesk, and G2, Hyperbound helps revenue teams ramp 50% faster, define what good looks like, and scale top performance across thousands of reps.\r\n\r\nInterested in trying it out today? Start a free demo simulation at https://app.hyperbound.ai/buyers and book time with our team to learn more.", "one_liner": "Revenue Activation Platform", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1690226897, "tags": [ "AI-Enhanced Learning", "B2B", "Sales", "Sales Enablement", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hyperbound", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hyperbound.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hyperbound-ai/about/?viewAsMember=true", "x_url": "https://twitter.com/HyperboundAI", "fb_url": "https://www.facebook.com/profile.php?id=100094883662192", "cb_url": "https://www.crunchbase.com/organization/hyperbound-fc9e", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d914e5099612c52b407ca205a19346b7915e770f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c752c9814deef3fa3b7f9894d141d24138c22363.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1378610, "full_name": "Sriharsha Guduguntla", "title": "Founder", "founder_bio": "Call me Sai! CEO @ Hyperbound (https://hyperbound.ai/). I am self-learned full-stack engineer and designer with experience building products for 12+ years. Formerly a founding engineer @ Bloom (YC W21), engineering @ Salesforce Einstein, researcher @ UC Berkeley RISE Lab, and I'm a UC Berkeley alum 🐻 Go Bears! \n\nLove to talk music or basketball anytime. Fun fact: Lebron's the 🐐\n\n// sriharshaguduguntla.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/sguduguntla", "x_url": "https://x.com/sguduguntla11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a354fd3eb088045fa23039b45e8c549038bcf22.jpg" }, { "user_id": 1403843, "full_name": "Atul Raghunathan", "title": "Founder", "founder_bio": "CTO @ Hyperbound. I am an AI engineer and Language Model researcher with a strong background building enterprise-grade ML personalization systems currently used by billions of users. \n\nAlso a huge Mercedes F1 fan 🏎️ and avid rock climber 🧗. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/atul-raghunathan-0743ba168", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b785a8d3f1d4c51b15ee9a3cb627b3fa4f77863a.jpg" } ], "jobs": [ { "id": 72645, "title": "Senior Full-Stack Engineer, Product", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/RzDBxNi-senior-full-stack-engineer-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.15% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 87357, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/gtsH2JD-enterprise-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$320K - $360K", "equity_range": "0.05% - 0.11%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102721, "title": "Mid Market Account Executive, Existing Business", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/tvJPAYL-mid-market-account-executive-existing-business", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$210K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111686, "title": "Technical Customer Success Manager, Mid Market", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/ulEGA6b-technical-customer-success-manager-mid-market", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "0.03% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116341, "title": "Creative Video Producer / Motion Designer", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/Hk2tpbQ-creative-video-producer-motion-designer", "location": "San Francisco, CA, US", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Hyperbound Raises USD 15 Mn to Expand AI Sales Training Platform | Entrepreneur", "url": "https://www.entrepreneur.com/en-in/news-and-trends/hyperbound-raises-usd-15-mn-to-expand-ai-sales-training/497218", "date": "Sep 17, 2025" }, { "title": "YC-backed Hyperbound raises $15M from Peak XV | YourStory", "url": "https://yourstory.com/2025/09/funding-yc-backed-hyperbound-15m-peak-xv", "date": "Sep 16, 2025" }, { "title": "Hyperbound Raises $15 Million Series A to Make Sales Coaching Scalable with AI Sales Roleplays", "url": "https://finance.yahoo.com/news/hyperbound-raises-15-million-series-191000599.html", "date": "Sep 16, 2025" }, { "title": "AI sales tech startup Hyperbound raises $15 million from Peak XV Partners, others - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/funding/ai-sales-tech-startup-hyberbound-raises-15-million-from-peak-xv-partners-others/articleshow/123923841.cms", "date": "Sep 16, 2025" }, { "title": "Sales Upskilling Provider Hyperbound Raises $15 Million Series A", "url": "https://www.forbes.com/sites/dereknewton/2025/09/15/sales-upskilling-provider-hyerbound-raises-15-million-series-a/", "date": "Sep 15, 2025" } ], "launches": [ { "id": 77356, "title": "🚀 Hyperbound: Sales Call Roleplay with Realistic AI buyers", "tagline": "Build your sales rep a sparring partner in under 20 minutes", "body": "### [Live Demo Link](https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9)\n\n**TL;DR** Hyperbound is a simulated roleplay platform that turns your ICP descriptions into interactive AI agents in less than 20 minutes. Hyperbound ramps your reps faster and keeps them warmed up, increasing conversion rates on cold and discovery calls.\n\nTraditionally, it takes an average sales rep \\~400 cold call conversations to ramp up and consistently deliver the message in difficult situations. This organic process usually takes between 3 to 9 months. However, with Hyperbound, your reps can achieve that same level of proficiency in less than a week!\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/780bdcd3-23a7-4344-9482-de3c29ab1272)\n\n### **Long ramp and low conversion for your sales reps**\n\nEven with a parallel dialer, the best reps can only manage about 20 connections per day, resulting in approximately 3-5 conversations.\n\nIt takes an average cold-calling sales representative around 400 conversations to start meeting their quota, which traditionally could take anywhere between 3 to 9 months.\n\nHowever, reps who engage in daily roleplays during training, and to warmup before their calls have shown to meet their quotas up to 3x faster, and have a higher conversion rate.\n\n### **Your reps are forced to practice on your prospects**\n\nMastering cold and discovery calls is a challenging task that requires regular practice and reinforcement.\n\nBut here's the catch with roleplay. It's just awkward, eats up your managers' time, and puts a cap on how many reps each manager can handle.\n\nMost organizations lack the practice they need, forcing their representatives to practice on the few prospects they manage to connect with each day.\n\n### **Solution: The Hyperbound Platform**\n\nHyperbound is a simulated roleplay platform that can transform your Ideal Customer Profile (ICP) descriptions into interactive AI agents in less than 20 minutes.\n\nOur simulations allow your representatives to ramp up quickly and stay prepared, increasing conversion rates on cold and discovery calls.\n\nWith Hyperbound, your representatives can reach the 400 conversations they need ramp up in under a week.\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/71c68268-3c8e-4486-9311-799a2a94d815)\n\n### **Features**\n\n* Create bots in less than 20 minutes to give your reps access to the wide range of personas you sell to. These bots accurately reflect the personalities, objections, opinions, and pain points your reps encounter.\n* Custom scorecards analyze performance on each segment of the call. Their consistency helps you get a unbiased picture of how each reps performance changes over time.\n* Your Manager Dashboard and Rep Leaderboards let you quickly identify A-players and those who need extra help.\n* Create Assignments to set goals for onboarding reps or for those warming up at the start of the day.\n\n### **Our Team**\n\nOur team is built of Sales Coaches, AI engineers, and engineers from Salesforce’s Einstein. Our product has only been possible for a few months now, and we’re so excited to be on the cutting edge of this simulation tech.\n\n### **Your team could be live on Hyperbound tomorrow**\n\nGet access to start building your own agents\n\n* Try Our Live Demo → \n* Interested how this could work for your org? Let’s chat → [founders@hyperbound.ai](mailto:founders@hyperbound.ai)", "url": "https://www.ycombinator.com/launches/K7g-hyperbound-sales-call-roleplay-with-realistic-ai-buyers", "votes": 19, "created_at": "2024-01-09T21:04:35.250Z" }, { "id": 73368, "title": "🚀 Hyperbound: Hyper-personalize your sales emails at scale", "tagline": "Research, generate, and launch hundreds of personalized email campaigns with one click.", "body": "TL;DR **Say goodbye to generic templates—hyper-personalize your sales emails at scale with Hyperbound. Instantly research your prospects and link your company’s value prop to their specific needs.**\n\nWe research prospects from 40+ web sources, including LinkedIn, Google, TechCrunch, Gartner, Crunchbase, etc., and organize domain-specific data from tools like 6sense, ZoomInfo, Clearbit, and your chosen CRM. Our AI creates individual personas for each prospect and customizes a personalized sales email campaign in your voice to address their pain points and preferred communication style. Strict guardrails ensure reliably high-quality output, ready to send with your sales enablement platforms (Outreach, Salesloft, Apollo, HubSpot, etc) without the need for additional review.\n\n### 🚀 Our Team:\n\nHello World! We’re Atul and Sriharsha, the team behind Hyperbound! We’ve been close friends since high school. We have worked on everything from the ML behind Meta’s Ad Personalization to Salesforce’s Einstein Chatbots. We’re putting all our Salestech and NLP research experience into building the next generation of content personalization!\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/ab287a55-7651-44d2-81a9-93ea9fb14d14)\n\n### 🧨 The Problem: Personalization isn’t scalable\n\n* **Sales emails, especially for B2B sales, must be personalized** to stand out in a crowded inbox. In B2B sales, time spent at the outbound stage can have a massive ROI. More high-quality outbound emails → more chance of contacting the lead that will convert.\n* **Personalized sales emails have at least **[**double**](https://woodpecker.co/blog/cold-email-statistics/#double-your-email-reply-rate-with-advanced-personalization)** the response rate** as basic templated emails, but researching your prospects and drafting exceptional personalized sales emails takes time.\n\n### 💡Our Solution: Reliably High-quality Automatic Personalization\n\nBook a demo at: [hyperbound.ai](http://hyperbound.ai)\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/32f0bfd5-7f8e-45d1-a0a5-907d38252e83)\n\n* Research, generate, and launch hundreds of personalized email campaigns with one click\n* Integrate with your sales enablement tools, industry-specific data enrichment, and CRM of choice (ex: Outreach, ZoomInfo, Salesforce)\n* Maintain your voice — your emails sound like you!\n* Automatically identify personas and adjust messaging experimentally\n\n ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/0406c269-1d99-49ad-ab51-e781c3c7fd04)\n\n * Connect your solution with the specific pain points of each prospect for optimal engagement\n * Subject lines that are tuned to the psychology of each prospect\n * Data-driven modeling adjusts email and subject wording for each persona\n* Improve your custom AI engine with natural language feedback\n\n ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/84797afe-ef58-47cb-93df-dd22716c544f)\n\n* Enjoy tough guardrails — brand-safe messaging without hallucinations\n\n### 👋 Our Ask:\n\n* Reach out today to get access to our latest email personalization algorithm! Let us know if you’re interested in a pilot. Bonus points for feedback!\n* Have an outbound email campaign? Know anyone who does? Ask them to book a demo at [hyperbound.ai](http://hyperbound.ai) or drop us a note at [founders@hyperbound.ai](mailto:founders@hyperbound.ai)", "url": "https://www.ycombinator.com/launches/J5M-hyperbound-hyper-personalize-your-sales-emails-at-scale", "votes": 74, "created_at": "2023-07-24T19:12:59.775Z" } ] }, { "id": 28921, "name": "Surface Labs", "slug": "surface-labs", "former_names": [ "Surface" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1c735d9ba6a64fce2c94cba6690c524ea7f778.png", "website": "https://withsurface.com", "all_locations": "San Francisco, CA, USA", "long_description": "Surface Labs helps B2B companies capture, qualify, and convert inbound leads through intelligent contact forms. We replace tools like HubSpot Forms, Zapier, and Chili Piper with a single platform that embeds on any site with one line of code.\r\n\r\nOur AI agents handle lead capture, enrichment, routing, follow-up, and CRO testing — automating what used to require full marketing ops teams. Customers see a 30% lift in conversions in under 2 weeks, and our partial response capture feature collects 50% more emails from form drop-offs.", "one_liner": "Building the AI-powered marketing ops platform that turns website…", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1693007377, "tags": [ "Sales", "Marketing", "Advertising", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Marketing" ], "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": [ { "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": "Arjun and I met as freshman at UC Berkeley when we were assigned to be lab partners for our introductory electrical engineering class. We quickly became friends/ project partners/ roommates over the next several years. I always knew I would start a company someday, but didn’t know what problem to solve. After getting into YC with Arjun and going through a couple pivots, we finally decided to work on something we had first-hand experience with, and that’s what has led to our current intelligent forms idea." } ], "url": "https://www.ycombinator.com/companies/surface-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/surface-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/surface-labs", "x_url": "https://twitter.com/surfacelabs_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/surface-labs-cb05", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1c735d9ba6a64fce2c94cba6690c524ea7f778.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6252c3bbc3d38b1b30b29ce871fef3000422803.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1179226, "full_name": "Saharsh Agrawal", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Surface Labs. \n\nBuilding AI Marketing Agents for B2B.", "is_active": true, "linkedin_url": "https://linkedin.com/in/saharshagrawal", "x_url": "https://x.com/saharsh_wal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f91894e8aaa56eb4663bd97e2f17acf32c4fa19.jpg" }, { "user_id": 1424271, "full_name": "Arjun Sahai", "title": "Founder/CTO", "founder_bio": "Arjun is a UC Berkeley EECS alum. \n\nHe joined Snowflake's first growth team where he deployed and optimized signup.snowflake.com. \n\nHe boosted conversion rates for sign ups by 70% through form and funnel optimization. \n\nThis inspired the founding of Surface Labs!", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjun-sahai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a24d3fa0cd65d7c35c2bffe05e956c0af8f729.jpg" } ], "jobs": [ { "id": 93375, "title": "AI GTM Engineer Intern", "url": "https://www.ycombinator.com/companies/surface-labs/jobs/k6SbAbd-ai-gtm-engineer-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Devops", "salary_range": "$10K - $20K / monthly", "equity_range": "0.01% - 1.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115146, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/surface-labs/jobs/utlT6TV-chief-of-staff", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $140K", "equity_range": "0.05% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 93874, "title": "Surface Labs — AI Workforce for Marketing Operations", "tagline": "Team of AI agents that boosts lead conversions by 30% by taking over marketing ops (ads, routing, follow-ups, etc)", "body": "For too long, marketers have been stuck fixing ops instead of building campaigns. [**Surface Labs**](https://withsurface.com/) is building the first **AI Workforce for Marketing Ops** — a team of AI Agents that run your inbound workflows, boost conversions, and cut workloads by 80%.\n\nOur AI Agents are already live in production, handling **50k+ leads every month**. \\\n\\\nMeet one of the first: the **Form Agent**.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/4f068f22-c1da-43c6-a00a-132cea0b6259)\n\n### **🙅‍♂️ Problem**\n\nMarketing teams spend millions on ads, tools, and headcount… but still lose **30–50% of inbound leads** to spam, bad routing, and slow follow-ups.\n\nEveryday reality:\n\n* Endless spreadsheets and duct-taped workflows.\n* Hours wasted fixing ops instead of building campaigns.\n* Pressure from leadership while growth stalls and leads slip away.\n\nMarketers weren’t hired to babysit forms and CRMs. They were hired to **create, inspire, and drive growth**.\n\n### **👌 Solution: The AI Workforce for Marketing Ops**\n\nWe’re building an AI Workforce that handles the repetitive, manual parts of marketing ops so that marketers can focus on strategy and creativity. Here are some of the members of the Workforce:\n\n* **Forms Agent** → builds high-converting funnels that capture every lead.\n* **Follow-Up Agent** → responds instantly, with personalized outreach.\n* **CRM Agent** → routes and updates deals in Salesforce/HubSpot.\n* **Experiments Agent**→ runs CRO tests automatically to boost conversions.\n* **Ads Agent** → optimizes ad spend and performance in real time.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/d5785765-ad9a-4de4-a619-72393b38ca91)\n\n### **📊 See Results within 2 weeks**\n\n* **Agent-powered** inbound funnels boost conversions by 30%\n* **80%+ spam eliminated;** replaces expensive ad fraud prevention & lead routing tools (e.g. ChiliPiper, LeanData)\n* **Does the work of 3+ ops hires** at a fraction of the salary cost\n\n### **Want to hire our agents (& get free lunch)?**\n\n**👉 Stop letting leads slip away.** Book a demo/ free strategy call with our founders [**here**](https://calendly.com/surfacelabs/15-min-intro-call-with-surface)**.**\n\nWe’ll audit your inbound funnel/ ops and if we can’t build you a form + workflow funnel that beats your current setup, **lunch is on us.**\n\n### **Want to work with us?**\n\n[**_Surface Labs_**](https://withsurface.com/) _is an applied AI lab building the next generation of marketing technology._ _Our core product grew 70% in the last month, with 500k+ website visitor sessions and 50K+ leads captured every month. Surface AI agents are live in production and usage is 📈📈📈._\n\n_Email [**saharsh@withsurface.com**](mailto:saharsh@withsurface.com) with 3 bullet points on why you want to work with us._", "url": "https://www.ycombinator.com/launches/OQ6-surface-labs-ai-workforce-for-marketing-operations", "votes": 130, "created_at": "2025-09-16T18:12:22.299Z" }, { "id": 81386, "title": "Surface Labs: AI that turns Leads into Customers", "tagline": "Boost conversion rates by up to 40% using AI.", "body": "**TL;DR** We previously built intelligent forms for businesses to **_boost website conversions by up to 40%_**, but found them still struggling to close sales because they _couldn’t **scale manual human tasks**_ against increased lead volume. _We give every site visitor a dedicated AI agent to convert more leads into customers across the entire funnel._\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.**\n\n**Over 40% of ad spend is wasted.** Businesses spend money on ads to drive traffic to websites/ PPC pages, but businesses struggle to convert visitors into leads if the page fails to convey value and collect lead data. This results in **leads leaving to visit competitors' websites** and **wasted ad spend.**\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/f96972a0-9b96-420e-afcb-eb33ed6f4957)\n\nEven if a lead does initially convert on the site, it’s not enough. Businesses still need to\n\n* **filter out unqualified leads/ fake form fills**\n* **decrease speed-to-lead**\n* **repeatedly** **engage the lead**\n\nThis problem is most severe for businesses in **competitive ad spaces** with commoditized offerings (e.g. services, lending, higher education, home services, etc).\n\nAs a result, many businesses end up **buying low-quality leads in bulk** from lead gen services or just **spray-and-pray** cold outbound campaigns.\n\n—\n\n# **Our Solution.**\n\nWe’re building an **_intelligent lead management system_** — a better way to track and engage every lead that clicks on an ad & lands on your website.\n\nWe’ve achieved this by building:\n\n* super customizable, **high-converting** lead forms\n* dedicated AI agents to **qualify and engage every lead** on your website\n* better **ad targeting and personalization** using first-party data collected on your website\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c72a7f9c-8b56-47ab-8c8d-0eb0e222bb54)\n\nThe platform includes a highly customizable, multi-step form builder, agent configuration UI, and data + analytics dashboards that provide granular details for every lead.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c8ca819f-6e77-44b7-ac87-a1629bcacc49)\n\n—\n\n## **The Backstory.**\n\nWe (**Arjun and Saharsh**) are both engineers who met at UC Berkeley 🐻 and have helped growth teams at multiple startups and companies like **Snowflake** ❄️ boost funnel conversion rates.\n\nWe launched our high-converting forms product last September, **booked 300+ customer calls** in just a few days, and have helped hundreds of businesses ranging from **law firms, real-estate** and **high-ticket coaching services** to **B2B SaaS companies** spending millions on ads boost conversion rates on their website.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/d96a94aa-8abd-4359-9bd8-6a4994841385)\n\nAre you ready to optimize your ad spend and engage every lead using AI?\n\nWe’d love to chat! Reach out at [saharsh@withsurface.com](mailto:hello@plyhealth.com), fill out the contact form on our [website](https://withsurface.com/), or book a demo directly [here](https://calendly.com/surfacelabs/25-min-intro-call-w-surface-labs). We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/96129512)!", "url": "https://www.ycombinator.com/launches/LAg-surface-labs-ai-that-turns-leads-into-customers", "votes": 62, "created_at": "2024-06-08T15:17:11.558Z" }, { "id": 74412, "title": "🏓 Surface: Intelligent Forms that Boost Conversions", "tagline": "We're building a better way to buy products, starting with forms.", "body": "👋 Hey everyone - we’re Saharsh and Arjun from [Surface Labs](http://withsurface.com)!\n\n### **🏆 TL;DR**\n\nWe’re building intelligent forms designed to help B2B companies collect richer customer data and convert more site visitors to customers via AI-powered content personalization.\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/feb58565-fcf9-442d-9cd7-9a2b8cfbcd40)\n\n### **🤔 The Problem**\n\n**You’re losing out on the opportunity to collect valuable first-party data from your customers and increase conversions due to suboptimal forms on your landing page.**\n\n* It’s difficult to personalize content on a form using existing solutions, despite this being one of the most effective methods for converting customers\n* Solutions like Typeform don’t fit seamlessly into your product’s design/ styling and can look out of place 🤢\n* HubSpot or custom-built forms can easily lack an optimal UX that drives form conversions 🥱\n\nOptimizing page forms to collect rich user data that your marketing and sales teams can use to drive conversions is important but is an ongoing task that takes resources away from developing your core product.\n\n### **✨ Our Product**\n\nWe’re building intelligent forms designed to help companies collect richer customer data and convert more site visitors to customers through AI-powered content personalization.\\\n\\\nOur forms can be embedded in minutes on your site as a pop-up or even take over the entire page and provide your business with a managed “Contact Sales” page!\\\n\\\nHere are some example of early forms that we’re building:\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/f2cdf1f7-1166-4d67-8ffa-6008adac73c2)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/14aa7de7-73ea-43cb-986c-79b2bec5499c)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/6179b0ec-94eb-43d8-b97a-c93f33167b90)\n\nOur platform has helped our customers:\n\n* add targeted messaging to a form to easily enable personalization at scale\n* reduce the burden of data entry for customers to improve form completions by up to 70%\n* manage their entire inbound sales pipeline with our managed “Contact Sales” page experience\n* enrich customer responses with external data sources and ask personalized follow-up questions that allow sales teams to instantly filter, qualify, and book meetings with leads\n\n### **⚙️ Features**\n\nAt their most basic, our forms are customized to match your site’s theme and branding, but here are some additional things our forms can do:\n\n* Intelligent form routing logic\n* AI-Powered A/B testing of questions\n* Automatic lead enrichment and scoring\n* Slack bots that inform you when an important lead has signed up\n* Integrations with your CRM, CDP, analytics, email, and scheduling tools\n\n### 👏 **Our Team**\n\nArjun and I met as freshmen at UC Berkeley 🐻 where we both studied Electrical Engineering and Computer Science (EECS).\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/3f2b4e0b-a5f2-438c-aa96-5b853b512322)\n\n[Arjun](https://www.linkedin.com/in/arjun-sahai/) spent much of his time at Snowflake on the growth team optimizing their self-serve flow, starting with the form on [signup.snowflake.com](http://signup.snowflake.com).\n\n[Saharsh](https://www.linkedin.com/in/saharshagrawal/) received his M.S. in EECS from Berkeley where he studied privacy-preserving systems and has worked at early-stage startups where he built products from 0-to-1.\n\nThey’ve both worked with marketing/ sales/ growth teams to perform experimentation around content personalization, onboarding flows, and form templates to help optimize improve response rates/conversion rates. After directly experiencing how powerful personalized business forms can be, Saharsh and Arjun decided to start Surface.\n\n### **🙏 Asks**\n\nIf you are currently using a custom form/ Typeform/ Hubspot form, have had to disable your Calendly booking screen due to spam bookings, or are struggling to collect rich user data from inbound leads, check us out!\n\nWe’re onboarding a limited number of companies over the next 2 weeks and are custom-building forms for them prior to our self-serve product launch.\\\nBook time to chat with us [here](https://calendly.com/surfacelabs/15-min-intro-call-with-surface?month=2023-09) or reach out at [founders@withsurface.com](https://founders@withsurface.com)!\n\nVisit our website at [withsurface.com](http://withsurface.com) to check out one of our forms!", "url": "https://www.ycombinator.com/launches/JMC-surface-intelligent-forms-that-boost-conversions", "votes": 68, "created_at": "2023-08-25T23:49:16.378Z" } ] }, { "id": 29205, "name": "ego", "slug": "ego", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c5177c13126141e3271facbae25104898deb0f7.png", "website": "https://egoai.com", "all_locations": "San Francisco, CA, USA", "long_description": "we are making AI feel more human starting with voice. ai applied research lab training a novel end-to-end model & productizing what makes AI more personal, persistent, and human. frontier AI, like Claude and ChatGPT, are weak on memory, personality, relationship, and human-like interaction...that's our domain.", "one_liner": "AI applied research lab building synthetic sapience; human-like AI", "team_size": 9, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1709876265, "tags": [ "Consumer", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ego", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ego.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/egolive/", "x_url": "https://twitter.com/ego_ai_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c5177c13126141e3271facbae25104898deb0f7.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/64/1712342606404-j3r1qnxa2v-ef875e3e20ab8060c60a4411ae873f62/6255a6e873c89f4756257bf3e49dc1f7.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022716Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=a87a899a976c9799a202d4fa1075ecfa2c53db308e02c78f53de3a187a5d9e9d", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/73da23bb26bc01875002450e98c8c5d0ccad4187.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a7e64537d5dd5cfbee78b3d75c9da121321400b4.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1552350, "full_name": "Vishnu Hari", "title": "Founder", "founder_bio": "previously ai applied research @ fb & product @ horizon, meta reality labs | astrophysics @ utoronto | filmmaker/screenwriter (link to my film - https://youtu.be/7r93LEFjpCA) | huge gamer and space nerd\n| i also enjoy reading hardcore philosophy", "is_active": true, "linkedin_url": "https://linkedin.com/in/astrophysicist", "x_url": "https://twitter.com/404vish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9906ba2ca3b056438f62d50f913b5bff228f3e70.jpg" } ], "jobs": [ { "id": 101989, "title": "Member of Technical Staff: Agent Runtime", "url": "https://www.ycombinator.com/companies/ego/jobs/kKt14kB-member-of-technical-staff-agent-runtime", "location": "San Francisco, CA, US / Remote (Tokyo, JP; SG)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101990, "title": "Member of Technical Staff: iOS Engineer", "url": "https://www.ycombinator.com/companies/ego/jobs/0Gwm3fO-member-of-technical-staff-ios-engineer", "location": "San Francisco, CA, US / Remote (Tokyo, JP; SG)", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$100K - $160K", "equity_range": "1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Tech in Asia - Connecting Asia's startup ecosystem", "url": "https://www.techinasia.com/news/y-combinator-backed-ego-ai-bags-6-7m-to-launch-human-like-characters", "date": "Oct 16, 2025" } ], "launches": [ { "id": 79373, "title": "ego - an ai-native 3d simulation engine: 👾 getting us closer to the matrix, one pixel at a time", "tagline": "An AI-native simulation engine and platform where users can create and share 3D animated characters, worlds, games and scripted interactions all using natural language. ", "body": "**tl;dr**\\\n_ego is an AI-native simulation engine and platform for AI characters where users can create and share 3D animated characters, worlds, games, and scripted interactions all using natural language. Imagine being able to prompt characters that exhibit human-like behaviour into Minecraft, The Sims, or Animal Crossing into existence._\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/b97ac917-413b-465d-af9a-9d43c9091de3)\n\nhttps://www.youtube.com/watch?v=bLpG4LrLf60\n\n# Why Now?\n\nThe advent of large language models and diffusion models presents an incredible opportunity to solve three seemingly intractable problems in open-world games and simulations:\n\n1. It is hard for humans to write code and script interactions between assets, characters, and the environment to design fun games and experiences\n2. It was impossible for NPCs to display human-like behavior and have true agency in these 3D worlds\n3. It is hard to create new 3D assets, worlds, and non-playable characters\n\nWe founded ego to build an AI native simulation engine to solve all three problems - and we’ve started by tackling the first two. \n\n[ego](https://ego.live) is an AI-native simulation/game engine and platform where users can create and share 3D animated characters, worlds, and scripted interactions all using natural language. Imagine being able to prompt games like GTA, The Sims, Minecraft, or Animal Crossing into existence.\n\nIn the age of Gen AI, it is finally possible to build a **game engine that is also a game**.\n\n# Simulations on ego\n\nOver the course of YC, we built and launched two experimental games with our simulation engine: [TownWorld](https://docsend.com/view/ig6t2shuz26z7wha) (a 3D simulation of the Stanford Generative Agents [paper](https://hai.stanford.edu/news/computational-agents-exhibit-believable-humanlike-behavior) - [tweet thread](https://x.com/peggy_wang/status/1767656498212356597?s=20)) and [CharacterIdol](https://www.characteridol.ai/) (a game where user-prompted generative agents compete to entertain American Idol-style judges…also powered by LLMs). All of the character personalities, conversations, memories, and routines/movements in these games are fully generated by AI.\n\n[Townworld](https://youtu.be/6mPWFFTYebU):\n\n[CharacterIdol](https://youtu.be/j-R1am-kOTY):\n\nThis is where we found the massive opportunity to meaningfully make progress toward our vision of gaining usage of our simulation engine - _making it really easy for a user to make and share a game featuring agents in bounded or unbounded 3D space._ We are keenly aware of the sheer amount of time users spend talking to [character.ai](http://character.ai) [characters,](http://character.ai/) as well as the sheer amount of time young creators spend learning Lua code to script simple games and experiences in Roblox. What if we enable humans to interact with agents in immersive 3D worlds without the creators themselves needing to write complex Lua scripts or learn 3D modeling? What if summoning an agent was as simple as filling out a DnD character sheet?\n\n# Why is this a big deal?\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/4fffe41d-d395-4029-bc04-15e83365f347)\n\nSince time immemorial, humans have built tools to bring their internal worlds to life. The sandbox, the dollhouse, a tree branch shaped like a rifle - all examples of tools we use to bolster our imaginative capacity to dream new worlds, characters, scenarios, and stories into existence. The closest we’ve come as a species to actualizing our imagination has been through the use of game engines to create simulated open-world experiences and games. AI is about to democratize the strongest tool we’ve had to realize our imaginations, and ego will be the simulation platform and engine that will power this new possibility.\n\n_Animal Crossing_, _The Sims_, _Garry’s Mod_, _Skyrim_, _Minecraft_, _Roblox,_ and _GTA_ - all hit games that empower players to explore, create, and roleplay in immersive 3D worlds. However, video games are hard to build and even harder to keep releasing fresh content for. Outside of the studio system, independent [modders](https://www.nexusmods.com/) have spent countless hours extending these games’ shelf life with new experiences and [characters](https://www.nexusmods.com/skyrimspecialedition/mods/98631), despite heavy technical challenges, and even outright hostility from the original game publishers. \n\n# Team\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/b74846e9-8f20-4c19-9069-4f070a3838b2)\n\n[Vish](https://linkedin.com/in/astrophysicist) led the FB AI Applied Research team and the Meta Horizon Scripting team. He learned how to program by modding video games as a teenager and also wrote screenplays for films ([Acceptance](https://youtu.be/7r93LEFjpCA?si=fIEMyHdLF5E25aqq)).\n\n# Asks\n\n* Sign up for our waitlist at [ego.live](https://ego.live) and join our [discord](https://discord.gg/egoai)\n* Retweet ([this twitter link](https://x.com/peggy_wang/status/1768405809455825342?s=20)), reshare this ([LinkedIn](https://www.linkedin.com/posts/y-combinator_launch-yc-ego-an-ai-native-3d-simulation-activity-7174147284681564160-taZI))\n* Share the launch with friends and gamers who might be interested in trying this out :)\n* Try out [characteridol.ai](https://characteridol.ai) and tell us what you think\n* Follow [@ego_ai\\_](https://twitter.com/ego_ai_) on Twitter\n* Optionally follow [@peggy_wang](https://twitter.com/peggy_wang) and [@simulacronist](https://twitter.com/simulacronist) on twitter\n* Link us to talented 10x game devs (Unreal engine experience): [JD](https://peggy-wang.notion.site/Senior-Unreal-Engine-Game-Developer-at-Ego-VC-funded-indie-games-studio-making-animal-crossing-with-d02c85bedfa843ef9a2bca81cd58a7c2)", "url": "https://www.ycombinator.com/launches/KeD-ego-an-ai-native-3d-simulation-engine-getting-us-closer-to-the-matrix-one-pixel-at-a-time", "votes": 251, "created_at": "2024-03-13T21:12:12.336Z" } ] }, { "id": 29312, "name": "OneGrep", "slug": "onegrep", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7a7195a4d8bec15ad4ae4cd76acb1103fb1d125.png", "website": "https://www.onegrep.dev", "all_locations": "New York City, NY, USA", "long_description": "OneGrep is a DevOps Agent that helps engineers automate manual devops tasks. It works across integrations that teams have to search, correlate, and operate automated tasks like runbook automation during incidents.\r\n\r\nOneGrep specializes across devops tools to help teams release code faster and more reliably so that engineers can spend more time building rather than being trained in bespoke tools like Observability, Ci/Cd, or Infra.\r\n \r\nAchintya and Brian are technical co-founders who have deep domain expertise in building and operating systems at scale at Coinbase, Disney, and Amazon. Achintya led the Search Team at Disney enabling DisneyPlus to scale to 70M users in two weeks. Brian was a founding engineer on the team that built the Incident Management Platform at Amazon that helps 30k DAUs in Amazon resolve critical incidents every day.\r\n \r\nhttps://www.onegrep.dev", "one_liner": "AI Agent for DevOps Workflow Automation", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1706125160, "tags": [ "Generative AI", "B2B", "DevOps", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/onegrep", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/onegrep.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onegrep", "x_url": "https://twitter.com/one_grep", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7a7195a4d8bec15ad4ae4cd76acb1103fb1d125.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": 108240, "full_name": "Achintya Ashok", "title": "Founder/CEO", "founder_bio": "Achintya is a Co-Founder and the CEO of OneGrep which he started with Brian Cripe in late 2023. OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data.\n\nAchintya has worked in engineering highly distributed systems at Coinbase, Disney Streaming, & Goldman Sachs. In a previous life, he was the Tech Lead of the Search Team at Disney Streaming responsible for serving contextual experiences to 70-million customers in real-time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/profile/view?id=AAIAAAgz8egBvjGL53N3zhzkhhR7N5gfUrh7GJE", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6631e066852b42d777a2c3f8d40db47c3facb8ed.jpg" }, { "user_id": 1638809, "full_name": "Brian Cripe", "title": "Founder/CTO", "founder_bio": "Brian Cripe is the co-founder and CTO of OneGrep, which he started with Achintya Ashok in 2023. OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data. Brian brings over a decade of experience in the areas of developer-tools, distributed systems, and real-time analytics from companies such as 'Amazon', 'Tableau', and 'Coinbase'.", "is_active": true, "linkedin_url": "https://linkedin.com/in/briancripe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64592762877342f7831fb7af9c3ac35fbde5b12b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79014, "title": "OneGrep — Reduce Observability costs and resolve incidents faster", "tagline": "OneGrep makes observability efficient and actionable for fast-moving teams.", "body": "**TL;DR** — [OneGrep](https://www.onegrep.dev) is every engineer’s dedicated Observability Copilot. OneGrep helps engineers resolve incidents 10X faster and more efficiently. We do this by fine-tuning LLMs with real-time telemetry as well as knowledge bases that engineers use to operate their production systems.\n\nTeams can deploy OneGrep on their own infrastructure or use our cloud. If you are an engineer, we invite you to try us out! [onegrep.dev/try](http://onegrep.dev/try)\n\n# Problem\n\nEvery engineering team struggles with observability cost bloat and incident management when they are moving fast.\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/27337479-43ff-4af3-b1a9-33d826abd4ce)\n\n### Why Does This Happen?\n\n🔨 — Engineers find it hard to instrument code effectively and they make unintentional, costly mistakes.\n\n![](https://lh7-us.googleusercontent.com/g9TzD8RlqcCxPkwE7FDt9EuRHrZacWUc3fjAOJ1eHWblTPS1dqTzJ5sis9UQnzvZowvDTLBHUb-UU3PFE8rFuDxhvka5E_tolNjX50lmjnb3fs6QujAC9pdvaou9metU2ji-8Y1_kF2s5EVNmKcuGw)\n\n📲 — On-call engineers find mitigating incidents to be very difficult because it is hinged on tribal knowledge and tool know-how.\n\n* Engineers spend **25%** of their time on on-call-related work, which equates to companies spending \\~**$61,000** per engineer for on-call work  — _and that’s not including the DataDog bill._\n\n**TL;DR —** Engineers struggle to find answers using observability and pay a lot for unintentional mistakes.\n\n# ✅ Solution — Have your cake & eat it too\n\nEngineers can use OneGrep to make telemetry **actionable** and **efficient**.\n\nHere’s a **13-second** example of OneGrep cutting noisy logs **by 50%** and saving a team thousands of dollars:\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/6322e5bd-87f6-43aa-a402-3d35bf8bf167)\n\nAnd here is an example of OneGrep helping an engineer automatically resolve an incident — ✔️ gone are the days of reading through retros, parsing logs, or pinging the entire team:\n\n\n\nCut costs & resolve incidents faster with OneGrep.\n\n——\n\n# Who We Are\n\nWe are [Achintya](https://www.linkedin.com/in/achintya-ashok/) & [Brian.](https://www.linkedin.com/in/briancripe/) We have applied telemetry best practices to highly distributed systems at Coinbase, DisneyPlus, AWS, Tableau, & Goldman Sachs. We hated our daily struggle with observability and we know how and why other engineers do too. We share the plight of all engineers who have struggled and continue to struggle with noisy alerts at 2 AM.\n\nSo, in the pursuit of helping engineers sleep more soundly knowing their systems are operational, we are on a mission to build the new way to do Observability.\n\n![](https://lh7-us.googleusercontent.com/DOphP_OzGeKanLDxit_2BMc3PtjCdDwIX-Vmf2UUAMjAx4S-Um0TqYn3n_e2ervRbp-PhBJ3ReDfR6IlJUbuGlH_O7BEtjjZDnVnvsaBe3eJgc0KxoLjvoBNRMvC5SnfwwTAi5ux1GUb7zzEEBN52w)\n\n_— Brian & Achintya inspecting the Y Combinator sign for any errant logs._\n\n## ➡️ Our Asks\n\n▶️ Do you have high DataDog bills? [Book a demo with us](https://cal.com/teamonegrep/demo).\n\n▶️ Do your engineers wish their on-call was better? [Learn how we can help](https://cal.com/teamonegrep/learn-in-30) or send us an email at [contactus@onegrep.dev](https://mailto:contactus@onegrep.dev).", "url": "https://www.ycombinator.com/launches/KYQ-onegrep-reduce-observability-costs-and-resolve-incidents-faster", "votes": 44, "created_at": "2024-03-04T18:09:38.939Z" } ] }, { "id": 29360, "name": "Open", "slug": "open", "former_names": [ "OpenCopilot", "Open", "Opens" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ffd914850938fa6bf113c48744141e940a90a14.png", "website": "https://open.cx", "all_locations": "Amman, Amman Governorate, Jordan", "long_description": "Open is an AI-powered, all-in-one customer support and communication platform — used in production by:\r\n\r\nPrint.com, Mollie.com, Viva.com, More.com, Orderchamp.com, OneCarNow.com, and other major enterprise companies.\r\n\r\nWe specialize in solving and automating complex support cases across email, web, phone, SMS, and WhatsApp.\r\n\r\nWe’re a research-based company currently working on releasing Support-Bench, the world’s most comprehensive AI customer support benchmark.\r\n\r\nOur team consists of +3 programming language builders, a nationwide cybersecurity competition winner at age 16, and a dentist.", "one_liner": "Enterprise AI customer support", "team_size": 21, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1701287911, "tags": [ "Generative AI", "Customer Service", "Customer Support", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Jordan", "Middle East and North Africa", "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/open", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/open.json", "year_founded": 2024, "city": "Amman", "country": "JO", "linkedin_url": "https://www.linkedin.com/company/opencopilot", "x_url": "https://x.com/opencopilot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/openchatai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ffd914850938fa6bf113c48744141e940a90a14.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": 939439, "full_name": "Mohammad Gharbat", "title": "Founder", "founder_bio": "Building Open.cx", "is_active": true, "linkedin_url": "https://linkedin.com/in/gharabat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2cc05619d9bcaae8b543d1735d5cc3b33f7a422.jpg" } ], "jobs": [ { "id": 86135, "title": "Enterprise Account Executive (new business), Europe", "url": "https://www.ycombinator.com/companies/open/jobs/waG5YFh-enterprise-account-executive-new-business-europe", "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL / DE / ES / Remote (Amsterdam, NH, NL; Amsterdam, North Holland, NL; DE; ES)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€80K - €190K EUR", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86136, "title": "Enterprise Account Executive (new business) ", "url": "https://www.ycombinator.com/companies/open/jobs/JGgxRGB-enterprise-account-executive-new-business", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$230K - $300K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Open.cx Closes $1.52M Funding Round to Disrupt Customer Support with Advanced AI Solutions", "url": "https://theaiinsider.tech/2025/01/13/open-cx-closes-1-52m-funding-round-to-disrupt-customer-support-with-advanced-ai-solutions/", "date": "Jan 13, 2025" }, { "title": "Adriaan Mol, Mollie CEO Koen Köppen, and YC back this new AI startup: Know more  - Silicon Canals", "url": "https://siliconcanals.com/adriaan-mol-koen-koppen-back-open-cx/", "date": "Jan 13, 2025" }, { "title": "Adriaan Mol, Mollie-ceo Koen Köppen en Y Combinator investeren samen ruim 1,5 miljoen dollar in Open.cx, een AI-tool voor customer support die is ontwikkeld door ex-Mollie-medewerker Mohammad Gharbat.", "url": "https://mtsprout.nl/nieuws/facebook-moeder-kapt-met-dei-initiatieven-abn-amro-wil-franse-topvrouw", "date": "Jan 12, 2025" }, { "title": "Revolutionizing Customer Support: Open.cx Secures $1.52M in Pre-Seed Funding - CEOWORLD magazine", "url": "https://ceoworld.biz/2025/01/13/revolutionizing-customer-support-open-cx-secures-1-52m-in-pre-seed-funding/", "date": "Jan 12, 2025" }, { "title": "Adriaan Mol stapt in veelbelovende AI-start-up - Emerce", "url": "https://www.emerce.nl/nieuws/adriaan-mol-stapt-veelbelovende-aistartup", "date": "Jan 12, 2025" } ], "launches": [ { "id": 86713, "title": "Open - Enterprise AI Customer Support", "tagline": "All-in-one, truly AI-driven platform for customer support. Scale to millions while maintaining a personal touch with each customer.", "body": "### **tl;dr**\n\n[Open.cx](http://Open.cx) is an AI-powered, all-in-one customer support and communication platform designed for enterprises and high-growth businesses.\n\nIn the last few months, our customers have processed and resolved thousands of complex issues using our AI agents in industries like payment service providers, security, and e-commerce.\n\n\n\nToday, Open is the only AI customer support platform in the **WORLD** that allows you to train AI agents from more than 27 sources in one click, deploy these agents on the Web (widget), email support, phone calling support, SMS, WhatsApp, Slack, and more channels (ALL AI)— while giving you very precise auto-recommendations on how to make your AI agents better. You can train these agents to solve the most complex support problems (L2 and L3 support issues and way beyond simple text answers).\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/ee8f7492-5d67-4459-924a-4a499c13995f)\n\n_(Unified AI inbox for web, email, SMS, WhatsApp, phone calls and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/119684d3-68a3-4284-bbaa-8d3dd2659a8d)\n\n_(Outbound support with AI phone calls, AI SMS Messages, and emails)_\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/f5409c0a-1c83-41fb-af96-f110002a971c)\n\n_(Contacts are auto-enriched with AI)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/8996c731-37f7-4f31-bc47-8c82caa46912)\n\n_(Train your AI agents with pre-made knowledge connections)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/cbf8ebd7-3ab3-402b-a61d-f366a39aca35)\n\n_(Complete control over your AI channels, settings, phone numbers and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/de92626c-f1db-4b0b-a9ed-8e6e39a3084c)\n\n_(Built with security in mind)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/088459d2-b6f7-4dfc-b951-8e3d07664826)\n\n(Easy-to-understand reports)\n\n### Problem\n\nThe current customer support and communication landscape is fundamentally flawed:\n\n1. **Scaling without sacrificing quality**:\n\n Companies struggle to manage increasing ticket volumes across channels while maintaining high customer satisfaction. Adding headcount isn’t sustainable, and current tools lack the intelligence to keep up.\n2. **Fragmented and unintelligent tools**:\n\n Businesses rely on a disconnected array of systems—one for email, another for phones, and another for chat. These tools don’t communicate, and even AI-based solutions are often limited to handling basic inquiries, leaving agents burdened with complex tasks.\n\n Ask yourself: _How many tools did you use in 2024 to talk to your customers and to understand them better?_ We think it should be **one**.\n3. **Inadequate AI for Enterprise Needs**:\n\n Current AI agents are optimized for basic, repetitive tasks like FAQs or simple ticket routing. They fail to handle the complexity of enterprise operations, where business rules, workflows, and logic require tailored, context-aware AI that can adapt to each organization’s unique needs. Enterprises need AI that doesn’t just automate—it understands, acts, and integrates into their processes.\n\nThis inefficiency leads to slow resolutions, frustrated customers, and rising costs.\n\n### Solution: Open.cx\n\n1. **AI at the Front Line**:\\\n [Open.cx](http://Open.cx)’s AI manages all channels—web, phone, email, WhatsApp, chat, SMS, and Slack— fast, accurate, and consistent responses for every interaction.\n2. **Clear Handoff to Humans**:\\\n When human intervention is needed, [Open.cx](http://Open.cx) simplifies the transition, we allow AI and human agents to collaborate effectively in a unified workspace.\n3. **Optimized for Complex Support (L2, L3)**:\\\n We excel at handling advanced (L2 and L3) tickets, from technical troubleshooting to intricate workflows, going far beyond basic automation.\n4. **Trainable**:\\\n We integrate with 28+ training sources (Notion, Confluence, Google Drive, Dropbox, and more), so wherever your customer support knowledge resides, we can sync it with the AI.\n5. **Enterprise-Grade Features**:\\\n With customizable workflows, deep business logic integration, and advanced automation.\n6. **Massive Customer Understanding**:\\\n Our **Voice of Customer (VOC)** feature provides actionable insights from every interaction, helping businesses improve products and prioritize features.\n\n### **Ask**\n\nIf your company gets more than 5,000 support tickets per month, let us know—we can help. We have a high-touch approach, and our product is super fun to work with (not my words, XD).\n\n[mo@open.cx](mailto:mo@open.cx) or [book a call.](https://cal.com/opencopilot/discovery-call-open?date=2025-01-08&month=2025-01)", "url": "https://www.ycombinator.com/launches/MYb-open-enterprise-ai-customer-support", "votes": 36, "created_at": "2025-01-09T15:42:53.139Z" } ] }, { "id": 29377, "name": "Toma", "slug": "toma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png", "website": "http://www.toma.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI Applied Research", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1702419018, "tags": [ "Marketing", "Customer Support", "AI", "Automotive", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/toma", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/toma.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tomavoice/", "x_url": "https://twitter.com/toma_voice", "fb_url": "https://www.facebook.com/tomavoiceai", "cb_url": null, "github_url": "https://github.com/toma-so/toma", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.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": 92912, "full_name": "Monik Pamecha", "title": "Founder", "founder_bio": "Co-founder and CEO at Toma", "is_active": true, "linkedin_url": "https://linkedin.com/in/monikp", "x_url": "https://twitter.com/monikkinom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56ce271920b124dc06b81841d029159e118ab97e.jpg" }, { "user_id": 416691, "full_name": "Anthony Krivonos", "title": "Founder", "founder_bio": "Co-founder @ Toma", "is_active": true, "linkedin_url": "https://linkedin.com/in/anthonykrivonos", "x_url": "https://twitter.com/blandthony", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bf89d456fa5f911d7ec946fe688db1da1d8917f.jpg" } ], "jobs": [], "news": [ { "title": "Car Dealerships Are Replacing Phone Staff With AI Voice Agents", "url": "https://futurism.com/car-dealerships-ai-voice", "date": "Jun 08, 2025" }, { "title": "Holman invests in Toma's dealership call automation platform - Automotive News", "url": "https://www.autonews.com/retail/an-toma-raises-17-million-0605/", "date": "Jun 05, 2025" }, { "title": "Toma’s AI voice agents have taken off at car dealerships -- and attracted funding from a16z | TechCrunch", "url": "https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/", "date": "Jun 05, 2025" } ], "launches": [ { "id": 92511, "title": "Toma, an AI Platform for the $2T Automotive Industry", "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.", "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley––automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)", "url": "https://www.ycombinator.com/launches/O47-toma-an-ai-platform-for-the-2t-automotive-industry", "votes": 7, "created_at": "2026-02-07T06:49:05.753Z" }, { "id": 92512, "title": "Toma: AI Platform for the $2T Automotive Industry", "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.", "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley–– automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)", "url": "https://www.ycombinator.com/launches/O48-toma-ai-platform-for-the-2t-automotive-industry", "votes": 15, "created_at": "2025-07-28T17:47:22.350Z" }, { "id": 77697, "title": "🪄 Toma automates your phone calls with AI ✨", "tagline": "Voice AI Agents to handle phone calls and perform tasks for your business", "body": "### **TLDR;**\n\n[**Toma**](https://toma.so/) offers AI Agents that can autonomously handle phone calls for your business.\n\n🗣️ A natural-sounding voice experience over the phone\\\n🪄 A simple way to design call flows and manage AI agents\\\n🧩 Easy integration into your existing software to pull information and perform tasks on/off call\n\nToma is live and automating calls for companies in industries ranging from healthcare to automotive.\n\n### **Problem**\n\nCustomers call businesses expecting a superior experience over other channels. Instead, they have to put up with:\n\n❌ Long wait times\\\n❌ Repeated transfers to different agents without any context\\\n❌ Robotic call flows (read: Press 1 for English.. Sorry.. I didn’t catch that... Let me repeat the options)\n\nBusinesses find phone call operations **labor-intensive**, **expensive**, **inconsistent in quality**, and **hard to scale**.\n\nThe main challenges for businesses include:\n\n* Training agents\n* Ensuring quality and consistency across calls\n* Access control & compliance\n\n### **Our Solution:** [**Toma**](https://toma.so/)\n\n[**https://www.youtube.com/watch?v=p5SvyAHtyyU**](https://www.youtube.com/watch?v=p5SvyAHtyyU)\n\n* **Realistic call experience**: customizable human-like voices with low latency tested in noisy, real-world environments\n* **Integrations**: integrate with your CRM, knowledge bases, and third-party software to pull and push data\n* **Observability**: monitor calls with recordings, summaries, and granular analytics\n* **Live 24/7**: always on, no breaks\n* **Transfer**: intelligently transfer to humans if needed\n\n![uploaded image](/media/?type=post&id=77697&key=user_uploads/92912/75ed5b30-3ec8-4de2-a6af-9d53e9d84c7e)\n\n### **TEAM**\n\nWe’re Monik & Anthony. We’re best friends who have worked together and known each other for many years.\n\nWe believe that voice will be the best way for consumers to interact with AI in the future. The ubiquity of phones, advancements in AI, and the friction of traditional interactive voice systems have set the industry up for disruption.\n\nWe have extensive experience building large-scale customer messaging software, LLM applications, and conversational AI working at Scale, Uber, Lyft, and Braze, and we believe we can make the experience 10x better.\n\n### **Asks:**\n\n* If your business makes or receives phone calls, please set up a call with us [**here**](https://www.toma.so/contact) if you’d like to explore automation\n* Intros to any businesses that run their own call centers or outsource those operations (you can reach us at [founders@toma.so](mailto:founders@toma.so))", "url": "https://www.ycombinator.com/launches/KDB-toma-automates-your-phone-calls-with-ai", "votes": 22, "created_at": "2024-01-22T16:50:46.263Z" } ] }, { "id": 29425, "name": "Zep AI", "slug": "zep-ai", "former_names": [ "Zep Software", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.png", "website": "https://www.getzep.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Zep unifies business data, documents, and conversations into shared, governed context so agents can complete tasks correctly. Its Context Lake manages millions of Context Graphs as one system, with access controls, retention policies, source traceability, and audit logs. Teams use Zep to build enterprise context graphs, agent memory, and customer and account context. Zep retrieves context in under 200 milliseconds. Graphiti, Zep’s open source framework for temporal knowledge graphs, has more than 30,000 GitHub stars.", "one_liner": "The unified context layer for enterprise data", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1709681560, "tags": [ "Developer Tools", "Infrastructure", "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "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/zep-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/zep-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zep-ai/", "x_url": "https://twitter.com/zep_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zep-ai", "github_url": "https://github.com/getzep", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.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": 808515, "full_name": "Daniel Chalef", "title": "Founder/CEO", "founder_bio": "Founder, Zep AI. Engineer turned startup founder (previously KnowledgeTree) and late-stage operator (SparkPost acquired MessageBird), with detours as a Data Science, Marketing, and Corp Dev guy. \n\nStill an engineer at heart and have a soft spot for Go.", "is_active": true, "linkedin_url": "https://linkedin.com/in/danielchalef", "x_url": "https://twitter.com/danielchalef", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd4658ad4e97387766ac3f0a1ee51f1c59c048d.jpg" } ], "jobs": [ { "id": 102880, "title": "Head of Forward Deployed Engineering", "url": "https://www.ycombinator.com/companies/zep-ai/jobs/mVon3qA-head-of-forward-deployed-engineering", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $270K", "equity_range": "1.20% - 1.75%", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Go", "Kubernetes", "Python", "TypeScript", "Terraform", "AI Agents" ] }, { "id": 105318, "title": "Member of Technical Staff: Research", "url": "https://www.ycombinator.com/companies/zep-ai/jobs/8YxqiAO-member-of-technical-staff-research", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$180K - $250K", "equity_range": "1.00% - 1.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Torch/PyTorch", "Machine Learning", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 83738, "title": "Graphiti by Zep AI : A library for building dynamic Knowledge Graphs", "tagline": "Accurate, Current Data for AI Agents", "body": "Hey! We're Paul, Preston, and Daniel from Zep AI. We've just [open-sourced Graphiti](https://git.new/graphiti), a Python library for building temporal Knowledge Graphs using LLMs.\n\n\n\nGraphiti helps you create and query graphs that evolve over time. Think of a knowledge graph as a network of interconnected facts, such as _“Kendra loves Adidas shoes.”_ Each fact is a “triplet, represented by two entities, or nodes (_”Kendra,” “Adidas shoes”_), and their relationship, or edge (_”loves”_). Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to autonomously build a knowledge graph while handling changing relationships and maintaining historical context.\n\nAt Zep, we build a [memory layer for LLM applications](https://www.getzep.com). Developers use Zep to recall relevant user information from past conversations without including the entire chat history in a prompt. Accurate context is crucial for LLM applications. If an AI agent doesn't remember that you've changed jobs or confuses the chronology of events, its responses can be jarring or irrelevant, or worse, inaccurate.\n\n# Zep’s Suboptimal Fact Pipeline\n\nBefore Graphiti, our approach to storing and retrieving user “memory” was, in effect, a specialized RAG pipeline. An LLM extracted “facts” from a user’s chat history. Semantic search, reranking, and other techniques then surfaced facts relevant to the current conversation back to a developer for inclusion in their prompt.\n\nUnfortunately, this approach became problematic. Reconciling facts from increasingly complex conversations challenged even frontier LLMs such as gpt-4o. We saw incomplete facts, poor recall, and hallucinations. Our RAG search also failed at times to capture the nuanced relationships between facts, leading to irrelevant or contradictory information being retrieved.\n\nWe tried fixing these issues with prompt optimization but saw diminishing returns on effort. We realized that a graph would help model a user’s complex world, potentially addressing these challenges.\n\n# Building Graphiti\n\nWe were intrigued by Microsoft’s GraphRAG, which expanded on RAG text chunking with a graph to better model a document corpus. However, it didn't solve our core problem: GraphRAG is designed for static documents and doesn't natively handle temporality.\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/db4712c7-1171-4115-ad7b-67896c754a65)\n\nSo, we built Graphiti, a [temporal Knowledge Graph](https://github.com/getzep/graphiti) library, which is designed from the ground up to handle constantly changing information, hybrid semantic and graph search, and scale:\n\n* **Temporal Awareness**: Tracks changes in facts and relationships over time. Graph edges include temporal metadata to record relationship lifecycles.\n* **Episodic Processing**: Ingests data as discrete episodes, maintaining data provenance and enabling incremental processing.\n* **Hybrid Search**: Semantic and BM25 full-text search, with the ability to rerank results by distance from a central node.\n* **Scalable**: Designed for large datasets, parallelizing LLM calls for batch processing while preserving event chronology.\n* **Varied Sources**: Ingests both unstructured text and structured data.\n\n# Getting Started\n\nGraphiti is open-source and available on GitHub: \n\nQuick Start: `pip install graphiti-core`\n\nWhile we developed Graphiti for our needs at Zep, we believe it could be useful for any application dealing with evolving, interconnected data, such as:\n\n* Personal AI assistants that need to maintain user context over time\n* Knowledge management systems for rapidly changing domains\n* Social network analysis tools\n* Financial systems tracking changing relationships and transactions\n\nIf you try, we'd love to hear your thoughts, questions, and experiences. Please also consider contributing!\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/3d306962-fad2-44fd-9232-862ddd961d0d)\n\n", "url": "https://www.ycombinator.com/launches/Lmc-graphiti-by-zep-ai-a-library-for-building-dynamic-knowledge-graphs", "votes": 19, "created_at": "2024-09-04T15:35:06.052Z" }, { "id": 81733, "title": "Zep: Fast, accurate structured data extraction for AI assistant apps", "tagline": "10x faster than GPT-4o, with field format and validity guarantees.", "body": "Many business and consumer apps must extract structured data from conversations between an LLM-powered Assistant and a human user. Often, the extracted data is the objective of the conversation. Consider completing a sales order, making a reservation, or requesting leave. All of these tasks require progressively collecting data from the conversation.\n\nLatency and correctness are important. You will often want to identify the correct data values you have collected and those you still need. You’ll then prompt the LLM to request the latter.\n\n\n\nIf you’re making multiple calls to an LLM to extract and validate data on every chat turn, you’re likely adding significant latency to your response. This can be a slow and inaccurate exercise, frustrating your users.\n\nZep’s new Structured Data Extraction feature is a low-latency, high-accuracy tool for extracting the data you need from Chat History stored in Zep's Long-term Memory service.\n\n> **Up to 10x faster than gpt-4o.** For many multi-field extraction tasks, you can **expect latency of under 400ms,** with the addition of fields increasing latency sub-linearly.\n\n## Comparing Zep with LLM JSON Mode\n\nMany model providers offer a JSON inference mode that guarantees the output will be well-formed JSON.\n\nHowever:\n\n* There are no guarantees that the field values will conform to the JSON Schema you define or that they are correct (vs. being hallucinated).\n* All fields are extracted in a single inference call, with additional fields adding linearly or greater to extraction latency.\n\n#### Preprocessing, Guided LLM Output, and Validation\n\nTo ensure that the extracted data is in the format you expect and is valid given the current dialog, Zep uses a combination of:\n\n* dialog preprocessing, which, amongst other things, improves accuracy for machine-transcribed dialogs;\n* using guided output inference techniques on LLMs running on our own infrastructure;\n* and post-inference validation.\n\nYou will not receive back data in an incorrect format when using a Zep field type such as email, zip code, or date time.\n\nWhile there are limits to the extraction accuracy when the conversation is very nuanced or ambiguous, carefully crafting field descriptions can achieve high accuracy in most cases.\n\n#### Up to 10x Faster than OpenAI gpt-4o\n\nWhen comparing like-to-like JSON Schema model extraction against gpt-4o, Zep is up to 10x faster.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/7adc0720-a2ed-43d9-88ed-1bd883f819c7)\n\nZep's extraction latency scales sub-linearly with the number of fields in your model. That is, you may add additional fields with a low marginal increase in latency.\n\n## Support for Partial and Relative Dates\n\nZep understands various date and time formats, including relative times such as _“yesterday”_ or _“last week.”_ It can also parse partial dates and times, such as _“at 3pm”_ or _“on the 15th.”_\n\n## Extracting from Speech Transcripts\n\nZep can understand and extract data from machine-transcribed transcripts. Spelled-out numbers and dates will be parsed as if they were written language. Utterances such as “uh” or “um” are ignored.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/8ab99f7f-0672-42dc-9d35-b06c37a33c7a)\n\n## Using Progressive Data Extraction To Guide LLMs\n\nYour application may need to collect several fields to accomplish a task. Since Zep's SDE is so fast, you can guide the LLM through this process by calling the extractor on every chat turn. This enables you to identify which fields are still needed and then direct the LLM to collect the remaining data.\n\n```\nYou have already collected the following data:\n- Company name: Acme Inc.\n- Lead name: John Doe\n- Lead email: john.doe@acme.com\n\nYou still need to collect the following data:\n- Lead phone number\n- Lead budget\n- Product name\n- Zip code\n\nDo not ask for all fields at once. Rather, work the fields \ninto your conversation with the user and gradually collect the data.\n```\n\n## Next Steps\n\n1. Learn more in the [Zep Structured Data Guide](https://help.getzep.com/structured-data-extraction).\n2. Sign up for Zep's [Long-term Memory Service for AI Assistants](https://www.getzep.com/).\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/0a1d48ed-3bde-4b77-b3e7-08ffe0fa3deb)\n\n", "url": "https://www.ycombinator.com/launches/LGH-zep-fast-accurate-structured-data-extraction-for-ai-assistant-apps", "votes": 17, "created_at": "2024-06-25T16:05:02.992Z" }, { "id": 79302, "title": "Zep - Long-term memory for AI assistants", "tagline": "Build Assistants that know your users.", "body": "[Zep](https://www.getzep.com/) is the easiest way to add long-term memory to your AI Assistant. With Zep, you can recall, understand, and extract data from chat histories, enabling you to build rich, personalized experiences. \n\n**Sign up for the **[**Zep Cloud**](https://www.getzep.com/)** and get a Zep Bot T-Shirt when you go live!**\n\ntl;dr\n\n* Zep ensures your Assistant **remembers relevant facts and nuance** from historical conversations, no matter how distant in the past.\n* **Zep makes dialog useful**: Control program flow, extract structured data, select the right prompts or tools, build customer segments, and more.\n* **Fast**! Minimize the number of LLM calls keeping your users waiting. Zep completes tasks in a 1/10 of the time compared to similar functionality built with OpenAI.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/c1ac513c-7ef4-4406-b98a-3e3b4ff94134)\n\n\n\n**Zep In Action: The Amazing ShoeStoreBot**\n\nManaging sales, returns, and order inquiries is all in a day’s work for this hard-working ShoeStoreBot. It remembers past customers, their budgets, brand preferences, shoe size, and more.\n\n\n\n**Perpetual Memory:  Your Assistant will never forget a user.**\n\nAutomagically populate prompts with relevant facts and summaries extracted from past conversations, no matter how distant.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/6672d796-e8c6-46de-9f65-53dcae5b54ea)\n\n**Dialog Classifier: Instantly and accurately understand chat dialog.**\n\nIdentify user intent, emotion, segmentation, and more. Control program flow with semantic context, using the right prompts, tools, and agents depending on the current dialog.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/5967ab25-86e6-4526-8fc0-aba4c87c6c58)\n\n**Extract Structured Data from Dialog**\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/89656e21-5687-4d6d-a8b8-f4a728e19562)\n\nQuickly extract business data from chat conversations. Understand what your Assistant should ask for next to complete its task.\n\n**Support for Your Favorite Languages and Frameworks**\n\nAre you a Python, TypeScript, LangChain, LangChain.js, Chainlit, or FlowWise person? We got you covered.\n\n**The Zep Team**\n\nZep was founded by [Daniel](https://www.linkedin.com/in/danielchalef/) (hi!), who was recently joined by 2 engineers he worked with previously (Peter & Paul!). Daniel led ML at SparkPost (acquired by MessageBird), and previously founded KnowledgeTree (another popular open source project from the 2000s). Despite taking on marketing and corp dev roles in previous lives, he remains an engineer at heart.\n\nDaniel accidentally started Zep when he got frustrated that no delightful software existed to do what Zep does today. He built an early version and stuck it up on GitHub, and one thing led to another.", "url": "https://www.ycombinator.com/launches/Kd4-zep-long-term-memory-for-ai-assistants", "votes": 70, "created_at": "2024-03-12T13:34:56.206Z" } ] }, { "id": 29435, "name": "Terrakotta", "slug": "terrakotta", "former_names": [ "Brandylion" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8ceeed787c0ebb6661ae290d9ff3759225bddaa.png", "website": "https://www.terrakotta.ai/", "all_locations": "Seattle, WA, USA", "long_description": "Terrakotta is a power-dialer that lets sales reps leave AI-generated voicemails. Our first customers are Commercial Real Estate brokerages that use Terrakotta to clone their brokers voices, dial prospects and when no one answers, leave an A/B tested, personalized voicemail that gets a callback.", "one_liner": "AI platform for phone-first sellers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1704332820, "tags": [ "Real Estate", "Sales", "Telecommunications", "Home Services", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "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/terrakotta", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/terrakotta.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/terrakotta-ai/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8ceeed787c0ebb6661ae290d9ff3759225bddaa.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": 1032568, "full_name": "Vincent Wilson", "title": "Founder/CEO", "founder_bio": "CEO @ Terrakotta. Vincent studied CS at the University of Washington and was an incoming FDSE at Palantir before he dropped out to found Terrakotta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/vincent-wilson-5105141b7", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/952319da3e9c9664e3b4ba12465b39eb495ebd36.jpg" }, { "user_id": 1644932, "full_name": "Kusiima Boswell", "title": "Founder/CPO", "founder_bio": "Kusiima is the co-founder and COO of Terrakotta. Before Terrakotta, he studied business and CS at the University of Pennsylvania (Wharton & Penn Engineering). In his senior year, Kusiima built and trained a ML model that correctly predicted stock price increases/decreases with 65% accuracy. After Penn, Kusiima joined McKinsey & Company where he wrote custom data solutions for $10B+ technology companies, worked directly with execs to create GTM strategies, and led private equity due diligence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kusiimaboswell/", "x_url": "https://x.com/kusiimaboswell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de12147c27b7619c3abc11025397e67a9cd4c53c.jpg" }, { "user_id": 1233521, "full_name": "Gabriel Wilson", "title": "Founder/CTO", "founder_bio": "I'm one of the founders of Terrakotta. Before building Terrakotta, I was obsessed with scaling peer to peer networks. By day, I was a SWE at Lyft where I wrote code that powered millions of rides and by night I built StoreStash a profitable gig economy storage platform. Now I'm all in on AI voice because our sales engagement platform will connect millions of people with the right message at the right time.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-wilson-2b480914b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b6b33d02a1d3e8ecc1e26db8d7865260e3f0e0f.jpg" } ], "jobs": [ { "id": 77038, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/terrakotta/jobs/rYDqZJs-senior-full-stack-engineer", "location": "Seattle, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $160K", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React" ] }, { "id": 78788, "title": "Founding Sales Development Representative", "url": "https://www.ycombinator.com/companies/terrakotta/jobs/Hqp77TT-founding-sales-development-representative", "location": "Seattle, WA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $95K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 85536, "title": "Software Engineer (Product, New Grad)", "url": "https://www.ycombinator.com/companies/terrakotta/jobs/xl27Ohw-software-engineer-product-new-grad", "location": "Seattle, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 94328, "title": "Full Cycle AE", "url": "https://www.ycombinator.com/companies/terrakotta/jobs/bJuTBEu-full-cycle-ae", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 79253, "title": "Terrakotta: Add voice as a channel to grow your business 🗣️", "tagline": "AI web-phone designed for cold outreach", "body": "TL;DR: [Terrakotta](https://www.terrakotta.ai/) is a web-phone that uses personalized AI voicemails to double the number of contacts you can engage over the phone. Voicemails left using Terrakotta are personalized to every contact and generate more callbacks than generic scripts.\n\n![uploaded image](/media/?type=post&id=79253&key=user_uploads/1032568/e407487e-18cb-4c20-b6ba-0c2257e42252)\n\n👋Hey Everyone! We’re Kus, Vincent, and Gabe (from left to right) and we are the founders of Terrakotta. Terrakotta lets users leverage their unique voice (yes, their literal voice) to grow their business. We’re calling it ‘voice nurture’.\n\n**Problem**\n\nVoicemail is a great growth channel to generate interest and callbacks from leads, but historically it hasn’t scaled well. Leaving voicemails during call sessions is: \n\n* Time-consuming\n* Repetitive\n* Tiring\n\n \n\n**Solution: ☎️⚡️Here’s what a call session looks like in Terrakotta⚡️☎️**\n\nWith Terrakotta users can clone their voice, load up a contact list, and set a dynamic AI voicemail script that will be personalized for unanswered calls. From there, users can flip on the auto-dial feature and zoom through their call list, reaching up to 100 contacts/hour.\n\n![](https://lh7-us.googleusercontent.com/BPwVoxEx28ZdtBWjg-vbJvTtJ3SncmfG5Y2vNv-DYP0X7qPheGSAbrc5TMvgnmDEt2N_oyJtj8d5GCCZQyDy5yPi3n_qB6dmfGEwooFBt4v1-97h87uaAX-X0-Ktx6i3VLfrnLYdDic7lzURlNuhyxs)\n\n_(Don’t worry: the contacts are not real people; the phone numbers are our many test lines)_\n\n**About the squad**\n\n* [**Vincent**](https://linkedin.com/in/vincent-wilson-5105141b7) was an incoming Software Engineer at Palantir before dropping out of college to found Terrakotta.\n* [**Kus**](https://www.linkedin.com/in/kusiima-boswell-84a1a5151) was a Senior Analyst at McKinsey where he wrote custom data solutions and advised principal investors / GTM execs on strategy. \n* [**Gabe**](https://linkedin.com/in/gabriel-wilson-2b480914b) was a software engineer for Lyft Business and Human Interest (S15).\n\n \n\nWe (strangely) have lots of friends in commercial real estate, and the number one thing they complain about is making outbound phone calls. We’re using our experience with software development and GTM in different contexts to take on this problem in commercial real estate and prove the ability of voice nurture as a growth channel.\n\n**Our asks**\n\n* **If you’re making lots of cold calls and want to do it more efficiently** - try it out!: \n* **Get in touch with us** **if you’re looking for new channels** like voicemail to grow your business\n* **Give us feedback on what you think of the voice-cloning feature - how accurate do you think it is?**\n\n[Email us](mailto:vincent@terrakotta.ai) if you want to check it out.\n\nOr schedule a demo here \n\nThanks for reading!", "url": "https://www.ycombinator.com/launches/KcH-terrakotta-add-voice-as-a-channel-to-grow-your-business", "votes": 25, "created_at": "2024-03-11T14:19:47.987Z" } ] }, { "id": 29522, "name": "Marr Labs", "slug": "marr-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78a360f7a0cb054dd1d879714a91edbac53734cc.png", "website": "https://www.marrlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Marr Labs is making AI-voice agents that are indistinguishable from humans. Han and Dave previously created speech tech company Vlingo that powered the first Siri app and was acquired for $225M. \r\n\r\n\r\nNow they are taking voice to the next level by making AI-voice agents that can handle virtually any phone-based job, from answering calls to schedule appointments to call center sales and support jobs—all at a fraction of the cost of a human agent.\r\n \r\n\r\nIn the US alone, businesses handle 17 billion calls a year at an average cost of $5 per call–an $85 billion addressable market. ", "one_liner": "AI-voice agents that are indistinguishable from humans.", "team_size": 9, "industry": "B2B", "subindustry": "B2B", "launched_at": 1709760702, "tags": [ "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "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/marr-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/marr-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/marrlabs", "x_url": "https://twitter.com/marrlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78a360f7a0cb054dd1d879714a91edbac53734cc.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": 1753162, "full_name": "Dave Grannan", "title": "Founder/CEO", "founder_bio": "Dave is the co-founder and CEO of Marr Labs. Previously, Dave was the founding CEO of speech recognition company Vlingo that provided speech recognition for the first Siri products and was acquired for $225M by Nuance Communications. Dave was also Chairman of the Board of NLP and speech recognition company Maluuba that was acquired for $160M by Microsoft. Prior to founding Marr, Dave was co-founder and CEO of machine vision company Light, acquired by John Deere.", "is_active": true, "linkedin_url": "https://linkedin.com/in/grannan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf7d0a6cc12a03d8e656e32937f419f0e2636fb2.jpg" }, { "user_id": 1758036, "full_name": "Han Shu", "title": "Founder/CTO", "founder_bio": "Han is the co-founder & CTO of Marr Labs, an AI/ML pioneer and 2X entrepreneur. As co-founder of Vlingo(acquired by Nuance for $225M), he built Speech Recognition & Natural Language Understanding stacks, and supplied ASR to Siri. As co-founder of Wyth(acquired by Airbnb), he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Han holds PhD, MEng, and BS degrees from MIT, and 25 patents.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hanshu", "x_url": "https://twitter.com/hshu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca20bda3c9f8adcd8c2208d83cda74c3ae61787a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84434, "title": "Marr Labs' Vox: AI-Voice Agent for Mortgage Lenders", "tagline": "Human-like interactions from “Hello” to “Goodbye,” with seamless warm transfers to live agents", "body": "### **TL;DR**\n\nMarr Labs launches [Vox Mortgage](https://www.marrlabs.com/), an AI voice agent built for the mortgage industry. It offers instant lead engagement and warm transfers to live agents. Vox increases lead conversion, streamlines pre-qualification, and integrates with your CRM while meeting regulatory standards.\n\n### **The Problem**\n\nAs interest rates change, demand for mortgages fluctuates dramatically. Mortgage lenders need to have a crystal ball to predict the exact timing of these moves and hire well ahead of a spike in demand. If that spike doesn’t come, money is wasted hiring and training unneeded staff. If hiring is not done early enough, then revenue is left on the table when the mortgage lender cannot service the demand. \n\n### **The Solution**\n\nAt Marr Labs we just announced the launch of Vox Mortgage, an AI voice agent designed specifically for the mortgage industry. Vox enables mortgage lenders to contact borrowers in milliseconds, offering human-like interactions and rapid lead engagement. The AI voice agent’s standout feature is its warm transfer capability, ensuring a smooth handoff from AI to live agents, increasing conversion rates and minimizing call abandonment.\n\nVox Mortgage was created to address two crucial challenges in the mortgage industry: speed and seamless customer experience. Not only does Vox engage leads within milliseconds, but our warm transfer technology ensures a smooth transition to live agents, enhancing the borrower’s experience and boosting conversion rates.\n\nBest of all, Vox Mortgage has unlimited scalability, allowing mortgage lenders to easily scale to make or receive as many calls a day as needed–all with no fixed costs. \n\n### **Warm Transfers for Seamless Handoffs**\n\nOne of Vox’s key features is its warm transfer capability, which enables a seamless handoff to live agents once a borrower is pre-qualified. This ensures that no leads are lost during transitions, maintaining a natural flow of conversation and maximizing conversion opportunities. Take a listen to a [live Vox Mortgage call](https://www.youtube.com/watch?v=N9r3f8_jT68). \n\n### **Accelerating Lead Conversion in Mortgage Lending**\n\nVox connects with prospective borrowers in milliseconds, allowing lenders to be the first to reach leads after they submit online forms. This first-mover advantage significantly improves lead conversion rates, helping lenders stay ahead of the competition.\n\n### **Seamless Integration and Compliance**\n\nVox integrates effortlessly with lenders’ existing CRMs, telephony, and loan origination systems. It can also be customized to meet industry compliance requirements, ensuring all communications are secure and meet regulatory standards.\n\n### **About Marr Labs**\n\nMarr Labs is a pioneer in AI-driven voice solutions, offering human-like, scalable interactions for a variety of industries. Marr Labs’ flagship product, Vox, helps businesses streamline processes, improve customer engagement, and boost operational efficiency. For more information, visit marrlabs.com.", "url": "https://www.ycombinator.com/launches/Lxq-marr-labs-vox-ai-voice-agent-for-mortgage-lenders", "votes": 18, "created_at": "2024-10-01T19:11:54.255Z" }, { "id": 79214, "title": "Marr Labs – AI-voice agents that are indistinguishable from humans", "tagline": "Task-specific agents for roles like scheduling, sales, customer service and more", "body": "At [Marr Labs](https://www.marrlabs.com/) we are building task-specific AI-voice agents for roles like scheduling, sales, customer service, and more. \n\nThe first product is the Vox Scheduling Agent targeted at the Home Services Industry where every lost call is a lost revenue opportunity. For contractors, plumbers, electricians, and other service providers, voicemails and phone tag not only frustrate customers but also lead to lost business. Take a listen to a [live Vox call](https://youtu.be/UWaAL1MSOZ8).\n\nThis is our second time building a company together. We first met over a decade ago and partnered to create Vlingo, the speech tech company that powered Siri and created Samsung's Siri competitor, S-Voice before being acquired for $225M. Now, with the development of LLMs, we are creating an entirely new platform that can take original voice agents like Siri from robotic to human, which will be a game changer. \n\n### Who we are\n\n![](https://lh7-us.googleusercontent.com/-AwmvtFLk5FeSIqonC6pVDxXXtLv2coqWQVDaeHpPQ4xtM9q7g914FmOccVi3KKmc4GU5GYgE1eceKXxXvylEkMBFh1dq8nCcrwAdd4qXRh4GsN0lBuQ_sYu85e2LYEEuC5mkpy2EmJvoC-tQDQzAyk)\n\n[Dave](https://www.linkedin.com/in/grannan/) is a 4x startup CEO with a track record pioneering AI/ML solutions from concept to commercialization. In addition to Vlingo, Dave co-founded and served as CEO of Light, a machine vision company rooted in ML, before its acquisition by John Deere. He also led the mobile middleware company, Geoworks. Dave holds an MBA from Haas School of Business at UC Berkeley and is a US Marine Corps veteran.\n\n[Han](https://linkedin.com/in/hanshu) is an AI/ML pioneer and 2X entrepreneur. In addition to Vlingo, Han was a co-founder of Wyth (acquired by Airbnb) where he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Early in his career, he led BBN's winning effort for a large-vocabulary Mandarin Chinese system, part of the Hub-5 speech recognition evaluation sponsored by NIST and DARPA. Han holds Ph.D., M.Eng., and B.S. degrees from MIT, and over 25 patents.\n\n### Our Ask\n\nIf you have a business where missed calls = missed revenue, give us a try. Email us now to schedule a demo at: [**hello@marrlabs.com**](mailto:hello@marrlabs.com). ", "url": "https://www.ycombinator.com/launches/Kbe-marr-labs-ai-voice-agents-that-are-indistinguishable-from-humans", "votes": 42, "created_at": "2024-03-08T18:25:50.274Z" } ] }, { "id": 29679, "name": "Dodo", "slug": "dodo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/931b010912edad6092eb6dc209a64e86f18872c9.png", "website": "https://www.dodo.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Dodo turns client communication into booked appointments, completed workflows, and predictive analytics, powering millions of client interactions annually for hundreds of clinics.\r\n\r\nOur multi-agent system autonomously runs scheduling, refills, intake, and follow-ups across calls and texts — integrating directly with clinic systems to cut communication overhead ~70% and act like a trained CSR 24/7.", "one_liner": "AI agents that handle communications for clinics", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1723044153, "tags": [ "Health Tech", "Dental", "Call Center", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/dodo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dodo.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dodoinc/", "x_url": "https://x.com/get_dodo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/931b010912edad6092eb6dc209a64e86f18872c9.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": 732932, "full_name": "Dominik Moehrle", "title": "Founder", "founder_bio": "Building AI agents for medical practices at Dodo. Previously studied Data Science @ Stanford, started beam.ai, and built & scaled 4 products in the healthcare space. When I'm not building, I'm teaching @ equala.org.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dominik-moehrle/", "x_url": "https://x.com/dominik_moehrle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51e45bb1bc064f69788755245d1997ed46ffebe1.jpg" }, { "user_id": 1340182, "full_name": "Julius Hillebrand", "title": "Founder", "founder_bio": "Building AI agents for medical clinics at Dodo. Stanford Engineer, Oxford PPE. Bootstrapped investment tool to $2m+ AUM, automated workflows for a large fintech, and led one of Oxford's biggest university organizations with 1000+ members. Former child actor. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/juliushillebrand", "x_url": "https://twitter.com/julezhillebrand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0d4705d7fb5cdfd2a0f7746c74caadd342a351d.jpg" }, { "user_id": 1997609, "full_name": "Tim Reinhart", "title": "Founder", "founder_bio": "Building AI agents at Dodo. Studied Computer Science at Stanford and Robotics at ETH Zurich. Built autonomous drone systems at one of the worlds leading robotics labs and worked on mobile computer vision applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/t-reinhart/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85050da3c55a62c75f5b2a312e1611282cb0937b.jpg" } ], "jobs": [ { "id": 78310, "title": "Senior Backend Developer (NodeJS)", "url": "https://www.ycombinator.com/companies/dodo/jobs/MJxQNBV-senior-backend-developer-nodejs", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$80K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "Node.js", "TypeScript", "Next.js" ] } ], "news": [], "launches": [ { "id": 82858, "title": "Dodo - AI Employees for Specialized Healthcare Clinics 🦤", "tagline": "We staff clinics with specialized AI agents.", "body": "Hey YC! We’re Dominik, Tim, and Julius from [Dodo](https://dodo.health).\n\nDominik and Julius grew up together, and we have known each other for 15 years. We were all in grad school together and just moved up from Stanford.\n\n# **TL;DR: Dodo handles front- and back-office tasks for specialty clinic end-to-end**\n\n* Our AI agents answer calls, send medical records, and refill prescriptions—fully autonomously, with no human in the loop\n* We are starting with veterinary clinics, and are expanding to dental and physical therapy\n* Same-day cancellations trigger automatic outbound calls, filling availabilities on short notice\n* This means: No more hold music, phone trees (”press 1 for x”), or voicemail beeps (sorry if you like listening to jingles for minutes on end 🎶)\n\n### **How you can help ❤️**\n\n* Know someone **who owns a specialty clinic, independently or through a larger corporate/PE?** We would be grateful for an introduction!\n* **Reach out **[**founders@dodo.health**](https://mailto:founders@dodo.health)** or book time on our **[**calendar**](https://dodo.cal.com)**.**\n\n### **Problem: Clinics can’t keep up with their admin work**\n\n* **🫥 Understaffed**: Clinics face labor shortages for administrative tasks, with staff feeling burned out due to long hours and inefficient workflows.\n* **🚆 Undertrained**: One in three medical receptionists leaves their job each year\n* **☎️ Phone-based**: Clinics handle up to 80% of their communication over the phone\n* **⏳ Result**: Bottlenecks in the front- and back-office, as clinics miss calls and clients. They also fail to fill in cancellations on short notice, decreasing efficiency. Callers spend 67% of their call time on hold\n\n### **Solution: AI EMPLOYEES for Specialty Clinics**\n\n* Handling all calls through verticalized AI agents trained on specialty knowledge and receptionists’ manuals (we’re talking literal binders 📚)\n* Interactions with internal software to update patient files, manage schedules, and execute necessary administrative tasks\n* Automatic outbound calls to fill missed appointments on short notice\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/8ce8ac71-be6a-4713-abfb-27bfc9af4e49)\n\n### **👨‍👦‍👦 Meet the Team**\n\nIf you’ve been to a specialty clinic recently, chances are you’ve seen us shadowing their front desk 🕵️‍♂️\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/81442943-c2ec-40c1-a117-1f3dc4f84616)\n\n**Julius** [julius@dodo.health](https://mailto:julius@dodo.health)\\\n\n\n**Dominik** [dominik@dodo.health](https://mailto:dominik@dodo.health)\\\n\n\n**Tim** [tim@dodo.health](https://mailto:tim@dodo.health)\\\n", "url": "https://www.ycombinator.com/launches/LYQ-dodo-ai-employees-for-specialized-healthcare-clinics", "votes": 62, "created_at": "2024-08-08T20:56:59.839Z" } ] }, { "id": 29684, "name": "Parahelp", "slug": "parahelp", "former_names": [ "Sam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8bd41bea120a97058cce60e2d04af90f42a4c8.png", "website": "https://parahelp.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Build and run an AI support agent that resolves even your most complex tickets end-to-end.\r\n\r\nIf a tool has an API, you can securely connect it to your agent - just by chatting with Parahelp. For example, you can connect Stripe so your agent can resolve billing questions and refund requests.", "one_liner": "Build an AI support agent that securely uses all your tools", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1720219864, "tags": [ "Customer Success", "Customer Service", "Customer Support", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "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/parahelp", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/parahelp.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parahelp-ai", "x_url": "https://x.com/parahelp_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8bd41bea120a97058cce60e2d04af90f42a4c8.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": 394637, "full_name": "Anker Ryhl", "title": "Founder/CEO", "founder_bio": "Co-founder of Parahelp. I began programming at 13, where I also founded my first company. Throughout high school, I built consumer apps with my also current co-founder, Mads. Now, we’re building Parahelp - The AI support agent for software companies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/anker-bach-ryhl", "x_url": "https://twitter.com/ankerbachryhl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1543ab674f8632f000c28d49810b1e2511131fb.jpg" }, { "user_id": 1759533, "full_name": "Mads Liechti", "title": "Founder", "founder_bio": "Co-founder of Parahelp. Throughout high school, I built 4 consumer apps with my also current co-founder, Anker. Now, we’re building Parahelp - The AI support agent for software companies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mads-lunau-liechti-a51210185", "x_url": "https://twitter.com/MadsLunau", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15d020f44c1c7d3a888128e81494550b8ecbf8f6.jpg" } ], "jobs": [], "news": [ { "title": "Parahelp: The End-to-End AI Support Agent", "url": "https://www.youtube.com/watch?v=GciivYKTK_Q", "date": "Dec 02, 2025" } ], "launches": [ { "id": 83601, "title": "Parahelp - The AI support agent for software companies", "tagline": "Helping leading CX teams at Perplexity and Captions.", "body": "**TL;DR** - [Parahelp](https://parahelp.com/) is an AI support agent for software companies that resolves support tickets end-to-end.\n\n**For example:** When a customer requests a refund, Parahelp can automatically look up subscription details, process the refund in the payment system if eligible, and respond to the customer.\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/af0fff3f-d445-455f-bde8-c770f1389f1f)\n\n**Problem**\n\nMost CX teams have tried a chatbot solution that didn't move the needle in production.\n\nThis is because resolving tickets end-to-end, such as billing inquiries and technical issues, requires using multiple tools to look up customer data (subscription status in RevenueCat, platform details in Retool, etc.) and execute relevant actions (process refunds in Stripe, create bug reports in Linear, etc.).\n\n**Solution**\n\nWe've built Parahelp as an AI agent that works with CX teams' existing tools to reliably resolve support tickets end-to-end in production.\n\nParahelp can be highly customized to the team’s knowledge and processes and implemented in days, not months.\n\nOur state-of-the-art agent infrastructure enables our AI support agent to:\n\n* Be human-level empathetic and engaging\n* Quickly adapt to product and company changes\n* Take actions in tools like Stripe, Retool, and Linear\n* Work directly in Intercom and Zendesk\n\n**Results**\n\nWe're already helping leading CX teams at Captions and Perplexity. Together with Captions, we’ve created a [case study](https://parahelp.com/customers/captions) about how Parahelp was resolving 46% of all their support tickets within 7 days of implementation.\n\n**Ask**\n\nWe'd love to chat if you're a software company looking to implement an AI solution for your support operations!\n\nBook a demo with us here: .\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/0fb2454c-af68-4ddc-8a84-41447cea3628)\n\n", "url": "https://www.ycombinator.com/launches/LkP-parahelp-the-ai-support-agent-for-software-companies", "votes": 24, "created_at": "2024-08-29T20:23:26.320Z" } ] }, { "id": 29717, "name": "Conveo", "slug": "conveo", "former_names": [ "Conveo.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9206cc94a77b42c19e0e7e8efef3e5f8417b167.png", "website": "https://conveo.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Conveo's AI-moderator interviews real people that compound into a queryable understanding layer: research-grade, available to every team.", "one_liner": "Growth through always‑on consumer understanding", "team_size": 90, "industry": "B2B", "subindustry": "B2B", "launched_at": 1718889893, "tags": [ "SaaS", "Feedback", "Market Research", "Enterprise Software", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/conveo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/conveo.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/conveo-ai/", "x_url": "https://x.com/ConveoAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/conveo", "github_url": "https://github.com/conveo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9206cc94a77b42c19e0e7e8efef3e5f8417b167.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/034bc8bda1a3fc078222cb734b9ae5a045bfc727.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1961722, "full_name": "Dieter De Mesmaeker", "title": "Founder/CTO", "founder_bio": "Co-Founder & CEO @Conveo.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dieterdemesmaeker/", "x_url": "https://x.com/ddmskr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9040f4e151851571674fa9b5f870db5d1812c5c.jpg" }, { "user_id": 1526843, "full_name": "Hendrik Van Hove", "title": "Founder/COO", "founder_bio": "Belgian, 26, passionate about tech and (kite-) surfing.\nBuilding Conveo.ai, qualitative research at scale with AI interviews and analysis.\nWorked at McKinsey in tech/AI and private equity projects. Background in finance with internships at Morgan Stanley (IBD), Lazard (IBD), PE.\nMSc Business Engineering and MSc Artificial Intelligence (majority coursework, did not graduate).", "is_active": true, "linkedin_url": "https://linkedin.com/in/hendrik-van-hove", "x_url": "https://twitter.com/vh_hendrik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4b57f27c093a05bf732b4c5db01b891ac89cbc8.jpg" } ], "jobs": [ { "id": 94338, "title": "Client Growth Manager - UK/Europe", "url": "https://www.ycombinator.com/companies/conveo/jobs/vV02XiA-client-growth-manager-uk-europe", "location": "London / Antwerp", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€60K - €85K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94343, "title": "Business Development Representative (BDR) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/yFU9IMC-business-development-representative-bdr-nyc", "location": "New York", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 99761, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/mLITilr-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106649, "title": "GTM Associate - Internship", "url": "https://www.ycombinator.com/companies/conveo/jobs/c60patv-gtm-associate-internship", "location": "Antwerp", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106650, "title": "Research Impact Lead - SF", "url": "https://www.ycombinator.com/companies/conveo/jobs/fLaHN5s-research-impact-lead-sf", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106651, "title": "Events Manager US", "url": "https://www.ycombinator.com/companies/conveo/jobs/WH5FYp3-events-manager-us", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $140K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106653, "title": "Senior Product Engineer (€90-€110k + Benefits +Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/oRvcpht-senior-product-engineer-90-110k-benefits-equity", "location": "Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€90K - €110K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106654, "title": "Strategy & Ops Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqo8wLZ-strategy-ops-associate", "location": "Antwerp / London / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106655, "title": "Senior Product Engineer ($200k-$260k + Equity) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/dAcZSPS-senior-product-engineer-200k-260k-equity-nyc", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106656, "title": "Senior Product Engineer (£80k-125k + Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/dOqH8NT-senior-product-engineer-80k-125k-equity", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £130K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106657, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/fTA3U5R-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£50K - £90K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106658, "title": "Head of Product Marketing", "url": "https://www.ycombinator.com/companies/conveo/jobs/xIQdB1D-head-of-product-marketing", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106659, "title": "Sales Director", "url": "https://www.ycombinator.com/companies/conveo/jobs/C57iULo-sales-director", "location": "London", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£100K - £120K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106660, "title": "Product Engineer (Internal tools & apps)", "url": "https://www.ycombinator.com/companies/conveo/jobs/gAxAdvU-product-engineer-internal-tools-apps", "location": "London / Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£90K - £110K GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106661, "title": "Sales Director ", "url": "https://www.ycombinator.com/companies/conveo/jobs/Mn7Qzig-sales-director", "location": "New York / San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106662, "title": "Design Lead", "url": "https://www.ycombinator.com/companies/conveo/jobs/B6CZoQk-design-lead", "location": "New York / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106663, "title": "Paid Marketing Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqAWwwQ-paid-marketing-associate", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106664, "title": "Head of Video Content ", "url": "https://www.ycombinator.com/companies/conveo/jobs/tKOeU8l-head-of-video-content", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Conveo raises $50M Series A — Conveo", "url": "https://conveo.ai/mediakit/series-a", "date": "Sep 02, 2026" }, { "title": "Conveo raises $5.3M to revolutionize market research with AI-powered video interviews", "url": "https://conveo.ai/blog/2025-03-06-conveo-raises-5-3m-to-revolutionize-market-research", "date": "Mar 06, 2025" } ], "launches": [ { "id": 83007, "title": "Conveo - Qualitative research conducted and analyzed by AI", "tagline": "Better understand your customer with AI-moderated voice and video interviews.", "body": "### **TL;DR**\n\nWe’re [Ben](https://www.linkedin.com/in/bendesmet1/), [Hendrik](https://www.linkedin.com/in/hendrik-van-hove/), and [Dieter](https://www.linkedin.com/in/dieterdemesmaeker/). We founded [Conveo](https://conveo.ai/) to reimagine how businesses gather deep customer insights. Our platform uses AI to conduct and analyze voice and video interviews, delivering faster, deeper, and more scalable insights.\n\n![uploaded image](/media/?type=post&id=83007&key=user_uploads/1986314/b846f684-c323-4041-bb81-36b012e98350)\n\n### **The Problem:**\n\n---\n\nToday, it’s near impossible for companies to gather deep insights at scale. Surveys lack the depth needed to truly understand your customer. Traditional qualitative methods, like interviews and focus groups, are slow, resource-heavy, and just plain cumbersome.\n\n### **The Solution:**\n\n[Conveo](https://conveo.ai/) is a qualitative research platform that uses AI to conduct and analyze voice and video interviews, delivering actionable insights within hours, not weeks.\n\n### **How You Can Help:**\n\n* **Share this post!** Help us spread the word—your network might just have the connections we need. Embrace the power of serendipity!\n* **Introductions:** Know someone in market research, CMI, marketing, product, or user research teams? Or perhaps someone in a market research or consulting agency? We’d love a warm introduction.\n* **Try It Out:** Are you a YC startup in need of user feedback? We’re offering 50 free interviews in exchange for your feedback. Plus, coffee’s on us! ☕️\n\n \\* _quick blurb to copy & paste at the bottom_\n\n### **How It Works:**\n\n\n\n1. **Get Started:** Upload your discussion guide, choose from a template, or let AI create one for you.\n2. **Distribute:** Share the interview link with your customers, or leverage our integrated B2C and B2B panels.\n3. **Engage:** Let AI moderate video and voice interviews in any language, adapting dynamically to each conversation.\n4. **Analyze:** Watch and learn as AI processes and summarizes hundreds of interviews, surfacing key themes, quotes, and insights.\n5. **Share & Socialize:** Share insights across your organization easily from within the platform.\n\n### **Who’s it for:**\n\n[Conveo](https://conveo.ai/) is designed for **in-house teams**—marketers, product managers, user researchers, and market researchers—as well as for **market research and creative agencies**. If you need deeper insights, faster, [Conveo](https://conveo.ai/) is for you.\n\n### **Our Story:**\n\nOnce upon a time, at DataCamp and McKinsey, we faced the same challenges many companies do today—trying to gather and analyze customer insights quickly and effectively. After banging our heads against the wall one too many times, we decided there had to be a better way. And so, [Conveo](https://conveo.ai/) was born. **Because who needs a wall when you have AI?**\n\n### **Our Mission:**\n\nTo enable companies to build the best possible experiences, products, and services based on profound consumer understanding.\n\n\\* [_Conveo_](https://conveo.ai/) is an AI-powered qualitative research platform that helps businesses gather deep customer insights at scale. They use AI to conduct and analyze voice and video interviews. Reach out to them at [_hello@conveo.ai_](mailto:hello@conveo.ai)", "url": "https://www.ycombinator.com/launches/Lap-conveo-qualitative-research-conducted-and-analyzed-by-ai", "votes": 20, "created_at": "2024-08-13T20:09:56.426Z" } ] }, { "id": 29727, "name": "Overstand Labs", "slug": "overstand-labs", "former_names": [ "Overstand Labs", "Overstand Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png", "website": "https://overstandlabs.com", "all_locations": "New York City, NY, USA", "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.", "one_liner": "Navigate any set of data - no matter how large - in minutes.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1724369845, "tags": [ "LegalTech", "Data Science", "Data Engineering", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/overstand-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/overstand-labs.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/overstand-labs/", "x_url": "https://x.com/OverstandLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.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": 1993194, "full_name": "Mihir Patil", "title": "Founder/CTO", "founder_bio": "Co-founder of Overstand Labs. California Native. Ex-Palantir. Faculty @ NYU. Go Bears!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mihirnpatil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f426ba6fe9ee49a3ffe6f50a7fa7bdaf607d2a5e.jpg" }, { "user_id": 282405, "full_name": "Derrick Cheng", "title": "Founder", "founder_bio": "Co-Founder of Overstand Labs | Ex-Meta | AI @ Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chengderrick", "x_url": "http://twitter.com/dowithderrick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb972f35799a490a0e323593b2ea731f4a7db12c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98764, "title": "Overstand: A personal data team for Execs", "tagline": "Business leaders have ideas all the time. Overstand lets them validate and act upon them in just a few minutes.", "body": "**TL;DR**: [Overstand](https://overstandlabs.com/) is a personal data lab for Execs. We allow business leaders validate their intuitions against their company’s data — with their just their voice, you can go from a raw idea to an evidence-backed answer. They can even see a reproducible step-by-step process and underlying data behind it — all in a few in minutes. Have a look at our [launch video](https://www.youtube.com/watch?v=KrOwutgKsEA).\\\n\\\nAfter working with a bunch of larger companies, we learned something important: some of the most valuable questions are not the ones people plan dashboards for. They're the spontaneous ones, the realizations that you have mid-conversation... the \"wait a minute…\" moments.\n\nHere’s an example that many of us have encountered at some point: let's say you're talking to a customer, and they say \"_you know we've really struggled to figure out how to solve X at our company. Is that something you can help us with?_\" They might explain why X is hard, and you'd go back and forth a little.\n\nThen you wonder, at some point — is this just them, or have others said the same thing? Has anyone else on your 200-person GTM team heard of _X_ before? The signal is buried across massive email threads, Gong transcripts, Slack threads, and CRM notes — there’s no way to know quickly.\n\nSo this intuition fades. Perhaps you’re able to help that customer in a one-off way, but you don’t see the broader pattern.\n\nWe built Overstand to solve for this exact gap — the crevices where data collection has traditionally failed to help you. The spurious thought that you might’ve had.\n\nYou articulate your intuition in plain language — \"_show me all instances of a customer indicating they're struggling with X._\" Overstand builds an entire data pipeline on top of your company's comms + hard data and surfaces the underlying examples that answer your questions — in just a few minutes. From there you can drill down: ask follow-ups to hone in on specific instances, chart the results over time or pull everything into a single context to discuss what was found. You can even action each result individually — sending contextually-crafted emails to each customer who mentioned _X_.\n\nAll of this, with just your computer or phone (and you can even do it with your voice — we call it _speech-to-data-pipeline_).\n\nMost enterprise tools are built around questions you already know to ask. Overstand is built around the ones you didn't plan for.\n\nIf you're running GTM, CS, or product at a company with real customer volume and this problem sounds familiar — we'd love to talk.\n\n![uploaded image](/media/?type=post&id=98764&key=user_uploads/1993194/7ad71368-31a7-4dca-aa7c-9139d83f452a)\n\n", "url": "https://www.ycombinator.com/launches/Pgy-overstand-a-personal-data-team-for-execs", "votes": 8, "created_at": "2026-03-19T20:31:17.415Z" }, { "id": 87277, "title": "Overstand – Unlock Founder Mode with Real-Time Customer Insights", "tagline": "Know where your company needs you most", "body": "[Overstand](https://www.overstandlabs.com/) is a single platform and API that helps business leaders unlock \"founder mode\" by providing real-time insights from all customer communications—Slack, email, WhatsApp, call recordings, and more.\\\n\\\n**The problem:** As companies grow, it becomes harder for leaders to stay deeply connected to their customers. Critical trends, opportunities, and issues often go unnoticed, leading to slower decision-making, missed opportunities, and unresolved problems. Scaling without visibility into what’s happening at the “edges” of the business—customer interactions—creates blind spots that hinder growth.\n\n![uploaded image](/media/?type=post&id=87277&key=user_uploads/1993194/f829b629-7042-4789-b7ee-6cc44d8ed063)\n\n**How we solve it:** Overstand aggregates customer communications into one unified platform and delivers actionable insights.\n\n* **Know Where You’re Needed Most:** Focus on areas where your involvement can drive the biggest impact.\n* **Find Opportunities Everywhere:** Discover new prospects or expand existing relationships.\n* **Spot Trends Instantly:** Identify issues and opportunities in real time.\n* **Integrate Seamlessly:** Use Overstand’s API to bring insights directly into workflows, dashboards, or other tools.\n\nWith Overstand, business leaders regain clarity, focus, and the ability to scale while staying deeply in tune with their customers. [See a demo of Overstand here.](https://www.youtube.com/watch?v=-8tqKeXW2Cw)\\\n\\\n**Our ask:** If you or someone you know is struggling to maintain visibility into their company's customer interactions and opportunities, we’d love to help. Reach out to [founders@overstandlabs.com](mailto:founders@overstandlabs.com) or visit [overstandlabs.com](http://overstandlabs.com) to learn more or schedule a demo.", "url": "https://www.ycombinator.com/launches/Mhh-overstand-unlock-founder-mode-with-real-time-customer-insights", "votes": 57, "created_at": "2025-01-29T18:28:19.132Z" }, { "id": 83338, "title": "Overstand - The platform for upselling your enterprise accounts", "tagline": "Meet Overstand, the cross-selling engine for enterprise software companies.", "body": "**TLDR**: [Overstand](https://overstandlabs.com/) helps enterprise software teams maximize revenue by reading all customer communication channels (chat, email, call recordings, support tickets) to uncover opportunities for contract expansion.\n\n**The problem:**\n\nBig tech companies know that one of the best ways to increase revenue is to bring more value to existing customers. But customer account management involves not just sales, but also support, customer success, implementation teams, and so on. Customers might voice problems that are not conveyed in a timely manner (or at all!) to those responsible for expanding the account.\n\nEnterprise software companies are leaving a lot of potential revenue on the table— some offer a whole menu of products, with each enterprise customer only taking advantage of one or a few of the offerings.\n\n**The solution:**\n\nOverstand is designed to read all customer communications and flag opportunities for expansion of customer accounts. It identifies hidden expansion opportunities that are buried in customer communications by analyzing every single message and comparing it to product docs and even existing use cases at other enterprise accounts.\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/9b65d2c3-9f8d-48e5-a07a-a6f6b37196f1)\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/1295ceae-f91f-4bcf-9b1f-4cb244c655cf)\n\n**The team:**\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/108201eb-a1e6-43f0-8397-4436134a5589)\n\nWe met at Palantir several years ago and both recognized the importance of empowering customer-facing teams to fully understand and sell highly technical and complex products. [Mihir](https://www.linkedin.com/in/mihirnpatil/) was a PM and engineering lead at Palantir and often felt that many existing customers could have further benefited from using his products. [Senta](https://www.linkedin.com/in/senta/) managed customer accounts valued in the double-digit millions and often observed challenges associated with upselling into existing accounts.\n\n**Asks:**\n\nIf you’re interested in cross-selling and upselling as a strategy for growing your enterprise account revenue, we’d love to chat! Email us at [founders@overstandlabs.com](mailto:founders@overstandlabs.com).\n\nFollow us [on LinkedIn](https://www.linkedin.com/company/overstand-labs/)!", "url": "https://www.ycombinator.com/launches/LgA-overstand-the-platform-for-upselling-your-enterprise-accounts", "votes": 52, "created_at": "2024-08-23T01:13:45.957Z" } ] }, { "id": 29778, "name": "Praxos", "slug": "praxos", "former_names": [ "Praxos Intelligence, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/133daa5976316fea8822213f5f71c6bc57c7cc88.png", "website": "https://praxos.ai", "all_locations": "", "long_description": "Praxos is team messaging where customer conversations, product decisions and agent conversations stay in context.", "one_liner": "Team messaging with built-in memory", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1723170275, "tags": [ "B2B", "Messaging", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "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/praxos", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/praxos.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/praxos-intelligence/", "x_url": "https://x.com/PraxosInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/133daa5976316fea8822213f5f71c6bc57c7cc88.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/76417e446ef8f6cf5abf534030b5d45c0dc0c60a.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 658480, "full_name": "Lucas Urbisaia", "title": "Founder/CEO", "founder_bio": "Harvard Applied Math. Argentine. Loves History. Locked in an eternal feud with Soheil Sadabadi, the Al Khwarazmi wannabe.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-urbisaia", "x_url": "https://x.com/LMUrbisaia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2b25ccba7cf9a3327bfb905e21dd9258b1d4ad5.jpg" }, { "user_id": 727857, "full_name": "Soheil Sadabadi", "title": "Founder/CTO", "founder_bio": "Computer Scientist and Al-Khwarazmi wannabe. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/soheil-sadabadi-3bb378135", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72bfa61fa827212d983fecba0e8ca937f02e46f0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111504, "title": "Praxos - team messaging with built-in memory", "tagline": "A team messaging platform for humans and agents working together", "body": "Hey YC community! What does a normal workflow at a startup look like?\n\nProbably like this:\n\n_> One founder talks to customers_\n\n_> Another founder builds_\n\n_> A customer asks for something. The first founder explains it to the second. The second founder explains it to Claude_\n\n_> Two weeks any one of the founders asks one of the following questions:_\n\n* _Why are we building it this way?_\n* _What happened here?_\n* _What did we promise ACME we’d do?_\n* _How far along are we on X?_\n\n_> Then you scream on the inside because you have to figure out what happened…_\n\nBefore agents, the person who did one part of the work usually held a mental map. They could share the context with other people. Increasingly, they can’t.\n\nSmall teams can run far more work in parallel than ever before thanks to AI, but someone now has to connect all that context manually. The reasoning behind one product change might now be scattered across a customer call, two emails, a Slack thread, and four Claude conversations.\n\n[Soheil Sadabadi](https://bookface.ycombinator.com/user/727857) and I have been obsessed with solving these problems for a long, long time now.\n\n[Praxos](https://bookface.ycombinator.com/company/29778) is a team messaging app. \n\nIt has channels, groups and threads like you’d expect. However, places where work happens—Github, harnesses, email, calls—get linked and converted into a living record of your company. This means everyone is always up to date with the latest developments.\n\nAgents can join conversations and inherit the same context humans do.\n\nHere are examples we’ve seen in production:\n\n1. You talk to a customer. Later, when an engineer or coding agent works on the feature, your conversation and the customer’s information are already in context.\n2. A new engineer picks up an existing project. They have immediate access to info about who worked on what part of the code base, the deltas across changes, and a granular view of their conversations with coding agents. There’s no need to interrogate the CTO.\n3. Three weeks later, someone asks why the engineer made a certain decision about the feature. Praxos fetches the engineer’s convos, the original feature request and call logs between the founder and the engineer. Then it contextualizes the work.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=111504&key=user_uploads%2F658480%2F7022badd-c8fc-437c-8e20-0f27d8e6b3d5&variant=large)\n\nWe’re early, but the core product already works and is in use. You get messaging, search, memory and connectors. You can bring your own agents, use ours, or both.\n\nA desktop app is going live next week. We’re building native calls and mobile apps, so that all the communications that go into a company’s history can happen on Praxos.\n\n**Our ask:** if you’re a 2 to 10 person team where one person is spending all day with customers while the rest of the team is shipping with Claude/Codex, we’d love to personally onboard you.\n\nEspecially if you’ve already caught yourself asking “what did the customer want?” or “what’s going on with X?” last week.\n\nThe first 10 teams get\n\n[Praxos](https://bookface.ycombinator.com/company/29778) for free for 6 months ;)\n\nEmail me at [lucas@praxos.ai](mailto:lucas@praxos.ai).", "url": "https://www.ycombinator.com/launches/T0S-praxos-team-messaging-with-built-in-memory", "votes": 7, "created_at": "2026-08-21T17:05:12.305Z" } ] }, { "id": 30181, "name": "Leaping AI", "slug": "leaping-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cf89546e97aa00342fd94e13a639b43add977d5.png", "website": "https://www.leapingai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Leaping AI is the best platform to deploy voice and texting AI agents for customer service, lead qualification and appointment scheduling. We target mid-market and Enterprise companies and industries are: home remodeling, roofing, pay per call, travel, retail, health insurance, Medicare, health and real estate.\r\n\r\nWe automated contact centers employing >100 human agents and now handle their incoming customer support and appointment scheduling calls, end-to-end. All while maintaining 90% customer satisfaction score.\r\n\r\nPain points that we solve: missed calls, insufficient speed to lead, not enough call center resources, call center inefficiencies, agents not sticking to the script, etc.\r\n\r\nAt its core, we have a multi-channel outreach campaign feature, whereby our customers can call and text potential leads over an arbitrary time period. If end customers call or text back, the Leaping voice or text AI agent can autonomously schedule appointments and resolve service requests.\r\n\r\nSome of our differentiating features: most-human like voice in the market, CRM integrations in place (Salesforce, Hubspot, MarketSharp, AccuLynx, JobNimbus, LeadPerfection, Google, etc.) and white-glove onboarding (in-person for larger accounts). Our AI agents can hold 100+ conversations at once, speak multiple languages and be equipped with company specific FAQ. Lastly, we have our own number health monitoring and DNC software.", "one_liner": "AI voice and texting agents", "team_size": 13, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736780951, "tags": [ "B2B", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "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": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Home remodeling and roofing companies that we speak to almost always have one of the following pain points: missed calls, not fast speed to lead, insufficient lead follow ups, dropped leads, not enough staff, etc.\r\n\r\nLeaping AI addresses these pain points with an AI voice and texting platform that allows call centers to run multi-threaded calling and texting campaigns over the span of several weeks. We automate both inbound and outbound calling." } ], "url": "https://www.ycombinator.com/companies/leaping-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/leaping-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98079414/", "x_url": "https://x.com/leaping_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cf89546e97aa00342fd94e13a639b43add977d5.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": 1218980, "full_name": "Kevin Wu", "title": "Founder/CEO", "founder_bio": "Founder at Leaping AI, which offers AI voice and texting agents for home remodeling, roofing, etc. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-wu-452a6393/", "x_url": "https://x.com/kevinwu_hi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7790a047ef37b79518e11f4f21e223a58fc6486a.jpg" }, { "user_id": 2682699, "full_name": "Arkadiy Telegin", "title": "Founder", "founder_bio": "Co-founder at Leaping AI (W25). We are building the only platform for self-improving voice AI agents. Previously worked in autonomous robotics (self-driving cars, space-tech, and consumer applications). Led Germany's largest space-tech student organization's software division.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a-telegin", "x_url": "https://x.com/akyshnik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc5574b982dc8df9493d60ed4239c8e1cd034ac.jpg" } ], "jobs": [ { "id": 113171, "title": "Tech Lead ($220K+ base salary)", "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/XoTOFrZ-tech-lead-220k-base-salary", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$220K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113435, "title": "AI Deployment Strategist (looking for ex-consultants)", "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/ijEEN3V-ai-deployment-strategist-looking-for-ex-consultants", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Leaping AI: The Voice AI Agent Platform That’s Jumping the Call Center Industry Forward", "url": "https://www.usatoday.com/story/special/contributor-content/2025/10/06/leaping-ai-the-voice-ai-agent-platform-thats-jumping-the-call-center-industry-forward/86547224007/", "date": "Oct 30, 2025" }, { "title": "BCG Consultant Left to Found AI Startup: Here's What He Learned - Business Insider", "url": "https://www.businessinsider.com/bcg-consultant-burnt-out-left-founded-ai-startup-2025-8", "date": "Aug 28, 2025" }, { "title": "Leaping AI Raised $4.7 Million in Silicon Valley, Struggled in Germany - Business Insider", "url": "https://www.businessinsider.com/leaping-ai-raised-millions-silicon-valley-struggled-in-germany-2025-8", "date": "Aug 20, 2025" } ], "launches": [ { "id": 86840, "title": "Leaping AI – Automate your complex call center with voice AI!", "tagline": "Self-improving AI voice agents to replace your whole call center. At scale.", "body": "**TLDR**; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.\n\n\n\n# **The Problem**\n\nRunning a call center with humans is expensive.\n\nCurrent voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.\n\n# **The Solution**\n\nOur platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/f6b54cbc-0421-4256-9040-0a8b4cfdada1)\n\n# **Our voice AI agents self-improve**\n\nPreviously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!\n\n# **Case studies**\n\nWe have been live with our product for a couple of months and currently power thousands of calls daily. \n\nSome success stories:\n\n1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.\n2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.\n3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/bf93647d-42fa-45da-be1c-ce19c42595d9)\n\nWe are [Kevin](https://www.linkedin.com/in/kevin-wu-452a6393/), [Arkadiy](https://www.linkedin.com/in/a-telegin/), and [Shraey](https://www.linkedin.com/in/shraeybhatia/) – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.\n\n# **Our ask**\n\nIf your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.\n\nLikewise, if you are connected to someone that might be interested in our solution, we would love to get connected.\n\nEmail: [founders@leapingai.com](mailto:founders@leapingai.com)", "url": "https://www.ycombinator.com/launches/Mae-leaping-ai-automate-your-complex-call-center-with-voice-ai", "votes": 95, "created_at": "2025-01-14T22:15:48.657Z" } ] }, { "id": 30218, "name": "Toothy AI", "slug": "toothy-ai", "former_names": [ "Toothy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.png", "website": "https://www.toothy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re Toothy.ai. We’re building AI agents for dental practices that handle everything related to patient insurance. The average dental clinic spends over 160 hours a month on insurance tasks like verifying patient policies, billing, and claims processing. Our AI agents automate this entire workflow—including making insurance calls with voice AI—saving clinics time, reducing costs, and ensuring faster reimbursements.", "one_liner": "AI for insurance verification & billing at dental clinics", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1736273040, "tags": [ "Health Tech", "Healthcare", "Dental", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/toothy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/toothy-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/toothy-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.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": 2386492, "full_name": "Johnny Chen", "title": "Founder/CEO", "founder_bio": "2nd time founder now automating back office functions for dental clinics. Built one of the first AI B2B cold email solutions (backed by SoftBank) to $1m in ARR using GPT-J. Background in full stack engineering, operations management, and B2B marketing. Previously worked at Ford Motor’s R&D lab as a software engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnnychen54/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3bb9c5027373836a24ef758940becc0783473a2.jpg" }, { "user_id": 2380535, "full_name": "Matt Kerrigan", "title": "Founder/CTO", "founder_bio": "2nd time technical founder at Toothy AI, where I'm working on automating back office operations for dental clinics. First journey ended in Salezilla, a LLM-based cold email campaign tool that launched before ChatGPT, it is still operating today. Before that I was in a ML role at a startup that was acquired by Nordstrom.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mkerrig/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef18191243b4a9bfe0ed4a8fecb3109583b387d.jpg" }, { "user_id": 2380507, "full_name": "Tejas Konduru", "title": "Founder/CRO", "founder_bio": "Helping build the largest healthcare AI company!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tejas-konduru", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [ { "id": 74334, "title": "Founding Lead Engineer", "url": "https://www.ycombinator.com/companies/toothy-ai/jobs/W8Hxj4B-founding-lead-engineer", "location": "San Francisco, CA, US / Chicago, IL, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$100K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Natural Language Processing" ] } ], "news": [], "launches": [ { "id": 87923, "title": "🦷 Toothy.ai: Automating insurance verification & claims for dental clinics", "tagline": "Our AI agents automate insurance verifications, claims filing, payment posting (including checks), denials, and follow-ups.", "body": "### **Tl;dr**\n\n* [Toothy.ai](http://Toothy.ai) is building HIPAA-compliant AI agents that automate all the back office functions in a dental practice. Our first two agents automate the entire revenue cycle, so dental practices can sit back and watch the insurance payments roll in [😎](https://emojipedia.org/smiling-face-with-sunglasses)\n* Our AI handles everything from insurance verification, claim creation, claim submission, denial correction, claim resubmission, and payment posting.\n* We're already seeing early customers cutting their back office teams by 50-75% within weeks of implementing Toothy.\n\n### **Launch video**\n\n\n\n### **❌ The problem**\n\n* Dental practices **waste 800 million hours** and **$13.2 billion** per year on time-consuming and repetitive back-office tasks. On top of that, dental practices are facing an unprecedented labor shortage and **90**% of them find it extremely or very challenging to fill vacant positions.\n* The largest, most time-consuming, and error-prone part of a dental practice’s back office is revenue cycle management (RCM)—the process of getting paid. **80%** of dental practices face financial concerns due to RCM challenges. Tasks like insurance verification, claim submission, and payment posting are labor-intensive and prone to errors. Frequent policy changes make it difficult to verify coverage, leading to billing discrepancies and delayed payments.\n\n### **✅ The solution**\n\n![uploaded image](/media/?type=post&id=87923&key=user_uploads/2386492/97bc335c-1d5b-4c4a-ab85-e45f800ca7b2)\n\n* Toothy’s AI agents automate the entire RCM process, **saving practices 160+ hours per month and increasing revenue by 5-10%**. Our AI agents handle everything from insurance verification to payment posting, eliminating the largest source of administrative burden.\n* How do our agents work?\n 1. **☎️ Verify Insurance** – Calls payers and check online portals to confirm coverage.\n 2. 📝 **Input data** - Fills out and uploads a comprehensive breakdown form with 50+ codes into your practice management system.\n 3. 📬 **Create and submit claims** - Accesses imaging software, clinical remarks, and plan details to create & submit comprehensive claims.\n 4. 🛠️ **Correct denials** - Understands denial reasons, updates the claim, and resubmits to payers. Can even draft appeal letters.\n 5. **💰 Payment posting** - Collects, scans, and deposits insurance checks into your bank account.\n* Toothy becomes your full-time RCM team, reducing staff workload and ensuring faster, higher reimbursements.\n\n### **🙏 Our Ask**\n\n* Toothy is already working with dozens of forward-thinking dental practices who never want to deal with insurance again. If that sounds like you, we'd love to talk:\n * 👉 Book a demo: [Here](https://calendly.com/toothy-ai/toothy-ai-demo)\n * Learn more: [toothy.ai](http://toothy.ai)\n* For other inquiries, please email [founders@toothy.ai](mailto:founders@toothy.ai)", "url": "https://www.ycombinator.com/launches/Ms7-toothy-ai-automating-insurance-verification-claims-for-dental-clinics", "votes": 76, "created_at": "2025-02-22T18:42:24.753Z" } ] }, { "id": 30232, "name": "careCycle", "slug": "carecycle", "former_names": [ "Nodable Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png", "website": "https://www.careCycle.ai", "all_locations": "San Francisco, CA, USA", "long_description": "careCycle is an AI workforce for medicare agencies and FMOs - helping leading agencies achieve 5x higher conversions, 37% better retention, and saving thousands of agent hours.\r\n\r\nWe're transforming how Medicare agencies handle member relationships with teams of voice AI agents. We're solving the industry's biggest challenge: 50% annual member churn caused by poor post-enrollment engagement.\r\n\r\nOur multi-agent AI teams work together to handle the entire customer journey - from initial contact through enrollment and ongoing care. When a lead comes in after hours, one AI agent answers and schedules a callback, another calls at the perfect time, a third captures qualifying information, and a fourth handles the warm transfer to a licensed agent. This approach helped a leading FMO write over $2M in renewals during AEP 2024 while reducing agent talk time by 20% per sale.\r\n\r\nWe've pioneered a purpose-built solution for Medicare's unique compliance requirements. Unlike generic AI platforms, our system features built-in HIPAA/CMS compliance, real-time data structuring, and seamless CRM integration. This enables agencies of all sizes to deliver enterprise-grade member care without massive infrastructure investments.\r\n\r\nEarly metrics show the power of our approach:\r\n\r\n- 5x increase in after-hours conversion rates\r\n- 37% improvement in 90-day retention\r\n- 3,000+ agent hours saved in a single AEP\r\n- $2M+ in additional renewals during AEP 2024\r\n\r\nThe Medicare Advantage market represents a massive opportunity, with over $360B in annual premiums and growing 10% year over year. By solving the member retention challenge, we're positioning ourselves to capture significant value by transforming the member care experience for beneficiaries.", "one_liner": "Voice AI teams for medicare agencies.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740261060, "tags": [ "Health Insurance", "Telecommunications", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "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/carecycle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/carecycle.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carecycle-yc-w25", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/care-cycle", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1b8bd345ff5810b9be022e3139b3f6c9e6046237.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3048994a2ce8552a3403628ca2facf6a9c850cd9.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c45ca6499202cf5641dae5853d68b5bcbc83fa86.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2032692, "full_name": "Alex Doonanco", "title": "Founder/CEO", "founder_bio": "Building careCycle, voice AI teams for medicare agencies. Previously grew horizontal voice AI company from $0-$1M ARR in 6 months.\n\nEvery great discovery starts with the search for a better explanation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexdoonanco", "x_url": "https://x.com/AlexDoonanco", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd0f912ae5c6d054416a6c05311ccebf3d5eddad.jpg" }, { "user_id": 458762, "full_name": "Evan Roubekas", "title": "Founder/CTO", "founder_bio": "Software Engineering graduate from UVic, specializing in AI orchestration to optimize Medicare customer experiences through coordinated automated touchpoints.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evanroubekas/", "x_url": "https://twitter.com/0xevangelos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ada66005da01c2fb1a632513ba1438d9e5852c32.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88449, "title": "careCycle: Voice AI teams for Medicare Agencies", "tagline": "Providing personalized member care to 33M+ seniors on medicare advantage & supplement plans", "body": "**TL;DR** careCycle provides AI voice teams that handle the entire Medicare member journey, helping agencies greet members by first name 24/7, and provide a space to feel heard.\n\nIn the process, we’re tackling the industry’s single biggest problem: churn. Our early customers are achieving 37% better retention while saving thousands of agent hours.\n\n![uploaded image](/media/?type=post&id=88449&key=user_uploads/2032692/c5b3b836-cf5f-41da-ab78-e560a6cb9949)\n\n\n\n## Medicare Agencies are **Bleeding**, and Seniors are Left in the Dark.\n\nMedicare agencies face a devastating 50% annual member churn rate due to poor post-enrollment engagement. Licensed agents are forced to chase new sales instead of nurturing existing relationships, creating a vicious cycle that hurts both agencies and seniors.\n\nIt’s so bad that agencies we’ve spoken with actually **_lost money_** after selling thousands of policies in Q4 2024.\n\n## The Solution: Autonomous Member Care Teams that Make Seniors Feel Heard.\n\nWe've built multi-agent AI teams that work together across the full customer journey:\n\n**Pre-Screening:**\n\nBecause of increasingly aggressive marketing angles used to generate inbound calls, agencies drop hundred or thousands of inbound calls each day.\n\nOn top of this, agents spend previous time speaking with beneficiaries who might not be eligible or interested in their plan, who are at risk of being sold something they will cancel anyway.\n\ncareCycle takes calls 24/7, pre-screening callers, and seamlessly warm transferring to available licensed agents to assist them. If nobody’s available, we simply schedule an appointment that another AI team member automatically fulfills.\n\n**Post-Enrollment:**\n\nOur AI teams play a critical roll in keeping customers up to date on their policy application; something a shocking number of agencies don't have time to do.\n\nIn the process, we'll provide them a space to feel heard and get any questions about their new plan answered.\n\nAfter verifying the answer with a human-in-the-loop system, we deliver the message through another personalized and HIPAA complaint touchpoint.\n\n## Early Results\n\nSince launching in Q4 2024, careCycle has:\n\n* Helped a leading FMO write over $2M in renewals\n* Talked with 50,000+ medicare beneficiaries\n* Saved 4,000+ agent hours\n* Achieved 5x increase in after-hours conversion rates\n* Improved 90-day retention by 37%\n\n## Why Now?\n\nBefore founding careCycle, I led GTM at AI Rudder, a leading horizontal voice AI company.\n\nI saw firsthand how generic AI solutions failed in highly regulated industries like Medicare. agencies need purpose-built solutions that maintain strict compliance while delivering exceptional customer experiences.\n\n_Beyond expanding bandwidth for agencies, this technology allows us to **invent new touch points** previously unimaginable._\n\n## Our Ask\n\nIf you know any:\n\n* Medicare agency owners or executives\n* FMOs looking to provide better tooling for their agents\n* Healthcare compliance officers exploring AI solutions\n* Insurance industry professionals interested in contact center automation\n\nPlease reach out at [alex@carecycle.ai](mailto:alex@carecycle.ai) or book time [here](https://calendly.com/carecycle/30min).", "url": "https://www.ycombinator.com/launches/N0b-carecycle-voice-ai-teams-for-medicare-agencies", "votes": 26, "created_at": "2025-03-11T00:48:01.554Z" } ] }, { "id": 30325, "name": "Roark", "slug": "roark", "former_names": [ "Roark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "website": "https://roark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.", "one_liner": "Test, monitor, and improve your voice agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1737797905, "tags": [ "Analytics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/roark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/roark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106073945", "x_url": "https://x.com/roarkanalytics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/roarkhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d8432d508c98941a2f2c053c1a579106909c1a3.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 91038, "full_name": "James Zammit", "title": "Founder/CEO", "founder_bio": "James Zammit (CEO) is an infrastructure and AI engineer with 10+ years of experience. Previously a Senior Engineer at AngelList, he built core portfolio infrastructure as the company grew from $10B to $124B in assets under management, and led the development of Relay, an AI-powered portfolio manager processing thousands of financial documents each month. He also co-founded a startup showcased at Google I/O 2016 in partnership with Firebase, and received scholarships from Meta and Apple.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zammitjames", "x_url": "https://x.com/zammitjames", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c1041ab46bdf1f351b525d1b02e5c949bb10518.jpg" }, { "user_id": 320609, "full_name": "Daniel Gauci", "title": "Founder/CTO", "founder_bio": "Daniel Gauci (CTO) is a software engineer with 10+ years of experience. Previously a Senior Engineer at Akiflow (YC S20), he helped scale the company to $1.5M ARR and over 10,000 customers. Daniel spent seven years at Casumo, leading the development of a mobile app used by millions of players, significantly contributing to the company’s growth to over $50M ARR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaucidaniel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/045f1f81ef3751897dcbae72acf3a1197e3b9d3d.jpg" } ], "jobs": [], "news": [ { "title": " Roark: Test, monitor, and improve your voice agents | Product Hunt", "url": "https://www.producthunt.com/products/roark-yc-w25?launch=roark", "date": "Aug 26, 2025" } ], "launches": [ { "id": 87658, "title": "Roark - The Observability & Testing Platform for Voice AI", "tagline": "Replay real production calls against your latest agent changes, catch failures, and track sentiment.", "body": "## **TL;DR**\n\nRoark is an observability and testing platform for Voice AI that shows you whether your agent meets its goals, tracks how customers feel, and lets you replay real calls on your latest changes.\n\nIf you’re building voice AI agents and want a faster, smarter way to test and improve them, we’d love to connect! Email [james@roark.ai](mailto:james@roark.ai) or [book a time here](https://calendly.com/james-roark/book-a-demo).\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/0caf0c5a-2421-4fcf-8b6a-2867de8d581f)\n\n_(Replay real calls without picking up the phone.)_\n\n## **The Problem: Testing Voice AI Is Painfully Manual**\n\nOnce a voice agent is live, teams have no easy way to test updates. Every time you tweak a prompt or logic, you have to manually call the bot, hoping to catch issues before customers do.\n\n* Does the agent follow the right flow? You don’t know unless you re-run conversations by hand.\n* Did a change break something? You won’t find out until users complain.\n* How do customers actually experience the bot? Traditional testing tools only analyze text transcripts, missing tone, hesitation, or frustration.\n\nVoice AI teams, especially in healthcare, legal, and customer support need real-world validation for every change they ship. But existing testing tools rely on scripted test cases that don’t reflect real interactions, leading to blind spots and regressions.\n\n## **The Solution**\n\nRoark lets you replay real production calls against your newest AI logic, so you can test changes before they go live. No more manually dialing your bot or relying on outdated scripted tests - get real-world validation instantly.\n\nHow It Works:\n\n1. Capture real-world calls: Automatically ingest production conversations from your existing voice AI setup (integrates seamlessly with VAPI, Retell, or custom APIs).\n2. Replay calls on your updated agent: Our system re-runs the same user inputs, sentiment, and tone against your latest agent, cloning the original caller’s voice for more realistic testing.\n3. Evaluate goal completion: Define key objectives (e.g., “Did the agent confirm insurance?”) and automatically flag failures or missteps.\n4. Monitor sentiment & vocal cues: Detect frustration, long pauses, sighs, and hesitation - signals that text-based evaluations miss.\n5. Track performance with reports & dashboards: Visualize conversation flows, track drop-offs, and measure key metrics with Mixpanel-style analytics.\n6. Get real-time alerts: Set up custom monitoring for compliance violations, negative sentiment spikes, or repeated failures.\n\nRoark gives AI teams the same confidence in testing, iteration, and monitoring that software engineers had for years with modern dev tools.\n\nCheck out our demo below!\n\n\n\n## **Why We Built Roark**\n\nWe first ran into this problem while building a voice agent for a dental clinic. Patients kept reporting issues, getting stuck in loops, failing to confirm insurance, or receiving irrelevant responses. But the only way to test fixes was to call the bot ourselves or read through hundreds of transcripts, hoping to spot patterns. It was frustrating, slow, and unreliable.\n\nAfter talking to other teams working on Voice AI, we realized this problem was universal - everyone was struggling to validate their AI’s performance efficiently. That’s when we decided to build Roark.\n\n## **Team**\n\nWe’re engineers who have built and scaled complex systems at high-growth companies:\n\nJames Zammit (CEO) – Infra and AI engineer with 10+ years of experience. Previously at AngelList, where he worked on core infrastructure as the company scaled from $10B to $124B in assets under management and led the development of Relay, an AI-powered portfolio manager. Co-founded three startups, one of which partnered with Firebase and was showcased at Google I/O 2016.\n\nDaniel Gauci (CTO) – Software engineer with 10+ years of experience. Previously at Akiflow (YC S20) as part of the mobile development team, helping the company reach $1.5M ARR and 10,000+ customers. Spent 7 years at Casumo, leading the development of the mobile app used by millions of players helping the company reach $50M+ ARR.\n\n## **Try it out!**\n\nIf your team is tired of manually testing voice AI updates and wants a faster, more reliable way to validate changes, email us at [founders@roark.ai](mailto:founders@roark.ai) or [book a demo here](https://calendly.com/james-roark/book-a-demo) - we’d love for you to try out Roark.\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/b44daa71-7f56-4c40-9c89-8dd4edf07bd3)\n\n", "url": "https://www.ycombinator.com/launches/Mnq-roark-the-observability-testing-platform-for-voice-ai", "votes": 39, "created_at": "2025-02-13T19:09:59.210Z" } ] }, { "id": 30441, "name": "stratify", "slug": "stratify", "former_names": [ "Swarm AI", "Stratify AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1a50cfaa4d20f355d56916b604b0530b1c260eb.png", "website": "https://www.trystratify.com", "all_locations": "San Francisco, CA, USA", "long_description": "Stratify is the AI-powered user researcher that discovers the why behind every decision, click, and preference.\r\nOur platform uses agentic workflows that instantly recruit participants, conduct user interviews, analyze responses, and provide actionable insights.", "one_liner": "AI agents that help you understand your customers' needs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747936990, "tags": [ "B2B", "Design", "Consumer Products", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "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/stratify", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/stratify.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getstratify", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1a50cfaa4d20f355d56916b604b0530b1c260eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2549216, "full_name": "Siddhartha Javvaji", "title": "Founder/CEO", "founder_bio": "Siddhartha is the Co-Founder and CEO of Stratify. Siddhartha studied Computer Science and Computational Biology at Stanford, where he conducted AI research at Stanford's Human-Centered Artificial Intelligence Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/siddhartha-javvaji-23b81617a/", "x_url": "https://x.com/sidjavvaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7427f07b1b2b4bc6e930829a21ad27888d94f126.jpg" }, { "user_id": 1159085, "full_name": "Pratham Hombal", "title": "Founder/CTO", "founder_bio": "Pratham is the CTO of Stratify. He studied Computer Science at Stanford, where he conducted high performance computing research and won top hackathon awards for building voice agents. \n\nIn the past, Pratham has been internationally recognized for his work in using ML for AI plagiarism detection, biological analysis, and cancer detection.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prathamhombal/", "x_url": "https://x.com/prathamhombal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/228b7b013d4267ef38d2d12403286d1f8567f64a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90668, "title": "Stratify - The AI User Researcher", "tagline": "The AI-powered user research platform that discovers the why behind every customer decision, behavior, and preference.", "body": "Hey everyone! We’re [Siddhartha](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) and [Pratham](https://www.linkedin.com/in/prathamhombal/), co-founders of [Stratify](https://www.trystratify.com) and we’re saving companies millions by helping them understand their users better.\n\n# **TL;DR**\n\nFailing to understand _what_ your users truly want can kill a company. Stratify uses AI agentic workflows to instantly recruit participants, conduct dynamic user interviews, analyze responses, and provide actionable feedback. With simple queries like \"What do users think of our new checkout flow?\" or “Which prototype resonates most with users?”, Stratify delivers authentic customer feedback within a few hours.\n\n[Stratify Launch Video](https://youtu.be/j0Py7pKyuy4)\n\n---\n\n# **🤦‍♂️ The User Research Problem**\n\n**Here's the brutal truth**: 90% of product failures happen because teams don't truly understand their users. You can’t really blame them because traditional user research **is broken**:\n\n1. **💸 Focus groups are expensive:** $15K+ for 8 people in a room for 2 hours. Half of them drop out last minute, and you're left wondering if these insights represent your actual users.\n2. **📅 Manual interviews take weeks:** Booking user interviews feels like herding cats. Calendars stay empty for weeks while your launch deadline approaches. And big ideas _cannot_ wait.\n3. **📝 Surveys are unresponsive and impersonal:** Generic forms with dropdown menus can't capture the _why_ behind user behavior. You get some data, but absolutely no story.\n\n**The result?** Teams ship based on assumptions, not insights. Features flop. Users churn. Millions of dollars wasted.\n\n![uploaded image](/media/?type=post&id=90668&key=user_uploads/2549216/0e975083-d540-4aed-91ac-ea337164777b)\n\n---\n\n# **✨ Introducing Stratify**\n\nWhat if you could ask \"What do users think of our new product?\" and get answers from hundreds of real users in under a few hours? That's exactly what Stratify does.\n\n1. **🚀 Define your Research Questions:**\n\n Simply describe what you want to learn about your product or upload product materials: _\"How do millennials feel about our pricing?\"_ Our vetted AI researcher transforms your query into a comprehensive study framework in seconds.\n2. **🎯 Smart Participant Matching:**\n\n Set demographic and behavioral parameters or simply specify a query like \"U.S., Gen Z, Online Shopper, Foodie\". Our AI automatically finds the perfect participants from our network of millions of real users or directly within your own company’s customers.\n3. **🎥 Uncover Real Insights:**\n\n Watch our AI agents conduct hundreds of interviews simultaneously, asking follow-up questions that dynamically adapt to each participant’s unique responses. Uncover the _why_ behind user behaviors that surveys and focus groups miss completely.\n4. **🧠 Instant Analysis:**\n\n Transform hours of interview content into actionable intelligence instantly. Search conversations semantically, generate reports and slides presentations, or simply chat with your data to find exactly what you need to know.\n\n---\n\n---\n\n# **🎉 Our Ask**\n\n* **🚀 Building something new?** Try Stratify before your next feature launch, whether that’s your website, onboarding flow, product prototypes, etc. It could save you months of building the wrong thing—seriously.\n* **💬 Know any product managers, product designers, or founders?** They'd love this. User research is their biggest pain point.\n* **🙌 Support us** with a follow or share. Every bit helps us reach more teams who are tired of guessing what users want.\n\n---\n\n# **👥 The Team**\n\n[**Siddhartha**](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) (CEO) and [**Pratham**](https://www.linkedin.com/in/prathamhombal) (CTO) have studied computer science at Stanford, where they’ve conducted AI and high performance compute research at renowned labs. They met in their freshman dorm at Stanford and have been roommates and building together since.\n\nThey’ve been in your shoes. They’ve launched features that flopped, ignored user feedback until it was too late, and learned the hard way that assumptions kill products. Now they’re making sure no other team has to learn it the hard way.\n\n---\n\n---\n\n---\n\n---\n\n**_Users have opinions. Are you listening?_**\n\n* **Try Stratify:** [https://www.trystratify.com](https://www.trystratify.com/%5C)\n* **Questions?:** [sid@trystratify.com](mailto:sid@trystratify.com) & [pratham@trystratify.com](mailto:pratham@trystratify.com)\n\n ", "url": "https://www.ycombinator.com/launches/NaO-stratify-the-ai-user-researcher", "votes": 23, "created_at": "2025-05-22T22:15:46.972Z" } ] }, { "id": 30451, "name": "Bluejay", "slug": "bluejay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1da0f5ca2648eccf749e97a890ad3887f0dc7eb7.png", "website": "https://getbluejay.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bluejay’s mission is to engineer trust into every AI interaction, becoming the trust layer between businesses and their customers.", "one_liner": "Test, monitor, and improve your voice and chat AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746833867, "tags": [ "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "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/bluejay", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bluejay.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/get-bluejay/", "x_url": "https://x.com/getbluejay_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bluejay-ai-486e", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1da0f5ca2648eccf749e97a890ad3887f0dc7eb7.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": 343489, "full_name": "Rohan Vasishth", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Bluejay, building the only quality assurance platform for AI agents. Prev. at AWS Bedrock. CS + Econ @ UChicago. Goal: 40 followers on Bookface.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohanvas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b47d7609de610c4a49d9bf70c7782bd842083d1.jpg" }, { "user_id": 1376037, "full_name": "Faraz Siddiqi", "title": "Founder/CTO", "founder_bio": "Founder/CTO @ Bluejay, building the first quality assurance agency for voice AI.\nEx-MSFT Copilot, Masters CS @ UIUC.", "is_active": true, "linkedin_url": "https://linkedin.com/in/farazmsiddiqi", "x_url": "https://x.com/farazmsiddiqi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2af54b0ce62fa80c6255e0d220cd49d830f8801.jpg" } ], "jobs": [ { "id": 78634, "title": "Software Engineer Intern", "url": "https://www.ycombinator.com/companies/bluejay/jobs/jaE0uqb-software-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10.5K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 90945, "title": "Senior Member of Technical Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/7lJoSCc-senior-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$225K - $300K", "equity_range": "0.01% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "SQL" ] }, { "id": 97632, "title": "Founding SDR", "url": "https://www.ycombinator.com/companies/bluejay/jobs/GwwNBgE-founding-sdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97633, "title": "Growth & Marketing Lead", "url": "https://www.ycombinator.com/companies/bluejay/jobs/vDY6G0A-growth-marketing-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] }, { "id": 97634, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/L35mQ37-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97635, "title": "GTM Engineer", "url": "https://www.ycombinator.com/companies/bluejay/jobs/bJ6qvpe-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $160K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97636, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/bluejay/jobs/vqkbnZP-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $300K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101786, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/mqrSm6z-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "LLMs" ] } ], "news": [ { "title": "Ex-Amazon, Microsoft Employees Raised $4M for AI Startup Bluejay - Business Insider", "url": "https://www.businessinsider.com/bluejay-ai-startup-amazon-microsoft-y-combinator-2025-8", "date": "Aug 27, 2025" } ], "launches": [ { "id": 90520, "title": "Bluejay - Quality Assurance for AI Voice Agents", "tagline": "Ultra-realistic simulations, evaluations, and production call monitoring for AI voice agents. ", "body": "**TL;DR:** Bluejay **learns** about your agent, **mimics** your customers, and **simulates** every customer interaction **_BEFORE_** you release your product. With Bluejay, **simulate 1 month of customer interaction in 5 minutes.**\n\nIf you are building a voice agent, let us[ run a sanity check](https://cal.com/rohanv) for you.\n\n**Mission:** enable developers to trust their AI voice agents.\n\n**Problem:** We were **sick and tired** of manually call-testing our voice agent 50 times before every release. Turns out, **so was everyone else** building voice agents. \n\n**Solution:** So, we built a platform that **does 100x the testing we could ever do, in minutes.** From there: fix the bug laundry list, re-run Bluejay’s test suite, and push to prod[.](https://youtu.be/bpWu_0TWIP4)\n\n**Think about it:** SaaS has robust, feature-rich E2E testing platforms, CI/CD, and regression testing. _Why don’t AI voice agents have the same?_\n\nFor us, building Bluejay wasn’t a “let’s see if this works” idea. \n\nIt was a no-brainer. \n\n**Key Features:**\n\n* **Mimic: Hyper-realistic Customer Simulations:** Generate a custom workforce of **digital humans** to test every conversational turn of your voice agent. Our digital humans speak/have varied languages, accents, background noise, tone, delivery, emotion, and vocal punctuation. They’re better at being customers than your real customers…\n* **Skywatch: Production Observability:** Another no brainer. Why stop at testing your agents pre-production? We tell you what went wrong with production calls, and how to fix it.\n* **Research-backed Evaluation:** Bluejay learns about your agent’s goals, and tells you how close it got to achieving them. And of course, the standard stuff: latency, redundancy, hallucination, tool calls, interruptions, sentiment… anything worth knowing, really.\n\nVoice agents **_need_** automated, scalable testing. And we won’t stop at voice. \n\n**The Team:**\n\n[Rohan](https://www.linkedin.com/in/rohanvas/) is ex-AWS Bedrock, and went to UChicago studying CS + Econ. He built a profitable SaaS company in college.\n\n[Faraz](https://www.linkedin.com/in/farazmsiddiqi/) is ex-Microsoft Copilot, and did his undergrad/masters in CS at UIUC, where he researched high quality synthetic data generation and context compression for LLMs.\n\n**Do us a solid:**\n\nIf you are building voice agents, give us a shot:[ ](https://getbluejay.ai/)[https://getbluejay.ai](https://getbluejay.ai%5B.%5D\\(https://getbluejay.ai/\\))[.](https://getbluejay.ai/)\n\nOr, book a call here:[ https://cal.com/rohanv.](https://cal.com/rohanv)\n\n![uploaded image](/media/?type=post&id=90520&key=user_uploads/1376037/a4ba8c15-48ca-4c91-aa17-0a3754baf70f)\n\n", "url": "https://www.ycombinator.com/launches/NY0-bluejay-quality-assurance-for-ai-voice-agents", "votes": 163, "created_at": "2025-05-19T16:26:47.460Z" } ] }, { "id": 30732, "name": "Humoniq", "slug": "humoniq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd360d85931a0845b568ab55a8dd586fb4c3941c.png", "website": "https://humoniq.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Humoniq is fully automating customer support for travel & transport industries, which outsource $20B of customer support each year. Our AI-native approach improves speed, accuracy, and satisfaction.\r\n\r\nWe handle support requests across phone, email and chat. And because we connect directly to Sabre and Amadeus, we don’t just answer questions, we fully resolve complex issues. As a result, airlines need far fewer people and travelers get help much faster.\r\n\r\nOur team is uniquely equipped to solve this challenge. We previously grew a travel management company, Flightfox (YC S12), to $25M/yr. We handled thousands of customer requests each month, which exposed the limitations of traditional outsourcing.", "one_liner": "Airline customer service, fully automated.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1751772864, "tags": [ "Travel", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "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/humoniq", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/humoniq.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/humoniq", "x_url": "https://x.com/humoniq_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd360d85931a0845b568ab55a8dd586fb4c3941c.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": 33409, "full_name": "Todd Sullivan", "title": "Founder/CEO", "founder_bio": "CEO and co-founder of Humoniq, building voice AI agents for airlines and travel agencies. Previously co-founded and built Flightfox (YC S12) to over $20m in annual sales. Before that, I was a software engineer at DoD (AU) and Raytheon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/todsul/", "x_url": "https://x.com/todsul", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/303e984c9fa8bf6e11a3e6b1d93a3555983636fe.jpg" }, { "user_id": 2538575, "full_name": "Will Weber", "title": "Founder/CRO", "founder_bio": "Co-Founder at Humoniq. Previously led growth and product at Flightfox (YC S12). Also played pro soccer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/w-weber/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94861945ad0e9a73587bee9e8bdbb40e90162388.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93225, "title": "Humoniq - AI Contact Center for Travel", "tagline": "The first customer support center for travel & transport companies run by AI agents, not humans.", "body": "We’re [Will](https://www.linkedin.com/in/w-weber/) and [Todd](https://www.linkedin.com/in/todsul/) 👋 and we’re building the first customer support outsourcing option for travel and transport companies that doesn’t rely on humans. Instead of massive offshore teams, Humoniq runs on AI agents delivering faster, cheaper, more helpful service.\n\nWe previously built [Flightfox (YC S12)](https://www.ycombinator.com/companies/flightfox) where we grew revenue to over $22M annually, and ran support operations handling millions of customer interactions. That experience showed us how easily traditional outsourcing breaks under the pressure of travel’s unique demands, and gave us the conviction that AI is the only way to build something better.\n\n[**https://youtu.be/Fzlotm1gQzw**](https://youtu.be/Fzlotm1gQzw)\n\n# **❌ The Problem:**\n\nTravel and transport companies spend billions on outsourced customer support, and the experience for travelers is among the worst of any industry. Long waits and frustrating conversations with agents who are underpaid, poorly trained, and burned out by repetitive work are the norm. These failures aren’t accidents, they are the predictable outcome of how the system is built.\n\nTraditional business process outsourcing companies (BPOs) are designed to handle high-volume, repetitive work at lower cost than hiring a fully in-house team, but the tradeoffs in customer experience are steep. The model relies on large pools of low-wage, undertrained workers, and gaps in language or cultural context make interactions slower and less effective. For travelers, that means slow, inconsistent support and unresolved problems. For travel companies, it means unhappy customers.\n\n# **✅ The Solution:**\n\nWe’re replacing the old outsourcing model. Instead of relying on massive teams of low-wage human workers, we rely on voice and text AI agents that scale instantly, operate around the clock, and deliver consistent service every time.\n\nOur AI contact center covers both front-office support, for example, airlines handling flight changes, seat requests, or baggage questions, and also back-office tasks such as processing ticket exchanges, issuing refunds, and updating reservations. By automating both the customer conversations and the follow-up tasks, requests are resolved quickly and without handoffs.\n\nFor travelers, this means getting help right away and leaving with a resolution instead of frustration. For travel companies, it means keeping the efficiencies of outsourcing while finally delivering the level of service that makes customers happy.\n\n# **🙏 Our Ask:**\n\nOutsourcing is broken. It’s time to rebuild it with AI. If you know leaders at airlines, travel agencies, travel management companies, or large transport providers who care about customer experience, we’d love to chat. And if you’re an investor who wants to be part of replacing the old model, now’s the time.\n\nEmail: [**founders@humoniq.ai**](mailto:founders@humoniq.ai)", "url": "https://www.ycombinator.com/launches/OFd-humoniq-ai-contact-center-for-travel", "votes": 16, "created_at": "2025-08-21T19:06:49.717Z" } ] }, { "id": 30736, "name": "PARES AI", "slug": "pares-ai", "former_names": [ "PARES" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbbb70598f14b005aa7da32e84d2d14fed9e3e3a.png", "website": "https://www.pares.ai/", "all_locations": "Los Angeles, CA, USA", "long_description": "PARES is an AI-native real estate services firm, providing investment sales brokerage and property management to institutional and middle-market property owners and investors across the country. \r\n\r\nReal estate is an extremely labor-intensive business, often requiring scaling headcount to grow, being extremely local to submarkets, and operating on low margins. With AI, these services can be centralized and delivered better, faster, and at a fraction of the cost.\r\n\r\nAI-native brokerage:\r\n- Prospecting sellers through automated inbound and outbound outreach\r\n- Underwriting deals and producing marketing materials with speed and precision\r\n- Surfacing hidden buyers, running the marketing process, and negotiating contracts\r\n- Handling all back-office, accounting, and additional support\r\n\r\nAI-native property management: \r\n- Communicating with tenants and vendors around the clock\r\n- Screening leasing prospects, sending applications, and drafting leases\r\n- Collecting rents, making payments, and chasing delinquencies\r\n- Running accounting, payroll, and owner reporting\r\n\r\nCheck us out at https://www.pares.ai/", "one_liner": "AI-native real estate services firm", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1752084453, "tags": [ "Real Estate", "Proptech", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/pares-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pares-ai.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pares-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbbb70598f14b005aa7da32e84d2d14fed9e3e3a.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": 2453509, "full_name": "Zihao Wang", "title": "Founder/CEO", "founder_bio": "Zihao is the Founder of PARES. Before PARES, Zihao ran a $500M+ real estate fund at Motiva Holdings and led 39 multifamily value-add and development projects across CA, NC, and FL. He also studied CS & AI at MIT, giving him expertise in both technology and real estate.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zihao-wang-mh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3aa66e79840c35b86086e14909477a4413e3870d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92120, "title": "PARES AI - Helping Commercial Real Estate Brokers Find & Close More Deals", "tagline": "All-in-One Solution for CRE Brokers", "body": "👋 Hey! I’m Zihao, founder of PARES AI.\n\n**🎯 TL;DR:** I’m building the single AI platform commercial real estate brokers and investors need to source, track, underwrite, and market deals.\n\nOur Launch Video:\n\nhttps://www.youtube.com/watch?v=_LA9YHCv-js\n\n**❌ The Problem:**\n\nA few years ago, I dropped out of MIT to get into the commercial real estate industry. As an investor, I’ve been underwriting deals, managing assets, building relationships with brokers, and in the process, I realized something daunting ☠️… the amount of software brokers have to use to do their jobs is INSANE 😱! Some use up to 7 platforms 🤯!\n\nEvery day, brokers use a mix of CoStar, TruePeople, CRM, Excel Sheets, Constant Contact, Adobe/Canva, etc. to take a deal from start to finish. Juggling all this software leads to unorganized and inefficient workflows, missed follow-ups, and lost opportunities.\n\nCommercial real estate brokers admit themselves to being the least tech savvy. Ironically, they’re expected to juggle the most amount of software! \n\n**✅ Our Solution:**\n\nWe’re building the all-in-one solution for commercial real estate brokers. \n\nWith our platform, brokers can:\n\n1. Automatically update real-time transaction data in our CRM\n2. Create lists of target properties, skip-trace, and easily navigate outbound calls\n3. Underwrite deals with our AI Underwriting Agent\n4. Create OMs/BOVs in minutes with our AI Marketing Agent\n\n**👥 Team:**\n\n**Zihao:** Previously ran a $500M+ real estate fund at Motiva Holdings and led 39 multifamily value-add and development projects across CA, NC, and FL. Previously CS at MIT.\n\n**🙏 Our Ask:**\n\nIf you know any commercial real estate brokers, please let us know!\n\nReach us at [admin@pares.ai](mailto:admin@pares.ai).", "url": "https://www.ycombinator.com/launches/Nxo-pares-ai-helping-commercial-real-estate-brokers-find-close-more-deals", "votes": 28, "created_at": "2025-07-14T17:48:12.483Z" } ] }, { "id": 30806, "name": "Uplift AI", "slug": "uplift-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2008e580fb1146da7922b566c2a03af87f5a0c.png", "website": "https://upliftai.org/", "all_locations": "San Francisco, CA, USA", "long_description": "We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. \r\nDevelopers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc).\r\n\r\nWe gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages.\r\n\r\n---\r\n\r\nPeople who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface.\r\nWe believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. \r\nUplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.", "one_liner": "Foundational Voice Models for regional languages", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1750590533, "tags": [ "Speech Recognition", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "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": [ { "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": "Hammad left Apple and took a year off to figure out what he wanted to do with the next decade of his career.\\\r\nFirst month: finished netflix :) \\\r\nThen he spent two months reviewing 20 years of voice tech research papers in chronological order… and somewhere in there realized that there is an opportunity to make amazing voice models for smaller languages — faster than big tech." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "One way I will answer this question. For now i will use it to increase SEO ranking for a new product we are trying. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "At the core, we are solving the problem of universal access to digital knowledge and digital services. \\\r\n\\\r\nPeople who would previously never use certain digital services (like online ordering, or online health advice), actually use the service when they are given an intuitive Voice based interface — especially in emerging markets.\\\r\n\\\r\nVoice Interfaces make it more natural and intuitive to use technology; and we believe it will onboard 100s of millions of new users onto digital services. This will make people more productive, and increase GDP per capita. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "When we truly succeed, the world will access technology through our Voice Tech.\\\r\n\\\r\nAnd the GDP per capita would increase around the world, as more people will be able to take full advantage of technology using intuitive voice interfaces. \\\r\n\\\r\nCurrently a large part of the world is unable to fully utilize technology coz text-interfaces are very confusing for many people." } ], "url": "https://www.ycombinator.com/companies/uplift-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/uplift-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/upliftai/", "x_url": "", "fb_url": null, "cb_url": "https://upliftai.org/ai-calling", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2008e580fb1146da7922b566c2a03af87f5a0c.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": 1455159, "full_name": "Hammad Malik", "title": "Founder/CEO", "founder_bio": "CEO at Uplift AI. Building Voice Models for regional languages. Previously developed voice technology at Apple Siri and Amazon Alexa for about 9 years. Cornell University alumni.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hammad2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68417dab5a3c88034acc6500406a732dc3fc6ed6.jpg" }, { "user_id": 650101, "full_name": "Zaid Qureshi", "title": "Founder/CTO", "founder_bio": "CTO at Uplift AI. Building Voice Models for regional languages. Previously: Designed AWS Bedrock Guardrails.", "is_active": true, "linkedin_url": "https://linkedin.com/in/zaidqureshi", "x_url": "https://x.com/zqureshi_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/213c6ace31f4682223f0ff84235321060d66a70d.jpg" } ], "jobs": [ { "id": 103104, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/u9rZioW-founding-design-engineer", "location": "Lahore, Punjab, PK", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$1.5K - $2.5K / monthly", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "CSS", "React", "TypeScript", "Prototyping", "Design systems", "Branding", "Marketing design", "Figma" ] }, { "id": 103116, "title": "Founding Engineer - Frontier Tuning Platform", "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/rC1wCHI-founding-engineer-frontier-tuning-platform", "location": "Lahore, Punjab, PK", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1.5K - $2.5K / monthly", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Machine Learning", "Deep Learning", "Fine-tuning", "Evals", "MLOps" ] } ], "news": [], "launches": [ { "id": 103672, "title": "Urdu-speaking AI models — really really desi style", "tagline": "Authentic Urdu AI voices — from nosey aunties to angry molvis.", "body": "We have trained an AI model called Orator, that speaks Urdu with human-like realism. To the best of our knowledge, it is the first model that can speak Urdu in an authentic way: the way everyday people speak Urdu in everyday life.\n\nWe have voices from “the whole mohalla“ (entire neighborhood). From angry molvis and nosey aunties, to thailay walas, and burger boys.\n\n**You can experience the voices at [UpliftAI.org](http://UpliftAI.org).** The website will allow you to experience dozens of voices in seconds by just clicking/hovering the circles.\n\n![uploaded image](/media/?type=post&id=103672&key=user_uploads/1455159/ac1e7d0f-ca3e-4fc0-aac6-4cc61a89797e)\n\n**Making the model**\n\nWe have put our heart into this work, and enjoying it more than any work we have ever done in the past.\n\nWe started with the map of Pakistan and asked: how do people sound in every district. That gave us the accent list.\n\nThen, we asked ourselves: what are all the unique characters we would interact with in a typical month as we go about our normal life. This gave us our character/persona list.\n\nWe then hired a leading voice producer and worked with him to hire voice actors and script writers, and then spent months doing voice recordings in studios in Karachi, Lahore, Quetta and Islamabad.\n\nOnce the voices were recorded, then we hired 50 contractors to label data.\n\nThe final and the simplest step was the model training. We trained a very small 32M param VITS2 inspired model.\n\nThe results are very encouraging.\n\n\\- Here is someone creating a story book using our voices: \n\n\\- Here is me just having fun with it: [https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/](https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAQRT3MBhOY-xG4s8JvUtCqBaUrSdpKe93Y)\n\n**Ask**\n\n* If you know anyone that may benefit from this, please do connect us.\n* If you know any actors, dubbers or media houses that would be interested in recording more characters, please do connect us.\n* I can be reached at: or [founders@upliftai.org](mailto:founders@upliftai.org) ", "url": "https://www.ycombinator.com/launches/Qy8-urdu-speaking-ai-models-really-really-desi-style", "votes": 7, "created_at": "2026-06-23T16:15:41.627Z" } ] }, { "id": 30853, "name": "Bolna AI", "slug": "bolna-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png", "website": "https://bolna.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Bolna handles the complexity of voice infra, so enterprises can automate calls faster, better, and cheaper, at scale\r\n\r\nBolna is a Voice AI Orchestration platform purpose-built for Indian enterprises.\r\nBusinesses in India run tens of thousands of calls every day - across sales, support, collections, recruitment, and more. Bolna gives them the power to build and deploy Voice AI Agents directly from their transcripts and FAQs, so they can start automating calls immediately.\r\n\r\nWith Bolna, enterprises get:\r\n\r\n1. Full control over agent intelligence, tone, and workflows\r\n2. Cost efficiency at scale with smart routing across providers and price points\r\n3. Enterprise-grade performance on latency, interruptions, multi-language, and multi-accent understanding\r\n\r\n", "one_liner": "Voice AI to enable India's next billion", "team_size": 21, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758900227, "tags": [ "B2B", "Infrastructure", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia", "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/bolna-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bolna-ai.json", "year_founded": null, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/bolna-ai/", "x_url": "https://x.com/bolna_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/whismurwave-inc", "github_url": "https://github.com/bolna-ai/bolna", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f1ccd6a8c9fc96f2cb6904ab26e0b38dfaa5ea8a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1427127, "full_name": "Maitreya Wagh", "title": "Founder/CEO", "founder_bio": "Engineer turned Consultant turned AI Founder. Building the Total Voice AI Ochestration for India. Love sports and travel", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maitreya-wagh/", "x_url": "https://x.com/maitreya_wagh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd57dd6d87585a243317dbf8e55d05df3a61701c.jpg" }, { "user_id": 340680, "full_name": "Prateek Sachan", "title": "Founder/CTO", "founder_bio": "Building the Voice API infrastructure platform for India.\n\nPreviously built and scaled Zomato, Tata 1MG, BrowserStack & Atlassian.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prateek-sachan", "x_url": "https://x.com/xan_ps", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b79cc81789e524489e929c7c68ca77473fa839a.jpg" } ], "jobs": [], "news": [ { "title": "Bolna nabs $6.3M from General Catalyst for its India-focused voice orchestration platform", "url": "https://techcrunch.com/2026/01/20/bolna-nabs-6-3-million-from-general-catalyst-for-its-india-focused-voice-orchestration-platform/", "date": "Jan 20, 2026" }, { "title": "Bolna AI’s Bold Bet: Becoming the Distribution Layer for Every Voice Model", "url": "https://analyticsindiamag.com/ai-startups/bolna-ais-bold-bet-becoming-the-distribution-layer-for-every-voice-model/", "date": "Sep 09, 2025" } ], "launches": [ { "id": 94216, "title": "Bolna - Voice AI for India", "tagline": "We enable Indian businesses to automate calls with multilingual, realistic Voice AI agents", "body": "Call our AI Agents at [+18722412481](tel:+18722412481) or [+912269539260](tel:+912269539260) to know everything about Bolna!\n\nhttps://www.youtube.com/watch?v=Lq9ouROmRHA\n\n**The Problem**\n\nIn India, phone calls remain the backbone of how businesses operate - from banks chasing loan repayments, to edtech companies qualifying leads, to e-commerce brands confirming deliveries. Millions of such calls happen every day. But the system is broken:\n\n* **20+ Languages, 200+ Accents/Dialects**: Building a team that can handle all is impossible. Calls often switch mid-conversation (Hindi → Hinglish → Gujarati), and only a natural, adaptive AI can follow along and give a personalised experience to each caller.\n* **Context-Dependent Requirements**: A delivery driver in Bangalore needs a low-latency, Kannada-capable model with high noise cancellation. A recruitment call to an engineer requires a slower but higher-quality reasoning model. There is no “one model to rule them all,” and integrating and managing 100s of models at scale is an unwanted hassle for businesses.\n* **Cost Efficiency at Scale**: In India, every rupee matters. Voice AI must be engineered for efficiency - pre-recorded messages for common utterances, smaller vertical-focused models, and intelligent routing to minimize token usage.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/bb2d0f37-0050-4606-8271-c8664a3d541b)\n\n**The Solution**\n\nBolna is a **Voice AI Platform** purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.\n\n* **Enterprise-grade performance**: Sub-500ms latency, interruption handling, multi-language (10+) and accent (50+) adaptation, fluent in natural multi-language conversations (Hinglish, English + Tamil etc.)\n* **India-specific routing**: Bolna automatically picks the optimal model blend for the context, regardless of language, region, or use case.\n* **Cost-efficiency engine**: Calls are optimized with pre-recorded inserts, cheaper small models where possible, and routing logic that prioritizes ROI without sacrificing experience.\n* **Complete control**: Enterprises define workflows, tone, and intelligence. Bolna handles everything behind the scenes.\n\nToday, Bolna powers **500K+ minutes of calls every month** across BFSI, e-commerce, and recruitment. Customers achieve **higher pickup rates, lower costs, and faster deployments** than with any alternative.\n\nFor Indian enterprises, Bolna is not just automation, it is the fastest path to scaling voice operations profitably.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/b5dd1f69-0a2d-4256-97d8-fc281cbccd14)\n\n", "url": "https://www.ycombinator.com/launches/OVc-bolna-voice-ai-for-india", "votes": 38, "created_at": "2025-09-30T05:29:03.741Z" } ] }, { "id": 30919, "name": "Codyco", "slug": "codyco", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f6ef97ecdc81fb89e8dc020bc91142bcb83a908.png", "website": "https://www.codyco.ai/en", "all_locations": "BY, Germany", "long_description": "€5,000 in additional bookings. In 4 weeks. For a 53-room hotel.\r\n\r\nWe help hotel groups turn missed calls into bookings.\r\n\r\nThis it how it works: \r\n\r\n- They send their missed calls to us.\r\n- Our AI answers and takes the booking.\r\n- The booking goes right into their PMS.\r\n\r\nEven with call centers and central reservation departments they are still losing 5% of calls. \r\n\r\nThat is a seven figure revenue leak. \r\n\r\nWhy us? \r\nWe used to build software that can’t fail for massive companies. We started Codyco after a friend told us how much money he was losing from missed calls. We built the first version just for him.\r\n\r\nNow we give hotel groups the reliable AI they need, so they never lose a booking on the phone again.", "one_liner": "The AI Reservation Team for Hotel Groups", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760645667, "tags": [ "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "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/codyco", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/codyco.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/codycoai", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/codyco", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f6ef97ecdc81fb89e8dc020bc91142bcb83a908.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": 2547250, "full_name": "Stefan Schaff", "title": "Founder/CEO", "founder_bio": "Stefan is the Co-founder of Codyco, based in Munich. A veteran data/AI leader, he has delivered multi-million-euro analytics programs for DAX-listed companies and scaled cross-functional teams from 3 to 12. At Motius (2020–2025), he served as Head of Data & AI, acting as Project Owner and Solution Architect on a €2M rebuild of Siemens’ global invoice analytics (10M invoices/month, 1,000+ users) and leading cloud migrations from SAP to Snowflake/AWS/Glue. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefanschaff/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/acc1dd7b052d528816e481353518ccdad6e5a4f4.jpg" }, { "user_id": 2549838, "full_name": "Endrit Bytyqi", "title": "Founder/CTO", "founder_bio": "Co-founder of Codyco, experienced in building agentic AI products and large-scale data platforms.\nAt Motius, as a Senior Tech Specialist, led a Siemens supply-chain reporting platform integrating 100+ SAP systems. At PRIME, rebuilt analytics pipelines that cut ML runtimes from days to hours. Drove the development of BCG knowledge management platform.\n\nCo-founded Open Data Kosovo; delivered civic-tech products, trained dozens of developers in OSS and co-authored open-source projects.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/endrit-bytyqi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/067e2d698eab0ae2d2a46f4f757fdbcef4c39386.jpg" }, { "user_id": 2421101, "full_name": "Alexander Schober", "title": "Founder", "founder_bio": "Alex is the Co-founder of Codyco, based in Munich. A builder at the intersection of AI, knowledge graphs, and product, he grew a single €60k PoC into an enterprise initiative with €500k+ in signed contracts and a >€1M pipeline, standardizing processes across 17 business units for rollout to 50,000 employees. Earlier at Siemens, he developed one-class anomaly detection for federated learning (PyTorch, Ray) and helped launch the “Tech for Sustainability” program—personally raising €25k and scaling", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-schober/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed2b4c34420ed9a4c1c3e9426b8025bd62a9f640.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94743, "title": "Codyco: AI Receptionists for Hotel Groups", "tagline": "We help hotel groups turn missed calls into bookings!", "body": "# **We made $5,000 in additional bookings. For a tiny 53-room hotel. In just 4 weeks.**\n\n_Watch our Launch Video - [here](https://youtu.be/A7g1MlJDIZ0)_\n\n**Here's how.**\n\n* They forwarded missed calls to us.\n* Our AI answered.\n* They saw bookings appear in their PMS.\n\n6 months after starting we **_already work with 7 hotel groups._**\n\nThe results have been incredible, and that $5k is just one example. For another one **_listen to Felix from the Revo Munich in the Video!_**\n\nThe reason being that even the best central reservation offices and call centers miss 5% of their calls.\n\nAfter hours. During peak hours. On holidays.\n\nFor a mid-sized hotel group, that's a seven-figure \"rounding error.\"\n\nThat’s why we build an AI Receptionist that helps hotel groups turn missed calls into bookings.\\\n\\\n\\_\\_\n\n**🎉 To celebrate, we're offering a one-time AI Ambassador Partnership:**\n\n**→ AI Strategy Workshop** — free (no strings)\n\n**→ Zero Risk Pilot with Codyco** → Money-back if you’re unhappy; if you’re happy, Pilot fee is credited toward your account.\n\n**→ Commit to a roll-out of > 10 hotels** → get 3 hotels free for 3 years (license fees waived)\n\nThe offer closes in 7 days. Details [here](https://www.notion.so/AI-Ambassador-Partnership-Terms-28d0ec9f0e6d80b0b6cedcd4d23628be?pvs=21)\\\n\\\n\\_\\_\n\n**📣 Want to help us?**\n\nIf you know somebody in hospitality, help us get this to the right people.\\\n➡️ Check the list below, any connection is highly appreciated!\n\nIf you are a leader in a hotel group, let’s have 10 minute chat: \\\n➡️ Schedule here: [**https://cal.com/alex-schober/ai-ambassador-partnership**](https://cal.com/alex-schober/ai-ambassador-partnership)\\\n\\\n**\\___\\_**\n\n→ Drury Hotels: [**https://www.linkedin.com/company/drury-hotels/people/**](https://www.linkedin.com/company/drury-hotels/people/%5C**)\n\n→ Hilton: [**https://www.linkedin.com/company/hilton/people/**](https://www.linkedin.com/company/hilton/people/%5C**)\n\n→ Aimbridge Hospitality: [**https://www.linkedin.com/company/aimbridge-hospitality/people/**](https://www.linkedin.com/company/aimbridge-hospitality/people/%5C**)\n\n→ Choice Hotels: [**https://www.linkedin.com/company/choice-hotels-international/people/**](https://www.linkedin.com/company/choice-hotels-international/people/%5C**)\n\n→ Sonesta: [**https://www.linkedin.com/company/sonesta-hotels/people/**](https://www.linkedin.com/company/sonesta-hotels/people/**)", "url": "https://www.ycombinator.com/launches/Oe7-codyco-ai-receptionists-for-hotel-groups", "votes": 14, "created_at": "2025-10-19T21:45:53.736Z" } ] }, { "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": 30995, "name": "Velvet", "slug": "velvet", "former_names": [ "Inline", "Lenscape" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c02ad81894db8e1b1d0e71c379c7cae04211613.png", "website": "https://velvetlab.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Expressive conversational AI", "one_liner": "Expressive conversational AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761236237, "tags": [ "Generative AI", "Data Engineering", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "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/velvet", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/velvet.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/velvet-ai-lab/", "x_url": "https://x.com/Velvet_Lab_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c02ad81894db8e1b1d0e71c379c7cae04211613.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e66656b5e1c4869bcbecd4c0bef2936af174b35.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2559459, "full_name": "Lucas Mantovani", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO of Velvet. Ex conversational data + youngest member @ Meta FAIR. CS honors @ UChicago. Brazilian olympiad medalist in Math + Physics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-mantovani-a446a61a9", "x_url": "https://x.com/lrmantovani_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18122521571dcca4dbbd773deaf133f79578c670.jpg" }, { "user_id": 2292731, "full_name": "Lucas Tucker", "title": "Founder/COO", "founder_bio": "Co-founder, CTO of Velvet. Previously at Adobe. Math and Computer Science at UChicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-tucker-21b278175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dba8487d05c5b0e40e12c4d46ec70f578f4555b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32169, "name": "Speko", "slug": "speko", "former_names": [ "Speko Group, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a79212fefd832b4ac7d28da1ad3a7bc206dffaa1.png", "website": "https://speko.ai/?utm_source=ycombinator&utm_medium=profile", "all_locations": "San Francisco, CA, USA", "long_description": "Speko is a router for voice models: one API key, and your voice agent runs on the speech-to-text, LLM, and text-to-speech models we measured as best for your language and use case. The measurements are public at benchmarks.speko.ai: we test new models the day they ship and re-route when the numbers change, so you rewrite nothing. We ran this bake-off by hand for four years at previous company, shipping production voice for Fortune 500s.", "one_liner": "OpenRouter for Voice AI: one API, every call on the best speech model", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783393099, "tags": [ "Developer Tools", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/speko", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/speko.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/speko-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a79212fefd832b4ac7d28da1ad3a7bc206dffaa1.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": 451241, "full_name": "Beknazar Abdikamalov", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Speko (YC S26). Previously co-founder and CTO of Hupo (voice AI; $14M raised; backed by DST Global and Meta), where he spent four years shipping production voice AI for fortune 500s in 10+ languages. Earlier a software engineer at Amazon; MS in CS from UNIST, Korea.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abdik/", "x_url": "https://x.com/beknabdik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a75e51d58a4fc108e1eb811218e0697d5c41ffe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108267, "title": "Speko: OpenRouter for Voice", "tagline": "Every speech model, benchmarked language by language, wired into one API.", "body": "Speko is a router for voice models. One API key, and your agent runs on the speech-to-text, LLM and text-to-speech models we measured as best for your language and use case.\n\n![uploaded image](/media/?type=post&id=108267&key=user_uploads/451241/2038963f-c769-47a9-8fd9-c59f3966027b)\n\n### I picked voice stacks by trial and error for four years\n\nA voice agent is three models in a row: speech-to-text, then an LLM, then text-to-speech. Three vendors, a dozen credible options each. You run a bake-off, you argue about whose numbers are real, and you ship the combination that felt best that month.\n\nThen next week another model drops. And another. Nobody has time to re-run the bake-off, so the stack you picked under deadline quietly becomes the stack you are stuck with for a year.\n\nThat is how most voice agents are running today. Not on the best models. On the models that were best whenever someone last had a free week.\n\nPublic leaderboards do not settle it either. They are averages over somebody else's audio, in somebody else's conditions.\\\n\\\n[https://drive.google.com/file/d/1AjC8WVA96kUBdD09RJMUgFfvxGfxPvL-/](https://drive.google.com/file/d/1AjC8WVA96kUBdD09RJMUgFfvxGfxPvL-/view?usp=sharing)\n\n### We measure, then we route\n\nWe benchmark the speech models people actually ship on, language by language, and publish everything at [benchmarks.speko.ai](http://benchmarks.speko.ai): word error rate, finalize latency, time to first token, cost per minute. When a vendor ships a new model we test it the same day and the board updates.\n\nPoint your agent at Speko and that measurement becomes routing. One API key across every provider we support. Tell us the language and the conditions, and your traffic runs on the stack our numbers say wins. When the numbers change, the routing changes and you rewrite nothing.\n\nIf a provider fails when we open the connection, the router drops to the next ranked model on its own.\n\n### Or build the agent with us\n\nYou do not need an existing agent to start. A few lines gets a working voice agent live on Speko, and it inherits the same routing from day one.\n\nIf you are picking a voice stack right now, start with the numbers at [benchmarks.speko.ai](http://benchmarks.speko.ai), then build on them at [speko.ai](http://speko.ai).", "url": "https://www.ycombinator.com/launches/SAF-speko-openrouter-for-voice", "votes": 14, "created_at": "2026-07-29T19:10:13.923Z" } ] }, { "id": 32526, "name": "Pluto", "slug": "talentpluto", "former_names": [ "Talentpluto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ed12c5974a12759a4a83154066015d6c91fc4df.png", "website": "https://talentpluto.com", "all_locations": "San Francisco, CA, USA", "long_description": "Resumes made careers readable. LinkedIn made them filterable. Pluto makes them searchable.\r\n\r\nProfessionals spend 10 minutes talking to Pluto's voice agent about what they've done, what they're great at, and what they want next. Pluto turns that into a structured picture of who someone actually is, capturing the competency and intent that resumes and LinkedIn don't.\r\n\r\nWhen companies and AI agents go looking to hire, Pluto makes the right people discoverable.\r\n\r\n27K+ professionals have shared their career context with Pluto, and 50+ companies, including Mercor, Warp, and Rho, use it to find and reach the right people. Long-term, we're building the LinkedIn for agents.\r\n", "one_liner": "LinkedIn for agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1782230867, "tags": [ "AI", "Careers", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/talentpluto", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/talentpluto.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/talentpluto-inc", "x_url": "https://x.com/talentpluto", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/talentpluto", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ed12c5974a12759a4a83154066015d6c91fc4df.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": 1666957, "full_name": "Sahil Seth", "title": "Founder/CEO", "founder_bio": "CEO @ Pluto. Previously built an AI interviewer used by billion-dollar recruiting firms. Led AI recruiting transformations at Bain and advised a Fortune 5 company. Graduated summa cum laude from Northwestern, elected to Phi Beta Kappa, and received the Frederick Shipp Diebler Award as the top economics undergraduate.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sahilseth9", "x_url": "https://x.com/sahil_seth9", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1ef8412e27d4d136715fadcd78e698768fe50aa.jpg" }, { "user_id": 3207785, "full_name": "Maki Potamianos", "title": "Founder/CPO", "founder_bio": "CPO @ Pluto. Founded and scaled an edtech marketplace in college. Sole graduate with a dual degree in both applied mathematics and finance, completing the mathematics degree in two years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaelpotamianos/", "x_url": "https://x.com/Maki_Potamianos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bd6ff8b549fd4ce443e3677fd9844e3a2a11cdf.jpg" }, { "user_id": 1155860, "full_name": "Tony Xavier", "title": "Founder/CTO", "founder_bio": "CTO @ Pluto. Built an open source no-code editor competing with Lovable and Replit; researched voice agents and RAG systems. Placed top 0.1% nationally in India in math and physics. UMich Physics, Mechanical Engineering, and CS.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/tony-xavier", "x_url": "https://x.com/TonyXavier_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51b490006f7200aec10a5f9aafd7cdab562462ea.jpg" } ], "jobs": [ { "id": 115910, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/talentpluto/jobs/SIrtJNc-founding-engineer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.15% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "PostgreSQL", "React", "TypeScript", "SQL", "Next.js", "LLMs" ] } ], "news": [], "launches": [ { "id": 105611, "title": "Pluto - AI voice agent that helps professionals get discovered", "tagline": "Pluto is an AI voice agent that learns a professional’s story in a 10-minute conversation, makes them discoverable to the right people and AI agents, and creates warm introductions to startups when there’s a fit.", "body": "Hey YC, we’re Sahil, Maki, and Tony. We’re building Pluto ([talentpluto.com](https://talentpluto.com/))\n\nResumes made careers readable. LinkedIn made them searchable. Pluto makes them understood.\n\n\n\n**TL;DR** - A professional talks to Pluto for 10 minutes about what they’ve done, what they’re great at, and what they want next. Pluto makes that context discoverable to the right people and AI agents, helping them understand the person more fully. When there’s a real fit, Pluto can also make a warm introduction to a startup.\n\n18K+ professionals have already shared their career context with Pluto. 100+ companies use Pluto to meet people with their full story, including Mercor, David AI, Rho, Warp, and Runlayer.\n\n**Ask:** Talk to Pluto and let it get to know your work. If you’re hiring, send us the role and we’ll introduce you to people with context and confirmed interest.\n\n### **The problem**\n\nA resume and online profile are not enough for the AI era.\n\nThey show where someone worked and what title they had. They do not capture what the person actually did, what they are unusually good at, and what they want next.\n\nThat context usually lives in conversations. So professionals get reduced to keywords, logos, and titles, while the people and AI agents trying to understand them are left with an incomplete picture. \n\nHiring makes this problem obvious. Companies miss great people because the real signal never makes it online. But as AI agents increasingly help people find, evaluate, and connect with one another, every professional will need a richer, more accurate way to be understood.\n\n### **The solution**\n\nPluto is an AI voice agent that understands a professional’s career and puts that understanding to work.\n\nProfessionals talk to Pluto for 10 minutes about their experience, strengths, goals, preferences, and what they want to keep private. Pluto asks follow-up questions, remembers the context missing from their resume, and makes them discoverable to the right people and AI agents.\n\nCompanies tell Pluto who they want to meet. Pluto searches its network and the broader market, understands fit on both sides, privately confirms interest, and makes a warm introduction when both sides want to connect. No mass applications. Professionals stay private and in control. Companies meet people who are already understood.\n\n**How It Works**\n\n1. Talk to Pluto for 10 minutes\n2. Review what it learned and choose what to share\n3. Get found and understood by the right people and AI agents\n4. Get introduced to startups when there’s a fit\n\n### **Why We Started This**\n\nThe best hiring has always happened through trusted, high-context introductions. We think AI can make that possible for everyone.\n\nWarm introductions are one way Pluto puts that understanding to work today. Long term, Pluto becomes the career context layer for the AI era - the version of a professional’s story that agents can understand, trust, and act on, while the professional stays in control.\n\n### **Our Ask**\n\nIf you’re a professional, talk to Pluto and let it get to know your work. \n\nIf you’re a founder, hiring leader, or talent engineer, send us the role you’re hiring for.\n\n[talentpluto.com](http://talentpluto.com)\n\n\\- Sahil, Maki, Tony", "url": "https://www.ycombinator.com/launches/RTP-pluto-ai-voice-agent-that-helps-professionals-get-discovered", "votes": 19, "created_at": "2026-07-16T16:33:18.764Z" } ] }, { "id": 36180, "name": "Vexo", "slug": "vexo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f5a22fcf5a6680c6393b3e9a8d4a4c477c2f10.png", "website": "https://www.vexoai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Every AI today waits for a prompt. Vexo already has the context: the restaurant a friend mentioned, the intro you promised, the idea you had on a walk. It turns what it hears into private memories and acts on them, booking the table, sending the follow-up, and ordering the groceries through the apps you already use.\r\n\r\nIt's a woven bracelet with a microphone and health sensors. No screen, and nothing to open.\r\n\r\nVexo never keeps your audio. Only you can see your memories, and you can delete them anytime.", "one_liner": "An AI bracelet that remembers your day and acts before you ask.", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1790588061, "tags": [ "AI-Enhanced Learning", "Hardware", "Productivity", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "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/vexo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/vexo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vexoaiinc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f5a22fcf5a6680c6393b3e9a8d4a4c477c2f10.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": 1123245, "full_name": "Haris Malik", "title": "Founder/CEO", "founder_bio": "Previously at Tesla and K-Scale Labs (W24). CS at UofT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/haris-malik-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cc8502c04b3dcc19ddc914e04a34e496d067ac5.jpg" }, { "user_id": 4000265, "full_name": "Farqaleet Kiani", "title": "Founder/CTO", "founder_bio": "Previously at Tesla, AMD, GM, Geotab & Molex. Mechatronics @ McMaster", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kianif/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e575490b71f75836ac606155eb4306155eed93a.jpg" }, { "user_id": 2442542, "full_name": "Vikram Narra", "title": "Founder/CPO", "founder_bio": "Previously Amazon and Shopify. CS at UofT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vikramnarra/", "x_url": "https://x.com/vikramnarra13", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c9885b6926300ac6a9b730e83aec0269861b5e1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36777, "name": "Sona8", "slug": "sona8", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68fe01dae2c3bf0906f880c9a0f3fca2b2a16863.png", "website": "https://sona8.com", "all_locations": "San Francisco, CA, USA", "long_description": "Sona8 uses AI voice agents to interview employees about how work gets done. Consulting, transformation and corporate development teams use it to hear from more people and follow up after changes.\r\n\r\nEmployees open a link and speak in their own language. The agent asks follow-up questions, and teams compare problems across sites and departments. We’ve completed 10,000+ employee interviews and signed one of the world’s top three consulting firms.\r\n\r\nWe’re building the context layer and operating system for strategy teams: combining employee knowledge with company data to understand operations, improve processes and put decisions into action. The same context will guide AI agents as they take over work, so the company keeps what it learns.", "one_liner": "Context layer from employee voices to improve & automate workflows", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1788994017, "tags": [ "HR Tech", "Infrastructure", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "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": "Thilo and I worked together at BCG, interviewing employees and repeatedly going back to them during implementation. On our evening runs, we started asking whether AI could make those conversations possible across an entire company.\r\n\r\nWe started building after BCG, while I was at MIT and Thilo was researching conversational AI at TUM. As pilots gained traction, we both left our programs. Madeleine brought her experience as a self-taught engineer, repeat founder and former principal engineer at McKinsey QuantumBlack." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Every major decision depends on context. Much of it sits with employees who know how work happens and why things fail, but that knowledge rarely reaches the people deciding what to change.\r\n\r\nWe’re building Sona8 into the operating system for strategy and transformation teams. We will combine what our voice agents learn from employees with company data to build a live model of the organization. Teams will use it to compare alternatives and understand what a decision would require across sites and departments.\r\n\r\nThe same model will be the context layer for AI automation. Sona8 will use it to deploy agents and coordinate execution, then learn from the results. Small teams will be able to steer company-wide change, with the organization keeping what it learns as people and agents move on." } ], "url": "https://www.ycombinator.com/companies/sona8", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/sona8.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sona8/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/68fe01dae2c3bf0906f880c9a0f3fca2b2a16863.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": 3105161, "full_name": "Anton Hantel", "title": "Founder/CEO", "founder_bio": "Founder at Sona8. Previously consultant at BCG. Left my MBA at MIT to pursue Sona8. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anton-hantel/", "x_url": "https://x.com/anton_hantel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c14efb12829902c98a22acefb4498ba903d68b9a.jpg" }, { "user_id": 3678831, "full_name": "Madeleine Malmsten", "title": "Founder/CTO", "founder_bio": "Founder at Sona8, leading tech. Previously principal engineer at McKinsey & Company / QuantumBlack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mmalmsten", "x_url": "https://x.com/madde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f607e063e70742117b7da2519cdb306640b41c09.jpg" }, { "user_id": 3201024, "full_name": "Thilo Tamme", "title": "Founder/CPO", "founder_bio": "Founder of Sona8. Previously, Project Lead at BCG X and AI Researcher at TUM for conversational agentic-AI. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ttamme/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8ba204166c8494164fcfd905127a89f60550e3e.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator Launches of the Week", "url": "https://www.menlotimes.com/post/y-combinator-launches-of-the-week-181", "date": "Oct 13, 2026" }, { "title": "What Employees Tell AI Voice Agents About Workplace AI", "url": "https://techyorker.com/employee-ai-use-and-voice-agents-what-a-small-field-study-found/", "date": "Oct 11, 2026" }, { "title": "Sona8 entra en Y Combinator: las startups de IA que automatizan las entrevistas de trabajo", "url": "https://www.merca2.es/2026/10/05/sona8-y-combinator-startups-ia-2468011/", "date": "Oct 05, 2026" }, { "title": "Sona8: Former Consultants Get Into Y Combinator With A.I. Interviews | Trending Topics", "url": "https://www.trendingtopics.eu/sona8-y-combinator-ai-interviews/", "date": "Oct 05, 2026" }, { "title": "Sona8: Unternehmen nutzen Interviews mit KI", "url": "https://startupvalley.news/de/sona8-unternehmen-interviews-ki/", "date": "Sep 30, 2026" } ], "launches": [ { "id": 120585, "title": "Sona8: AI voice agents surveying employees about their work", "tagline": "The context layer for AI automation, starting with what employees say", "body": "**TL;DR:** [Sona8](https://sona8.com/) is building the context layer for AI automation tools, starting with AI voice surveys of employees. Corporate development, transformation and consulting teams use Sona8 to find out how to improve or automate processes.\n\n\n\nWe're [Thilo](https://www.linkedin.com/in/ttamme/), [Madeleine](https://www.linkedin.com/in/mmalmsten/) and [Anton](https://www.linkedin.com/in/anton-hantel/). We're building Sona8.\\\nAt BCG and McKinsey we often interviewed a few dozen people, hired interpreters and came back with a deck. The processes that were written down were never the lived processes and a few dozen interviews never gave us the full picture.\\\n\\\n**How it works**\n\n* **Choose what you want to improve or automate.** Pick a question and the people to survey. This could be about sales quoting or mapping processes before implementing AI.\n* **Survey employees with AI voice agents.** Employees talk to our voice agent about their work, in their own language. The agent asks follow-up questions to understand the problems they describe.\n* **Use the findings and check progress.** See themes across interviews by department, get process maps, and ask again later to see what changed.\n\n\\\n**Already live**\\\nWe’ve completed more than 10,000 employee interviews and signed one of the top three consulting firms.\\\n\\\n**Where this is going** \\\nCompanies will try a lot of AI agents and automation tools in the next few years. Each one needs to know how the work is done before it changes anything, and most of that isn't written down. Sona8 creates infrastructure for AI automation tools. Over time we are building a live context graph of workflows by reading the systems a company already uses and connecting them to what employees say. \\\n\\\n**Who it’s for**\\\nSona8 is for corporate development and transformation teams in enterprises, and the consulting firms supporting them. Reach out if you want to understand and improve how work gets done, roll out AI, or build AI tools that understand real-world workflows.\\\n**👉 [Book a demo](https://sona8.com/book-demo) / [anton@sona8.com](mailto:anton@sona8.com)**\n\n\\\n**Team**\n\n* [Anton Hantel (CEO):](https://www.linkedin.com/in/anton-hantel/) ex BCG, MIT MBA (dropped out)\n* [Thilo Tamme (CPO): ](https://www.linkedin.com/in/ttamme/)ex BCG X, TUM Conversational AI PhD (dropped out)\n* [Madeleine Malmsten (CTO):](https://www.linkedin.com/in/mmalmsten/) ex McKinsey QuantumBlack\n* [Jakob Schepers (Founding Engineer):](https://www.linkedin.com/in/jakob-schepers/) TUM CS Master's\n* [Niklas Schneider (Founding Account Executive): ](https://www.linkedin.com/in/nikschneider/) ITONICS, Maastricht SBE", "url": "https://www.ycombinator.com/launches/VMv-sona8-ai-voice-agents-surveying-employees-about-their-work", "votes": 52, "created_at": "2026-10-09T14:30:04.447Z" } ] }, { "id": 37566, "name": "The Agentic Data Co.", "slug": "the-agentic-data-co", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72ebbcacfd48c52bf6fc298c17ddf035a00bbc08.png", "website": "https://theagenticdatacompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "We design and collect audio datasets for training speech models.", "one_liner": "Training Data For Speech Models.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1788964517, "tags": [ "AI", "Conversational AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "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/the-agentic-data-co", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/the-agentic-data-co.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/theagenticdataco/", "x_url": "https://x.com/agenticdataco", "fb_url": null, "cb_url": null, "github_url": "https://github.com/The-Agentic-Data-Co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72ebbcacfd48c52bf6fc298c17ddf035a00bbc08.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": 736135, "full_name": "Christian Vestergaard", "title": "Co-Founder", "founder_bio": "Co-founder of The Agentic Data Company.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisvestergaard/", "x_url": "https://x.com/CVestergaard_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b7c98c539ead059320476be40f4613119e293e8.jpg" }, { "user_id": 3402778, "full_name": "Matias Voldby Drejer", "title": "Co-founder", "founder_bio": "Co-Founder at The Agentic Data Company. Prev. Head of Growth & Ops at Female Invest (S21).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matiasdrejer/", "x_url": "https://x.com/matiasdrejer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae175fc5bc0b93d49ea06bf770fb6a53f4fbc2eb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37831, "name": "Kairos Health", "slug": "kairos-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d10a5b9186b6b90521d447c81f5fffdf97d2c25.png", "website": "https://kairoshealthai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Kairos Health automates patient engagement for dentists by handling phones and insurance.\r\n\r\nKairos plugs into a dental practice's software, calls patients who are overdue for care, and books them directly into the schedule. 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She previously worked at Blueprint Medicines at Sanofi and developed AI models at the Icahn School of Medicine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanjana-kavula-710384236/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f813e4619a4554a4049f457c3b5f6cd506307ffc.jpg" }, { "user_id": 3686279, "full_name": "Adhira Tippur", "title": "Founder", "founder_bio": "Founder at Kairos Health (YC F26). Previously at ClearView Healthcare Partners.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adhira-tippur", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f697f5f381cd54d9e50edf0f983517af2f8826ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123366, "title": "Kairos Health: AI Front Desk for Dental Practices", "tagline": "Kairos Health automates patient engagement for dentists by handling phones and insurance.", "body": "**TL;DR:** Kairos plugs into a dental practice's software, calls patients who are overdue for care, and books them directly into the schedule. It also answers every inbound call 24/7 and verifies insurance.\n\n**The problem** Every dental practice has hundreds of thousands of dollars in revenue sitting idle in their patient management system. It comes from overdue cleanings, unscheduled treatment plans and insurance benefits that are about to expire. The front desk knows these patients are there, but they’re juggling check-ins, phones, and insurance all day, so these calls never get made. Automated texts are easy to ignore, and patients who call in often end up at voicemail.\n\n**What we do**\n\n* Find the patients who should be coming back by analyzing the practice’s data\n* Send personalized calls and texts using AI to book them into the schedule\n* Answer every inbound call 24/7, so no new patient goes to voicemail\n* Verify insurance benefits within seconds\n\n[Video here](https://youtu.be/pxs4TejXZ1Q) \n\n**Customer Results** \n\nWe are live in 16 locations across the US, including one of the biggest independent groups in Manhattan. For these practices each month on average, Kairos:\n\n* Increases monthly production by 20,000\n* Answers 179 missed calls\n* Books 46 appointments for hygiene and treatment\n\n**The team**\n\n* **Adhira Tippur** grew up helping out at her mother's dental practices, which inspired the idea for Kairos Health. She previously worked at ClearView Healthcare Partners, a life sciences consulting firm, and The Collectiv, a venture capital firm.\n* **Sanjana Kavula** studied computational neuroscience at Rice University. She previously worked at Blueprint Medicines at Sanofi and developed AI models at the Icahn School of Medicine.\n* **Aditya Jain** studied computer science at Georgia Tech. He previously worked at the New York Stock Exchange, building large-scale data pipelines for financial trading.\n* **Tanush Chintala** studied computer science at Georgia Tech as a Stamps President’s Scholar. He built developer infrastructure at AWS GuardDuty and developed AI-powered call routing systems at Nimbus Health.\n\n**Our ask**\n\n* If you run a dental practice or DSO, book a demo at [kairoshealthai.com](http://kairoshealthai.com). Practices that sign up this month get half off, for life.\n* If you know a dentist, office manager or DSO leader, we'd love an intro. Reach us at [founders@kairoshealthai.com](mailto:founders@kairoshealthai.com).", "url": "https://www.ycombinator.com/launches/W5m-kairos-health-ai-front-desk-for-dental-practices", "votes": 3, "created_at": "2026-10-19T21:30:02.808Z" } ] } ]