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Until you do the math. | Aramco Ventures", "url": "https://www.linkedin.com/posts/aramcoventures_last-week-we-published-our-ucla-benchmark-activity-7445352669445017600-d0qx?utm_source=share&utm_medium=member_desktop&rcm=ACoAAApW9sIBrGBTNp9GwB8sVsv04cpwJ5w56ZM", "date": "Apr 02, 2026" }, { "title": "Ferveret study says waterless cooling lifts AI efficiency", "url": "https://datacenter.news/story/ferveret-study-says-waterless-cooling-lifts-ai-efficiency", "date": "Mar 29, 2026" }, { "title": "Ferveret's Nuclear-Inspired Cooling Boosts AI, Slashes Water Use - BriefGlance.com", "url": "https://briefglance.com/articles/ferverets-nuclear-inspired-cooling-boosts-ai-slashes-water-use?utm_source=pr_outreach&utm_medium=email&utm_campaign=ap_61401-23118&utm_content=m_27486", "date": "Mar 26, 2026" } ], "launches": [] }, { "id": 24649, "name": "Kapacity.io", "slug": "kapacity-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/371852e7c57c58247dd6d4d5010a083c33b949f5.png", "website": "https://kapacity.io", "all_locations": "Helsinki, Finland", "long_description": "Kapacity.io is building the future of smart energy grids with an electricity Load Balancing service focused on buildings.", "one_liner": "Reducing energy costs & emissions in buildings.", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1625593591, "tags": [ "Real Estate", "Climate", "Renewable Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "Industrials", "Energy" ], "regions": [ "Finland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kapacity-io", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/kapacity-io.json", "year_founded": 2020, "city": "Helsinki", "country": "FI", "linkedin_url": "https://www.linkedin.com/company/kapacity-io/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/371852e7c57c58247dd6d4d5010a083c33b949f5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 427449, "full_name": "Jaakko Rauhala", "title": "Founder", "founder_bio": "Co-founder of Kapacity.io, which was acquired by EnergyHub in November 2024.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaakko-rauhala/", "x_url": "https://x.com/JayRauhala", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad73d298b4b34a81b414e439cf14f07c82b62ca0.jpg" }, { "user_id": 500245, "full_name": "Rami El Geneidy", "title": "Founder", "founder_bio": "I'm technical co-founder of Kapacity.io. I am building the next big thing for the energy and real estate sector so we all could enjoy a less hot and more sustainable future. When I am not doing that, I enjoy runs, hiking and climbing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramielgeneidy/", "x_url": "https://twitter.com/Eramismus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c901a76f003114fc30aec375a36f8ca21de76f8.jpg" }, { "user_id": 500705, "full_name": "Sonja Salo", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sonja-salo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f1c1935f6598affab21c7c582024845deba2e43.jpg" } ], "jobs": [], "news": [ { "title": "Kapacity.io is using AI to drive energy and emissions savings for real estate", "url": "https://techcrunch.com/2021/08/23/kapacity-io-is-using-ai-to-drive-energy-and-emissions-savings-for-real-estate/", "date": "Aug 23, 2021" } ], "launches": [] }, { "id": 26138, "name": "KorrAI", "slug": "korrai", "former_names": [ "KorrAI Technologies Ltd." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/33961621d8602321f304fcd55e4abfa80d7569d4.png", "website": "https://www.korrai.com", "all_locations": "Toronto, ON, Canada", "long_description": "KorrAI began in 2021 as a Canadian Space Agency research spin-off. We spent four years on ground deformation monitoring and geotechnical studies for mines and infrastructure, and kept running into the same problem: engineers who sign off on a site's safety have to synthesize reports by hunting for docs and data received from consultants, contractors, and site teams by hand.\r\n\r\nOver the last two years, we built TRAIL, a platform informed by interconnected data, powered by specialised AI agents, and supported by our experts. With TRAIL deployed at multiple mine sites across the US and Canada, we envision turning risk management into a proactive process. When records span decades, a wrong answer has regulatory and safety consequences; it is necessary to have complete knowledge of risks and take action in time. \r\n\r\nOur team of satellite data experts, geoscientists, and AI engineers monitors more than $100 billion in assets across the globe. TRAIL reads a site's full record: reports, drawings, inspection notes, monitoring data, satellite imagery, and ground deformation, etc. It builds a location-based knowledge graph. AI Agents run defined risk passes over the graph, flag contradictions, cross-link data, and present findings. Every finding cites its source page and data point, so a regulator or Engineer of Record can review it. Where no evidence supports a claim, TRAIL says so.\r\n\r\nTRAIL is used by closure professionals, geotechnical engineers, and Engineers of Record in mining, and by risk engineers and underwriters on data centers and other critical infrastructure. We work with organizations including Agnico Eagle, Hecla, Eldorado Gold, Stantec, AECOM, Ramboll, Amazon Web Services, and Zurich North America.", "one_liner": "Traceable AI for billion-dollar infrastructure.", "team_size": 20, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1643659113, "tags": [ "Climate", "Mining", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Canada", "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/korrai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/korrai.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/korrai/", "x_url": "https://twitter.com/KorrAITech", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/korrai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/33961621d8602321f304fcd55e4abfa80d7569d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cec82964d6a84e18433a1e577dc6334214ae9f6e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fc3806b7dc8e6c5dd49c94d73228423e09f12b00.png" ], "primary_partner": null, "founders": [ { "user_id": 492046, "full_name": "Rahul Anand", "title": "Founder", "founder_bio": "Serial founder. Started Mycopie in my second year at NIT Karnataka and sold it, then built and sold HopCar, a consumer app. Spent the years between building enterprise IoT systems for ONGC in oil and gas, Ooredoo in telecom and Nokia in manufacturing. Co-founded KorrAI in 2020 out of a Canadian Space Agency research project and grew it to 20 people. We build AI agents for mining; our product, TRAIL, builds the safety case the Engineer of Record signs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahulanandnitk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c51785b7e1e7ce40ff06b7bf37b0ab7cb4b0708a.jpg" }, { "user_id": 852151, "full_name": "Rob McEwan", "title": "Founder", "founder_bio": "My passion for knowledge and tinkering with technology quickly lead me to transition from a professional hockey career to the geosciences, where I found an absolute fascination with image sensors, spectroscopy, and working with geospatial data.\n\nI am driven by the pursuit of commercially viable technologies and solutions for industries that are most critical to the transition to a sustainable economy. I believe in open data, collaboration, and strong digital privacy protections.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robmcewan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0cf0b98dc7fd6e18fba970ad8c8af629f390f6c.jpg" } ], "jobs": [], "news": [ { "title": "Asset Owners' Perspective: Understanding Site Condition Risks in Data center Construction", "url": "https://www.korrai.com/blog/asset-owners-perspective-understanding-site-condition-risks-in-hyperscale-construction", "date": "Jun 10, 2026" }, { "title": "How MICA and KorrAI Are Accelerating AI‑Enabled Mine Operations", "url": "https://www.korrai.com/blog/how-mica-and-korrai-are-accelerating-ai-enabled-mine-operations", "date": "Aug 31, 2025" }, { "title": "Understanding that sinking feeling: better managing subsidence risk | The Insurer", "url": "https://www.theinsurer.com/ti/viewpoint/understanding-that-sinking-feeling-better-managing-subsidence-risk-2025-01-30/", "date": "Jul 31, 2025" }, { "title": "Raised $1.6M to build digital twins for the global natural resources sector", "url": "https://www.korrai.com/post/raised-1-6m-to-build-digital-twins-for-the-global-natural-resources-sector", "date": "Nov 23, 2022" } ], "launches": [ { "id": 122378, "title": "TRAIL by KorrAI: AI Agents for Mining Risk", "tagline": "Deployed on 5 mine sites, for Engineers who sign high-consequence mine safety reports.", "body": "Hey YC, we’re Rahul, Rob, and Rajat from KorrAI (W22).\n\n**TL;DR:** We're building AI agents for engineers who sign off on mine safety reports. It connects site records, links evidence to failure modes, and supports critical decisions. Live on 5 sites with $1.7M booked in 2026, we’re raising a seed. Contact me at [rahul@korrai.com](mailto:rahul@korrai.com).\n\n\n\n### The Problem\n\nEvery tailings dam has an Engineer of Record. Their name and licence go on the document that says the dam and slope will hold, or that a closed site is safe. If that document is wrong, the liability is theirs. For example, in 2019, a tailings dam at Brumadinho, Brazil, failed and 270 people lost their lives. Engineers from the firm that certified it as stable were among 16 people charged with homicide.\n\n### How We Got Here\n\nWe started in 2021 as a spin-off from a Canadian Space Agency research project and spent four years building AI algorithms for geological and satellite data processing. When we worked with the engineers who prepare review reports, we saw what signing actually takes. They pull together decades of reports, sensor readings, inspections, and surveys provided by paid consultants, contractors, and site teams. All information is in different formats. They synthesize conclusions by hand every cycle. But with the overwhelming amount of data mine sites collect today, making sense of it across 20 different systems is daunting.\n\nThere’s a risk of missed, misinterpreted, or mistaken risk signals.\n\nAI is already in mining. It drives haul trucks, tunes processing plants, and watches camera feeds.\n\nBut there’s no solution for safety reporting because general AI gives plausible and, at times, hallucinated answers. It lacks an interconnected understanding of a mine site and the nuance from diverse sources. Our proprietary data, Ontologies, and Agents are purpose-built for that.\n\n### What TRAIL Does\n\nTRAIL reads the entire site record, enables engineers to link evidence to each failure mode, and supports decisions that matter for the facility. There’s a simple human-AI collaboration to arrive at the final report the engineer can sign.\n\n1. **The site record is connected:** reports, monitoring data, inspection notes, satellite and drone surveys, including the scanned paper nobody has opened in years.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/d49d95a5-0884-44c6-a496-ebb1b89fe8db)\n\n2. **Failure modes:** evidence linked to the ways each facility can actually fail, so the engineer sees what supports each conclusion and what doesn't.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/35039718-6227-433e-90ce-f47069b586ba)\n\n3. **Cited answers:** when the engineer asks questions, TRAIL answers with citations for each piece of evidence. Where no evidence supports a claim, TRAIL says so instead of guessing.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/3d66ca01-0cdb-4d92-9822-4478408dade4)\n\n4. **The engineer's sign-off:** the engineer reviews the evidence file and signs. TRAIL does the insight hunting; the engineer keeps the judgment.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/e4c61a2e-5659-4c97-9d93-584c1ac4ee26)\n\n\n**Founders & The Team**\n\n![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/d1a7e126-6cda-484f-aec3-e117496df6ce)\n\n**Rahul** - I'm the CEO. My first startup was acquired before I graduated. Before KorrAI, I built enterprise IoT systems for the tier-1 Indian heavy infra companies. I took KorrAI from a 2-person research project with the Canadian Space Agency to a team of 20, while also leading sales.\n\n**Rob (CRO)** - is a geologist who worked in the field for Atlantic Gold and then explored others before moving into remote sensing. He led the ground monitoring systems our mining customers run today.\n\n**Rajat (CTO)** - has 14 years of experience in software and worked on AR/VR and other cutting-edge tech. He works on geospatial AI and leads our architecture and data infrastructure for TRAIL.\n\nWe’re based in Toronto.\n\n### Progress & Traction\n\nTRAIL is live at operating and closing mine sites, 5 in total, in Canada and the US. We have $1.7 million booked this year, mostly recurring, all of it won from consulting budgets rather than software budgets. Our active customers include major mining operators, a global engineering firm, and a tech giant.\n\n### **Our ask**\n\nWe are raising a seed round to hire forward-deployed and evaluation engineers, because we have more in the pipeline than we can provide. If you invest in industrial or vertical AI, or know someone who does, write to me at [rahul@korrai.com](mailto:rahul@korrai.com)\n\nIf you know someone in a mining company or work at one, we'd love to do a live tour of TRAIL on a real project site.\n\n![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/4d9497c9-503b-4b80-a848-3042b31c27ad)\n\n", "url": "https://www.ycombinator.com/launches/Vpq-trail-by-korrai-ai-agents-for-mining-risk", "votes": 22, "created_at": "2026-10-15T16:06:07.640Z" } ] }, { "id": 26243, "name": "Phoenix Hydrogen", "slug": "phoenix-hydrogen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8301691eddf532285fe9add6d7c08ae5d764a72e.png", "website": "https://phoenixhydrogen.com/", "all_locations": "San Francisco, CA, USA; Berkeley, CA, USA; Remote", "long_description": "Phoenix Hydrogen is building the first commodity marketplace for hydrogen. This year, $9.5B in federal grants will fund the first hydrogen grids, but this ecosystem has no marketplace. We’re uniquely able to build one because we’re already working with big utilities on a fulfillment platform: a 1000'-tall underground warehouse for hydrogen.", "one_liner": "First commodity marketplace for hydrogen.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1647534399, "tags": [ "Energy Storage", "Hydrogen Energy", "Marketplace", "Climate", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "Industrials", "Energy" ], "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/phoenix-hydrogen", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/phoenix-hydrogen.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/72630957/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8301691eddf532285fe9add6d7c08ae5d764a72e.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": 17939, "full_name": "Shawn Drost", "title": "Founder", "founder_bio": "Shawn Drost is the co-founder and CEO at Phoenix Hydrogen. \nPreviously: Founder @ Hack Reactor\nOnce ran a marathon without training; big toe still clicks\nDad to two toddlers (!!)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/shawndrost/", "x_url": "https://twitter.com/shawndrost", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1faa257f101a58c305bbb64e82d0f47489aed028.jpg" }, { "user_id": 903332, "full_name": "Terence Vomocil", "title": "Founder", "founder_bio": "Building green hydrogen midstream infrastructure supported by underground storage, a digital trading platform and creation of regional hydrogen hubs.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/terence-v-a5916151/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ade0de0bf8b16b47124119b3dcddccaebace3175.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26801, "name": "Evoly", "slug": "evoly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.png", "website": "https://www.evolyenergy.com", "all_locations": "Remote, OR, USA; San Francisco, CA, USA; Lausanne, VD, Switzerland; Remote", "long_description": "Evoly makes smart electric & water meters. \r\n\r\nWe save a typical utility over $4M a year.\r\n\r\nElectric and water meter measure your consumption, A smart meter on the other hand not only measure it, it also send this consumption data and a lot more remotely and wirelessly to the utility. \r\n\r\nWe are a plug and play, easy to install, 5 times cheaper smart metering solution.\r\nWe are a B2B company and our customer are the Utilities \r\n\r\nThanks to our software they get 24/7 view on their grid and a wide range of possibilities :\r\n- Remote meter reading\r\n- Detecting fraud \r\n- Turning electricity on and off remotely \r\n- Time of use pricing ", "one_liner": "Smart electric & water meters as a service", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1656952444, "tags": [ "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "Switzerland", "America / Canada", "Europe", "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/evoly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/evoly.json", "year_founded": 2021, "city": "Remote", "country": "US", "linkedin_url": "https://www.linkedin.com/company/evolyenergy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.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": 589759, "full_name": "Hassan Lantry", "title": "Founder", "founder_bio": "evoly, McKinsey & Company", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hassan-lantry-008698108/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b1e0d4ba97134e9d63e92fe94af45ed959deb34.jpg" }, { "user_id": 595265, "full_name": "Sami El Bouari", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sami-el-bouari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7688a7c8e918bbce4f26fde33b36e2c1acb08b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64320, "title": "evoly — Smart metering as a service", "tagline": "Meet evoly, the only smart metering solution that's easy to deploy", "body": "**TL;DR**\n\nAt **evoly, we make smart meters for electric, water & waste use cases.** Our software helps utilities achieve better energy efficiency & lower costs.\n\nWe're already deployed in Europe & Africa and are looking to find new customers in America.\n\n**Problem**\n\nSmart metering has been around for years, but it has always been very expensive, hard to deploy and heavy on battery usage.\n\nDue to this, more than **65% of utilities in the world still have old gen meters** - they need to be read by a technician on a regular basis to bill you. A Smart meter is an instrumental part when building a smart grid and trying to push for energy efficiency and those challenges are becoming the main priorities as we try to build a greener planet.\n\nOn waste, we help collectors know the exact level of the bins in their city to optimize collection (less CO2 - less travels)\n\n**Solution**\n\nAt evoly we make smart meters easy to deploy. By developing our own hardware leveraging a unique transmission technology: LoRa we are able to offer an **easy to install, 5 times cheaper smart metering solution.**\n\nOur software then helps utilities get 24/7 view on their grid and a wide range of possibilities:\n\n\\- Remote meter reading\n\n\\- Detecting fraud\n\n\\- Turning electricity on and off remotely\n\n\\- Time of use pricing\n\n**Our Story**\n\nDuring the Covid lockdown, we experienced the limit of old gen meters, as technicians could not come and read them to bill every households.\n\nFeeling this pain for the first time ourselves, we tried to solve it in our hometown where we used to go to high school together, before realising that the problem was actually almost everywhere around the globe.\n\nToday we help 8 cities (Europe - North Africa) in this transition and are looking to find our first customers in the US.\n\n**How you can help**\n\n**If you know anyone in the utility space in any country that could find this relevant, please feel free to reach us at** [**founders@evolyenergy.com**](mailto:founders@evolyenergy.com)**. Thank you!**\n\n\\-- Hassan & Sami", "url": "https://www.ycombinator.com/launches/GjQ-evoly-smart-metering-as-a-service", "votes": 21, "created_at": "2022-07-05T11:22:22.097Z" } ] }, { "id": 26807, "name": "MaverickX", "slug": "maverickx", "former_names": [ "Maverick Bioworks", "Maverick BioMetals", "Maverick Metals" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "website": "https://www.MaverickX.com", "all_locations": "Austin, TX, USA", "long_description": "MaverickX is a chemical technology company advancing natural resource extraction. The company was founded by Eric Herrera, former Department of Defense scientist, and Jesse Evans, former startup operations manager. \r\n\r\nAs resources become more difficult to extract across the energy and mining sectors, new technologies are needed. MaverickX has a portfolio of chemical solutions -- PetroX and LithX -- to enhance recovery of oil from shale reservoirs and metals from low-grade ores. \r\n\r\nMore oil. More metal. Better chemistry.\r\n\r\n", "one_liner": "Engineering the future of chemistry for natural resource extraction", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1654465495, "tags": [ "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/maverickx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/maverickx.json", "year_founded": 2022, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maverickx-company", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [], "jobs": [], "news": [ { "title": "MaverickX Pleasanton Facility Reaches Capacity Milestone as PetroX Demand Grows", "url": "https://finance.yahoo.com/sectors/energy/articles/maverickx-pleasanton-facility-reaches-capacity-160100545.html", "date": "Apr 07, 2026" }, { "title": "30 Under 30 Energy & Green Tech 2026: Meet The Founders Recharging Our Energy Future", "url": "https://www.forbes.com/sites/christopherhelman/2025/12/02/30-under-30-energy--green-tech-2026-meet-the-founders-recharging-our-energy-future/", "date": "Dec 05, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" } ], "launches": [ { "id": 95571, "title": "MaverickX: Next-gen chemicals that break rock to unlock valuable natural resources", "tagline": "Now expanding into oil & gas— launching our PetroX product line.", "body": "Hey YC — we’re **Eric and Jesse**, co-founders of **MaverickX**.\n\nMaverickX makes next-generation chemicals that break rock to unlock valuable natural resources — oil and critical metals.\n\nWe started in mining. Now we’ve expanded into oil & gas, launching our PetroX™ product line with multiple major operators already under contract.\n\n![uploaded image](/media/?type=post&id=95571&key=user_uploads/89898/23215d7c-5b15-4672-9408-dadbc92688ad)\n\n**🔥 The Problem**\n\nAmerican energy production has a math problem:\n\n* Only 20% of the oil in unconventional shale wells is recovered – 80% of the oil is still underground\n* Operating costs are projected to rise 40% over the next decade, heading toward $95/BBL\n\nAnd nearly 10% of U.S. oilfield deaths each year are linked to exposure to toxic chemicals still used in daily operations\n\nIt’s one of the biggest “old-tech” sectors left untouched by modern science.\n\n**⚡ What We Built**\n\nMaverickX creates next-gen chemistry that actually removes iron, breaks scale and paraffin, liberates metals and more oil from shale. We reduce operating costs and keep production flowing.\n\nWith PetroX, operators are seeing:\n\n* dramatically cleaner systems\n* lower operating cost\n* reduced downtime\n* safer field operations\n* and the ability to liberate **50%+ more hydrocarbons** in certain shale environments\n\nOur chemistry increases shale porosity by up to 40x, allowing oil to move freely where it previously couldn’t. We aren’t just swapping chemicals — we’re rewriting the physics of the reservoir.\n\n**⛽ Why Oil & Gas?**\n\nOil is the backbone of our modern economy and demand is only projected to increase.\n\nMaverickX started in mining, building better chemistries to extract metals.\\\nThen the Department of Energy contracted us for a wild project:\n\n_“Turn old oil wells into mines. Extract the metals trapped inside.”_ We did it.\\\n\\\nAnd in that process, we discovered something bigger: Our chemistry didn’t just free metals, it freed hydrocarbons — a lot of them. The moment we saw that, we knew we had to expand into oil & gas. Today we operate in South Texas with production-scale manufacturing and contracts for PetroX™ across multiple operators.\n\n# **📣 Call to Action**\n\nIf you operate or know operators of wells, SWDs, or production facilities and want:\n\n* lower operating cost\n* fewer shutdowns\n* better flow\n* safer, non-toxic chemistry\n* or more oil out of the rock you already control\n\n**We want to run a pilot with you.**\n\n👉 Email us: [**founders@maverickx.com**](mailto:founders@maverickx.com)", "url": "https://www.ycombinator.com/launches/OrT-maverickx-next-gen-chemicals-that-break-rock-to-unlock-valuable-natural-resources", "votes": 9, "created_at": "2025-11-19T20:10:33.679Z" }, { "id": 64272, "title": "🔋 Maverick BioMetals extracts lithium with microbes!", "tagline": "We extract lithium better than traditional extraction tech for hard rock assets. ", "body": "TLDR; we use a custom microbe and enzyme to extract lithium from rock at low energy and high recovery rates while producing no waste. \n\nHi, we’re Eric and Jesse. We’re passionate about using biology to solve tough problems and reducing the environmental impact of industry (and saving our customers money along the way).\n\n---\n\n---\n\n### **The Problem**\n\n**Traditional lithium extraction is energy intensive, inefficient and produces tons of waste.**\n\n### **OUR SOLUTION: LITHx**\n\n**We’ve developed a synthetic enzyme that completely solubilizes hard rock ores and extract ALL the metals.** \n\nThis happens at low temperatures, so we don’t use much energy. \n\n### ", "url": "https://www.ycombinator.com/launches/Gie-maverick-biometals-extracts-lithium-with-microbes", "votes": 23, "created_at": "2022-07-01T18:31:29.103Z" } ] }, { "id": 28214, "name": "Atmeto", "slug": "atmeto", "former_names": [ "Keeling Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.png", "website": "https://www.atmeto.com", "all_locations": "Los Angeles, CA, USA", "long_description": "", "one_liner": "Building a frontier world model for power", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1674416288, "tags": [ "Machine Learning", "Climate", "Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/atmeto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/atmeto.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atmeto/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.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": 310129, "full_name": "Jack O'Grady", "title": "Founder", "founder_bio": "I build applied machine learning for energy systems. Currently building Atmeto, previously at Rivian building battery data science from the ground up, where I ultimately focused on reinforcement learning for battery optimization in the R1T/R1S.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackogrady/", "x_url": "https://mobile.twitter.com/jack_ogrady", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/044029ca7972f026b79274f3a4bf14405f53265e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68703, "title": "Keeling Labs: Applied AI for batteries in the grid", "tagline": "We help grid-scale battery operators adapt to changes in the grid with energy management software that automatically adjusts its behavior to maximize revenue", "body": "### **Meet the Team:**\n\nI’m [Jack](https://www.linkedin.com/in/jackogrady/), the founder of [Keeling Labs](https://www.keelinglabs.com/)! I started the company because I believe that batteries are crucial to enabling more renewable energy from solar and wind, and I wanted to bring applied AI to the table to help scale the deployment, efficiency, and performance of these assets.\n\nPrior to this, I worked on battery algorithms, data, and optimization for 3+ years at Rivian, where I started the company’s Battery Data Science Team and pioneered the application of Reinforcement Learning to fast charging in the R1T/R1S.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/7bf230b1-f162-4080-967d-104572029552)\n\n### **Let’s Talk About Grid-Scale Batteries…**\n\n**What’s Happening**\n\nThe U.S. is deploying batteries in the grid at an insane pace, but managing them is unlike any other power asset:\n\n* They don’t make their own power\n* They don’t have contracts for selling power at a fixed price\n\nBattery storage assets are constantly buying and selling power at dynamic prices, and doing that well or poorly leads to massive differences in project returns. With every new battery and renewable energy system added to the grid, though, the right thing to do shifts. Looking at planned battery additions across nearly every ISO, we can see that changes to grid dynamics will only be intensifying.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/2997b0e7-f7be-4efa-8f8a-4ab56d9462fd)\n\n**How Our Product Handles This**\n\nRather than rely on human experience or hard-coded instructions, we make AI that learns the best way to buy and sell power specific to each battery asset – all on its own. This type of AI is called Reinforcement Learning, and it’s a paradigm shift in how we optimize hardware systems. Our product builds on the founding team’s years of experience with RL-based battery controls and optimization in the EV space.\n\nYou can read more about our technology here: \n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/dd18161f-2f67-49d8-8f32-0f4cbc2b3cc8)\n\n### **One ask**\n\nWe’re looking for tech-forward industry partners to work with us as we develop an amazing product. If you have connections to the following groups, we’d love the introductions!\n\n* asset managers / battery owners\n* utilities\n\nFeel free to send me a DM on LinkedIn to get in touch: \n\n### **Quick Links:**\n\nWebsite: [https://www.keelinglabs.com](https://www.keelinglabs.com/)\n\nContact Us: \n\nJoin Our Team: ", "url": "https://www.ycombinator.com/launches/Hs7-keeling-labs-applied-ai-for-batteries-in-the-grid", "votes": 27, "created_at": "2023-01-25T16:33:06.343Z" } ] }, { "id": 28745, "name": "Nectar", "slug": "nectar", "former_names": [ "Pairly Climate", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.png", "website": "https://nectarclimate.com", "all_locations": "San Francisco, CA, USA", "long_description": "Nectar is the modern AI energy management platform. We automate utility data analysis to optimize energy costs, manage buildings, and report energy efficiency metrics for energy and sustainability teams. Our utility data API uses in-house AI agents to deliver the most accurate granular usage and cost data on the market.", "one_liner": "Manage energy cost & usage with AI for facility & sustainability teams", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1688762834, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/nectar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nectar.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nectarclimate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.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": 518312, "full_name": "Allen Wang", "title": "Founder", "founder_bio": "Allen studied CS & EE and Math at MIT. Before founding Nectar with Katherine, he worked at Scale AI and Google. Talk to Allen about climate, math, or card magic.", "is_active": true, "linkedin_url": "https://linkedin.com/in/allenwang314", "x_url": "https://twitter.com/AllenWang314", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e0c49b46c9b76c69f64f4aa710de5fc3ab319d2.jpg" }, { "user_id": 672812, "full_name": "Katherine He", "title": "Founder", "founder_bio": "Katherine studied computer science and business management at MIT. Previously she's worked at Two Sigma building financial pipelines that move millions of dollars daily. She holds a US record in poetry memorization.", "is_active": true, "linkedin_url": "https://linkedin.com/in/katherine-he", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb198326c4987ca23dabdb5d1ea4048300d71f70.jpg" } ], "jobs": [ { "id": 97708, "title": "Sales Development Representative (SDR) (Contract to Hire)", "url": "https://www.ycombinator.com/companies/nectar/jobs/V0LHrvP-sales-development-representative-sdr-contract-to-hire", "location": "San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Sales", "role_type": null, "salary_range": "$65K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 29444, "name": "Vista Power", "slug": "vista-power", "former_names": [ "Vista Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.png", "website": "https://vistapower.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vista designs, finances, installs, and manages energy storage and solar at commercial, industrial, and multifamily properties for $0 upfront, helping businesses save up to 30% on their energy bills. The founding team previously worked at SpaceX, Rocket Lab, NASA and Firefly.", "one_liner": "Batteries and solar for $0 upfront to help businesses save money", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1706595297, "tags": [ "Energy Storage", "B2B", "Sustainability", "Manufacturing", "Renewable Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/vista-power", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/vista-power.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/vista-power", "x_url": "https://twitter.com/vista_power", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.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": 293472, "full_name": "Maxim Kraft", "title": "Founder/CEO", "founder_bio": "I care deeply about space, sustainability, and using economics and engineering to build a future worth living in for all humankind. In 2023, I co-founded Vista Power (fka. Vista Space) to help businesses use clean energy to save money on energy bills for $0 upfront. Previously, I worked on profit improvement at Starlink, built supply chain analytics tooling at Rocket Lab, and ran a software startup called Tour (acquired), which I co-founded in high school.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximkraft", "x_url": "https://twitter.com/2001kraft", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd4c7e3020f5390eae55ee60de1b4dc3091258c6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79713, "title": "Vista Space: Structural batteries for high performance spacecraft", "tagline": "Our batteries let spacecraft have 2x the energy capacity or save 15-30% in volume", "body": "### **TL;DR**\n\n**About Us** \\\n[Vista Space](https://govista.space/) builds Tesla-inspired structural batteries to increase satellites’ energy capacity without increasing their size. The founders worked at SpaceX, Rocket Lab, and NASA. \n\n**The Ask** \\\nIf you or anyone you know are building spacecraft or any other products that could benefit from structural batteries, we should talk! Please reach out or send referrals our way to [sales@govista.space](mailto:sales@govista.space) or our website at . \n\n—\n\nHey all, we’re [Vista Space](https://govista.space/), co-founded by [Maxim Kraft](https://linkedin.com/in/maximkraft), [Petar Matejic](https://linkedin.com/in/petar-matejic), and [Chaitanya Kore](https://www.linkedin.com/in/ckore/). Our mission is to power the next generation of space exploration. \n\n### **Problem**\n\nPower is a fundamental constraint for space mission design, as everything operating in space requires electricity. Today's spacecraft power systems are not capable enough to support both the current and next-generation mission concepts, leading satellite manufacturers to painful trade-offs: **limiting additional hardware** or **increasing system size** to get more power. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/5a1ec437-b4ee-4544-b3ad-5082e2be92c3)\n\nWith reduced capabilities, companies lose their technological advantage. With increased size, manufacturing costs are higher, risk of schedule delays is greater, and go-to-market is slower due to fewer spacecraft launches. **These trade-offs are fundamental limitations** of spacecraft design and space economics. \n\nWhile space-rated solar panels are thin, efficient, and can be foldable, **batteries take up significant useful volume** (up to 30% in small spacecraft) **and are vastly less capable** than the latest terrestrial equivalents.  \n\n### **Solution**\n\nTraditional spacecraft walls are purely structural, serving little functional purpose after launch while occupying valuable space. \n\nOur **Voltaris 1** module replaces these walls, providing **structural support and energy storage simultaneously**. This allows satellite manufacturers to **double their energy capacity** without increasing size or **gain 15-30% more useful volume** at the same power budget. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/a51852a8-0dfc-46a5-a2bf-049c29a42d7e)\n\n**Key Features:** \n\n* **Inspired by structural batteries in EVs** like the Tesla Model Y and Cybertruck \n* **Plug and play with any chassis size**, bolting onto the chassis in place of aluminum walls \n* **Compatible with third-party electrical & power system** (EPS) modules inside \n* CubeSat modules **include a solar cell**, and all form factors have the electrical components & thermal protection systems to **work out of the box** \n* **Additional radiation protection** for the contents inside the chassis \n* Launching **to space in February 2025** \n* Targeting **pricing to be middle of the market** for space batteries\n\n \n\n### **About Us**\n\nMaxim & Petar met at SpaceX, working on Starlink and Starship, respectively, and bonded over discussing opportunities for satellite design improvements. Maxim met Chaitanya at a conference for rising NewSpace leaders and stayed in touch since. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/89898/1b0414fe-b273-4da1-b4fb-2265113278ca)\n\nMaxim: Berkeley alum (Economics & Physics). Former SpaceX, Rocket Lab. Taught a course on space economy and entrepreneurship during undergrad. \n\nPetar: Former SpaceX, NASA, Firefly, The Boring Company. Co-founded UNLV's student satellite team. \n\nChaitanya: Founded Space Force Association Great Lakes chapter. Helped secure a multi-billion-dollar battery gigafactory in Illinois.  \n\n### **The Ask**\n\n* Please share this post with your network, even outside the space industry! \n* If we’re building something you need, please reach out or send referrals to [sales@govista.space](mailto:founders@govista.space) or our website .\n* Leave an upvote!\n\n \n\n**Early adopter benefits:** Anyone who places a Pre-order gets personalized technical review sessions and priority delivery of the first production units. \n\nThanks all! Let us know what you think. ", "url": "https://www.ycombinator.com/launches/Kjh-vista-space-structural-batteries-for-high-performance-spacecraft", "votes": 43, "created_at": "2024-03-26T17:00:54.840Z" } ] }, { "id": 29667, "name": "Rewbi", "slug": "rewbi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "website": "https://www.rewbi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "A stealth mode startup.", "one_liner": "A stealth mode startup.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1724874761, "tags": [ "B2B", "Energy", "Renewable Energy", "Cloud Computing", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/rewbi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rewbi.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rewbi", "x_url": "https://x.com/rewbienergy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.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": 600101, "full_name": "Thomas Marge", "title": "Founder/CEO", "founder_bio": "Thomas is co-founder and CEO of Rewbi, which uses AI to optimize grid-connected battery storage. He previously founded inBalance, a YC W21 company, which was acquired by Stem (NYSE: STEM) in January of 2023. He led battery storage optimization and forecasting for Stem. He completed part of a Pure Mathematics PhD at University of Cambridge, which he left to build inBalance. He holds a Masters in Applied Mathematics and B.S.E. in Pure and Applied Mathematics from Johns Hopkins, graduating early.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-marge", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e928aa8f09dd229ceedcffa08968ba2649d89e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83622, "title": "Rewbi - Using AI to optimize grid-connected battery storage", "tagline": "Rewbi more than doubles grid-connected battery storage revenue.", "body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/0f214291-26b7-4259-a61d-55904a9d8616)\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/503ce453-7532-40ea-b307-9e0f0c5827b3)\n\n", "url": "https://www.ycombinator.com/launches/Lkk-rewbi-using-ai-to-optimize-grid-connected-battery-storage", "votes": 26, "created_at": "2024-08-30T16:53:42.510Z" } ] }, { "id": 29803, "name": "Ionworks", "slug": "ionworks", "former_names": [ "Ionworks Technologies Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d19f43559a7c58d6263bc07ad06e83fd4ad1f0a.png", "website": "https://ionworks.com/", "all_locations": "Remote", "long_description": "Every battery company spends tens of millions of dollars a year on experiments. Simulations that replace experiments reduce these costs but are currently underutilized in industry because they are hard to create and run. We make simulations accessible to every engineer, by helping them to create models from their own data, then run large scale simulations in the cloud to explore the full design space.", "one_liner": "Simulation software used by leading battery and automotive companies", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1721785352, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/ionworks", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ionworks.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/ionworks-technologies/", "x_url": "https://x.com/ionworks_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d19f43559a7c58d6263bc07ad06e83fd4ad1f0a.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": 1162906, "full_name": "Valentin Sulzer", "title": "Founder/CEO", "founder_bio": "Created PyBaMM, the world's leading open-source battery simulation software. Now building Ionworks to make it accessible to every single battery engineer around the world. Previously PhD (Maths) at Oxford + 4 years engineering research at University of Michigan and Carnegie Mellon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/valentinsulzer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9adfbe113b899a61410d2cb6a8fd0ae001fe4c2.jpg" }, { "user_id": 1931768, "full_name": "Rob Timms", "title": "Founder", "founder_bio": "Co-Founder and CTO at Ionworks, building the modern software stack for batteries, powered by PyBaMM. Core developer of the leading open-source battery modelling package PyBaMM. Ex-Oxford mathematician. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertwtimms/", "x_url": "https://twitter.com/robertwtimms", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e2678fd548a911437faf13c76ee1801bc36d0b6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82425, "title": "Ionworks - Build and run battery simulations at scale", "tagline": "Digitize your battery experiments to accelerate R&D.", "body": "We provide battery-simulation-as-a-service to help battery engineers accelerate their battery design cycles by replacing experiments with simulations. We’re building this on top of [**PyBaMM,**](https://github.com/pybamm-team/PyBaMM) the world’s leading open-source battery modeling software, which was created by our team and is now used by most battery engineering teams around the world.\n\n**Our ask:** If you are a battery engineer or know one, reach out to [**info@ionworks.com**](mailto:info@ionworks.com) for a demo\n\n**Meet the team**\n\nWe ([**Valentin**](https://www.linkedin.com/in/valentinsulzer/), [**Rob**](https://www.linkedin.com/in/robertwtimms/), [**Tom**](https://www.linkedin.com/in/tom-tranter-355a1033/)) have PhDs in Maths/Chemical Engineering from Oxford/East Anglia/Leeds & UCL, and a collective 20 years of experience working on physics-based battery simulations. As academics, we were frustrated by the scientific reproducibility crisis, so we created an open-source project to share our research and hold ourselves accountable. This turned out to be something people wanted, and PyBaMM has now grown to become the leading open-source battery simulation package used by engineers in battery companies and academic labs around the world. We’re now building Ionworks to scale up this success and bring the power of digital design to every single battery engineer.\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/8c9248b2-33cb-4cd1-a577-f564bb1f0ce6)\n\n**The Need**\n\nBatteries are a crucial technology underpinning the electrification of every application ranging from EVs to grid storage. This makes the battery market worth _$150b today (1.5% of global GDP)_, with projected growth to $680b in 10 years (4% of projected global GDP). However, batteries still need to improve massively to meet a difficult set of demands: **higher energy and power density, faster charge times, lower cost, longer lifetimes, and better safety.**\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/ba1d3286-9e94-4cf5-a24a-8f886d18dbdd)\n\n**Why designing better batteries is difficult**\n\nBatteries come in all shapes and sizes, with complex and nonlinear effects of design inputs on performance outputs. As a result, battery engineering teams build and test thousands of physical prototypes to find the optimal design for their application. This is an expensive and time-consuming process (up to $1000 and 2 years for each individual test), which leads to **$100m/5 year battery development cycles**. This makes batteries the bottleneck in many product development cycles, such as new laptops and electric cars.\n\n**The Solution**\n\nWe’re doing for batteries what CFD (computational fluid dynamics) did for aerodynamics and CAD (computer-aided design) did for structural and electrical engineering: **move the design problem into the digital world**. Generic engineering software already exists but requires specialist knowledge and decades of experience to build battery-specific models. We’re building software that makes this process available to any battery engineer. Our solution is built for the cloud, providing the interfaces and cost models to do this at scale.\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/00b0d1e5-e12b-4f4d-9eb7-a3e7d9deb650)\n\n**How it works**\n\nWe move battery design into the digital world using the following process:\n\n1. Collect a small amount of experimental data\n2. Parameterize (i.e. train) the physics-based model to find the parameter values that best match the experimental data\n3. Use the generated parameters to virtually explore the entire space of designs and operating conditions\n4. Pick the best candidates from the virtual experiments and test those in the physical world to validate the simulation results\n\nThe underlying physics-based models are old-school partial differential equations that describe the chemical reactions, lithium transport, and heat exchange happening inside a battery. These models generalize well from their training data, which allows us to build accurate models from small amounts of data. **Our secret sauce is that we’ve built software that makes steps 2 and 3 fast and robust.**\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/8cd0cdec-18b1-4468-87fe-245207c3aad3)\n\n**Ask**\n\n* If you are a battery engineer or know one, reach out to [**info@ionworks.com**](mailto:info@ionworks.com) for a demo\n* Submit a [**PyBaMM Testimonial**](https://forms.gle/mZnbRFWFQdj48RFT6) for a chance to win some [swag](https://numfocus.myspreadshop.com/pybamm+logo-A65835f9218539517e7310303?productType=812&sellable=xr4nBeRpbRhJJX4enQn7-812-7)\n* Star [**PyBaMM on GitHub**](https://github.com/pybamm-team/PyBaMM)", "url": "https://www.ycombinator.com/launches/LRR-ionworks-build-and-run-battery-simulations-at-scale", "votes": 46, "created_at": "2024-07-24T20:31:12.823Z" } ] }, { "id": 30202, "name": "Astro", "slug": "astro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.png", "website": "https://www.astroenergy.ai/", "all_locations": "New York City, NY, USA", "long_description": "Astro develops power-ready land for AI data centers. Power is now the bottleneck for new data centers, and Astro’s models find the sites that have it. Founder Alex Fuster traded grid congestion at Citadel across US power markets, predicting where the grid would run out of room.", "one_liner": "Power-ready land for AI data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739813505, "tags": [ "Solar Power", "Energy", "Renewable Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/astro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/astro.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/astro-energy-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.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": 2392441, "full_name": "Alex Fuster", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Astro. Traded grid congestion at Citadel. Stanford BS in physics and MS in computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-f-573560101/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f727d7a0d23b22ac364221ad69d6a33eda2ece67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87853, "title": "Astro: The world’s first AI energy developer", "tagline": "We use AI to de-risk early development, creating ready-to-build renewable energy projects", "body": "Astro uses AI to find and buy land for new renewable energy projects, secure agreements to connect them to the power grid at minimal costs, and then sell these development-ready projects to larger energy companies.\n\n**The Problem**\\\nThe renewable energy transition faces a critical bottleneck: the US needs to add 2,000 gigawatts of new power generation by 2035 to support growing electricity demand from AI data centers and electrification.  Building these new power plants requires finding suitable land and connecting them to the grid - but this is where projects fail. Most potential locations are unprofitable because developers discover too late that they need to spend millions upgrading power lines and infrastructure for grid connection. Traditional energy developers spend months evaluating single locations, only to have projects die when they discover these hidden costs.\n\n**The Solution**\\\nAstro’s proprietary AI models predict these grid connection costs upfront, enabling it to buy the most profitable land before costs increase. Astro’s models handle all the early development work - from finding the right location to securing grid connection agreements - creating a pipeline of development-ready projects that larger energy companies can immediately start building.\n\n**Backstory**\\\nI’m Alex, I studied physics + computer science at Stanford and was an energy trader at Citadel. While trading energy markets, I discovered that power grid congestion patterns are highly predictable - but developers aren’t using this data. This insight led me to build models that identify the best land to buy and prepare for larger developers to build on.\n\n**Ask**\\\nWe’re looking to connect with:\n\n* Energy companies interested in buying development-ready projects (land secured + grid connection approved)\n* Landowners and brokers near major transmission lines in central Illinois\n* Power systems engineers with interconnection study experience\n\nIf you’re interested in accelerating the clean energy transition or have expertise in any of these areas, I’d love to chat! You can reach me at [alex@astroenergy.ai](mailto:alex@astroenergy.ai)\n\n![uploaded image](/media/?type=post&id=87853&key=user_uploads/89898/f2583845-46e4-471f-8932-1fbc09d4e105)\n\n", "url": "https://www.ycombinator.com/launches/Mqz-astro-the-world-s-first-ai-energy-developer", "votes": 37, "created_at": "2025-02-20T17:18:28.843Z" } ] }, { "id": 30224, "name": "Maritime Fusion", "slug": "maritime-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "website": "https://maritimefusion.com", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime Fusion is building fusion reactors for ships and off grid energy markets. En route on this endeavor we’re commercializing High Temperature Superconducting (HTS) cable technology for power distribution while advancing the physics basis of our HTS tokamak to decarbonize global shipping. \r\n\r\nBreakeven fusion is coming soon, but the first-of-a-kind (FOAK) reactors will be costly, high maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Maritime Fusion is pursuing the most widely accepted approach to fusion, the tokamak, but specifically designed for the marine environment where the challenges that arise between breakeven and a commercially viable energy source are alleviated. The market we're targeting requires 15x less power, lower up-time, and costs the same as alternative fuels but without any emissions. Since fusion does not use highly radioactive fuels or materials – unlike fission – we sidestep the vast majority of regulatory challenges and safety risks associated with nuclear energy. Our team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania.", "one_liner": "Fusion reactors for ships", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739572830, "tags": [ "Fusion Energy", "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/maritime-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/maritime-fusion.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maritime-fusion", "x_url": "https://x.com/maritimefusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2336806, "full_name": "Justin Cohen", "title": "Founder/CEO", "founder_bio": "Nuclear engineer and plasma physicist working on fusion reactors for defense and commercial shipping applications. Previously Tesla, SpaceX, Columbia University, Princeton Plasma Physics Laboratory, NC State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin-cohen707", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c63b262e560db673d53a59a25f5d906a3b7acaef.jpg" }, { "user_id": 2364454, "full_name": "Jason Kaufmann", "title": "Founder/CTO", "founder_bio": "I'm a hardware engineer with a passion for building cool electronics and systems. With a background in physics and computer engineering from Penn, I've worked on everything from AI hardware at Tesla to power systems for rockets at SpaceX. Currently focused on making a fusion reactor for ships.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonskaufmann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de5bd445a30e5ded336464f26afb4873ba9b1435.jpg" } ], "jobs": [ { "id": 75503, "title": " Member of Technical Staff - R&D Engineering", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/jF7a5Wc-member-of-technical-staff-r-d-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 75505, "title": "Member of Technical Staff - Plasma Physics", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/sX8ipt6-member-of-technical-staff-plasma-physics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Laboratory", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 85661, "title": "R&D Technician", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/vbJGLSZ-r-d-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 85662, "title": "Business Development & Strategic Partnerships Lead", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/fpZ2pbI-business-development-strategic-partnerships-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup wants to build a fusion reactor — on a boat | TechCrunch", "url": "https://techcrunch.com/2025/11/24/this-startup-wants-to-build-a-fusion-reactor-on-a-boat/", "date": "Nov 24, 2025" } ], "launches": [ { "id": 87909, "title": "Maritime Fusion - Fusion reactors for ships", "tagline": "The application where first generation fusion reactors can thrive", "body": "[We are building the first fusion reactors for marine applications](https://www.youtube.com/watch?v=5ThTnDoKzLU)\n\n**The Problem**\\\nBreakeven fusion is on the horizon, but first-of-a-kind (FOAK) reactors will be expensive, high-maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Additionally, these reactors face significant physics challenges for steady-state operation, such as managing first wall heat flux and mitigating nuclear activation of structural components that require novel materials to solve.\n\n**The Solution**\\\nWe are leveraging the most proven approach to fusion energy, the HTS tokamak, but designed specifically for maritime applications. This reactor bridges the gap between achieving breakeven fusion and commercial viability. Our target market, commercial shipping vessels, require 15x less power and lower uptime compared to traditional grid reactors all while matching the cost of alternative bunker fuels—without any emissions. Operating at reduced power densities also alleviates many of the materials hurdles, paving the way for a more robust and reliable technology in the near term. We’re also leveraging the same reactor to meet the Department of Defense’s need for mobile power plants via Ship-to-Shore power.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/28482a6e-e905-4e36-9aad-41bd64336dff)\n\n**Who We Are**\\\nOur team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania. We first met at SpaceX while conducting radiation tests for Starship electronics, and later worked together at Tesla on Cybertruck and Optimus.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/3b3e4061-2aff-4cb0-a183-5755dc8fae50)\n\n**How the YC Community Can Help**\\\nWe’re in process of making inroads to the Department of Defense, Navy, DARPA, and Department of Energy, as well as connections to the commercial shipping industry, if you know anyone we should speak with please reach out!\\\n[maritimefusion.com](http://maritimefusion.com)\\\n[founders@maritimefusion.com](mailto:founders@maritimefusion.com)", "url": "https://www.ycombinator.com/launches/Mrt-maritime-fusion-fusion-reactors-for-ships", "votes": 28, "created_at": "2025-02-21T20:38:05.707Z" } ] }, { "id": 30502, "name": "NODI Energy", "slug": "nodi-energy", "former_names": [ "PowerMatrix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.png", "website": "https://www.nodienergy.com", "all_locations": "London, England, United Kingdom", "long_description": "NODI Energy is building distributed energy infrastructure to rewire the grid. \r\n\r\nWe deploy and aggregate batteries at the edge and orchestrate them as distributed nodes, providing locational flexibility to the rigid grid — relieving congestion and unlocking capacity at constrained locations, so data centers can connect in weeks instead of waiting decades for reinforcement.", "one_liner": "Distributed energy infrastructure unlocking grid power to data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1748546232, "tags": [ "Energy Storage", "Hard Tech", "Hardware", "Energy", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nodi-energy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nodi-energy.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/pwrmx", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.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": 2116203, "full_name": "Borong Hu", "title": "Founder/CEO", "founder_bio": "I have been working on power electronics for over ten years and have extensive experience in R&D, manufacturing, and business in electronics engineering area.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boronghu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9eaf5c1c126122c529977520f01fba9c208a2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110609, "title": "NODI Energy - Distributed Energy Infrastructure to Rewire the Grid", "tagline": "Making the grid flexible to unlock GW power, enabling on-grid interconnection for data centers", "body": "Hi everyone 👋! We're [Borong](https://uk.linkedin.com/in/boronghu) and [Catherine](https://www.linkedin.com/in/cathjeong/), co-founders of NODI Energy!\n\n**TL; DR:**\n\nNODI is building distributed energy infrastructure to rewire the grid. We are deploying and aggregating batteries at the edge. All these distributed nodes are orchestrated to make the existing rigid grid more flexible, reducing grid congestion and unlocking more capacity at specific constrained locations. So data centers can get **_on-grid_** connection in weeks instead of waiting on grid reinforcement for decades. ⚡ ️ **Gigawatts unlockable on the way!**\n\nLaunch video: \n\n### **Problem**\n\nThe existing power grid was built for the fossil-fuel era, not for tomorrow’s economy. It’s too rigid to deliver power to the right place at the right time.\n\n* 2,000 GW of projects, including data centers, sit stalled in grid connection queues, waiting up to 15 years.\n* 200 TWh of renewable energy was curtailed last year, with several countries dumping over 20% of their generation.\n* Over 1,000 GW of capacity could potentially be unlocked from the existing network, only if the grid is flexible enough.\n\n### **Solution**\n\nWe are building a vertically integrated engine to create a flexible grid. Three layers: \n\n* **Hardware:** originating from the edge, we deploy our own plug-in batteries and aggregate energy assets from third parties.\n* **Software:** orchestrating and operating as these distributed nodes to enable real-time locational flexibility in the grid.\n* **Intelligence:** modeling the grid from edge data, reducing grid congestion, and delivering capacity at the right time and place.\n\n### **It’s giving main character energy**🌟\n\nResults in 6 months:\n\n* 2,000 plug-in batteries on the way, per month!\n* Onboarding >1 GW of batteries in 2026.\n* Secured a pipeline to aggregate 10 GW of assets in 2027.\n* Soon to be one of the largest multinational VPPs.\n\n### **Team**\n\nBorong Hu, PhD in power electronics from Warwick and postdoc at Cambridge University, with 60+ papers, IEEE awards, and government grant funding. Built power conversion systems for AI data centers and one of the world's largest offshore wind turbines. Led R&D collaborations with world-leading industrial partners.\n\nCatherine Jeong, Second-time industrial tech founder with a decade of experience across energy, climate investment, and policy. Holds a BA in Political Science from Brown University and an MSc in Climate Innovation from London School of Economics. Former NCAA Division I fencer, now taking a stab at the grid.\n\n\\\n**Ask**\n\n* **Project developers,** stuck in a connection queue in US, GB, Netherlands, Germany, and Ireland, looking for a demand-side answer. Tell us what a year of delay costs you.\n* **Network operators,** who want to know LV visibility and constraints.\n* **Utilities and energy suppliers,** who need predictable behind-the-meter capacity they can count on\n* **Households and small businesses in urban areas who** think electricity bills are too expensive. \n* Hiring ambitious talent to join the Power Team. \n* Intros to any of the above.\n\nContact: info@nodienergy.com\n\n![uploaded image](/media/?type=post&id=110609&key=user_uploads/2116203/c3942998-0111-4265-9f36-cd3da7b0ba75)\n\n", "url": "https://www.ycombinator.com/launches/Sm1-nodi-energy-distributed-energy-infrastructure-to-rewire-the-grid", "votes": 8, "created_at": "2026-08-14T22:20:32.941Z" }, { "id": 90889, "title": "PowerMatrix: Efficient and Compact Power Supply for AI Hardware", "tagline": "Efficient and compact power supply for GPU and data centers to save 50% energy", "body": "**TL;DR**\n\nPowerMatrix delivers highly efficient and compact power supplies for cutting-edge applications—from GPUs and data centers to drones, EVs, and aerospace. Based on proprietary technologies, our power supply systems can reduce energy loss by up to 50%. We’ve built working prototypes and are piloting with world-leading partners.\n\n# **The Problem**\n\nAI computing heavily relies on data centers where every watt of electricity is processed and converted by multiple stages of power supplies—from the power grid to processors.\n\nCurrently power supply solutions face significant challenges:\n\n* **Inefficiency:** Data centers consume 5% - 10% of global electricity, while 20% of that (100TWh) is wasted on power supplies.\n* **Size Constraints:** Power supply is given very limited space in server trays and on GPU board surface but required to provide much higher power.\n* **Performance Gaps:** It is required to provide a voltage conversion ratio over 100 and provide 1A/ns dynamics for robust operation of future advanced AI computing processors.\n\n# Our Solution\n\nBased on proprietary technologies, we provide the reverlutionary **single-stage vertical power delivery solution:**\n\n* **Single Stage:** directly convert high voltage to <1V low voltage, eliminating inefficiencies multiple stage power conversion chains.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/943302c9-5ff6-4189-8cd3-47d80cd3b6d0)\n\n* **Vertical Power Delivery:** minimize power transfer loop, locating directly underneath computing chips.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a4ce171d-72bb-4bfe-b640-23d7eb2db1d6)\n\n\nResults vs. incumbents:\n\n* **80%** smaller form factor\n* **50%** less energy wasted\n* **10×** faster dynamic response\n\nDeploying our modules can save customers **$10 B** annually, cut **30 TWh** of electricity waste, and avoid **100 Mt** of CO₂ emissions each year.\n\n# Team\n\nWe have more than ten years of experience in power electronics and are dedicated to solve the most challenging tasks in this area.\n\nBorong did a Postdoc at the University of Cambridge and got his PhD in power electronics from the University of Warwick. He has extensive experience in research: he published 60 papers that got 650 citations and received the IEEE ECCE William Portnoy Award. He also worked on a power converter for the largest wind turbine at GE, and led a team at Bitmain, a bitcoin miner, to develop a new power supply.\n\nXufu got his PhD in power electronics from the University of Cambridge. He received the Semikron Danfoss Young Engineer Award in 2025, the Trinity Bradfield Prize Award in 2025, and First Place Award of the IEEE ECCE Best Student Project Demonstration in 2023. He also published 15 papers on power electronics that have 41 citations.\n\n# Our Ask\n\nIf you’re building AI hardware, data-center infrastructure, or next-gen power-electronics, let’s connect! [info@pwrmatrix.com](mailto:info@pwrmatrix.com)\n\n![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a8103e69-94a4-451c-9bbd-7f740349c937)\n\n", "url": "https://www.ycombinator.com/launches/Ndx-powermatrix-efficient-and-compact-power-supply-for-ai-hardware", "votes": 20, "created_at": "2025-05-30T19:03:39.513Z" } ] }, { "id": 31021, "name": "Zephyr Fusion", "slug": "zephyr-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.png", "website": "https://www.zephyrfusion.com", "all_locations": "San Diego, CA, USA", "long_description": "Zephyr Fusion is building the first in-orbit fusion power source: a megawatt-class reactor enabling large-scale industry in space, at a fraction of the cost of equivalent solar.\r\n\r\nFounded by former physicists from Lawrence Livermore and Oak Ridge National Laboratories, Zephyr leverages decades of fusion research to deliver a compact magnetic confinement system designed to take advantage of the space environment.", "one_liner": "Powering tomorrow's industrial revolution in space", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1762532179, "tags": [ "Fusion Energy", "Hard Tech", "Satellites", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/zephyr-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zephyr-fusion.json", "year_founded": 2025, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zephyr-fusion", "x_url": "https://x.com/Zephyr_Fusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.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": 2842889, "full_name": "Edward Hinson", "title": "Founder", "founder_bio": "Cofounder of Zephyr Fusion, an in-orbit fusion power company. 20+ years in mathematical modeling and experimental plasma physics. Former scientist at Oak Ridge National Lab and UW-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-hinson-078b15143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d140c01f06bf0f6bd2775b56bbb6dd17665d759.jpg" }, { "user_id": 2938721, "full_name": "Galen Burke", "title": "Founder", "founder_bio": "Co-founder of Zephyr fusion, an in-orbit fusion power company. 15+ years in cutting edge diagnostics and plasma physics. Former scientist at Lawrence Livermore National Laboratory and the University of Wisconsin-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/galen-burke-78923317/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98c843bf90dac8ffc44e771edb2b7073905edb05.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95415, "title": "Zephyr Fusion: In-orbit fusion power", "tagline": "Powering tomorrow's industrial revolution in space", "body": "**TL;DR: Most satellites are limited to kilowatt-scale solar power, constraining high-power applications in orbit. The unlimited vacuum in space allows a dipole magnetic confinement device to form the large plasma confinement regions fusion requires without bulky reactor hardware. With HTS magnets and declining launch costs, compact megawatt-class fusion in orbit is now within reach, unlocking an industrial space economy.**\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/f0f7e94a-1ebe-4b6d-8d0e-b4fa8aad7051)\n\n**Who We Are**\n\nHi everyone! We’re Dr. Galen Burke and Dr. Edward Hinson, founders of Zephyr Fusion. After years working on some of the hardest problems in fusion energy at Oak Ridge and Lawrence Livermore National Labs, we realized something fundamental: fusion actually gets easier in space.\n\nWe’ve been friends and collaborators since 2010 in grad school at the University of Wisconsin-Madison, where we operated a spherical tokamak. We subsequently continued research at premier fusion research facilities, like the W7-X stellarator in Greifswald and the premier US tokamak, the DIII-D National Fusion Facility in San Diego, as employees of US DOE National Labs. Between us, we’ve accumulated 35+ years of experimental fusion research experience, publishing in _Physical Review Letters_, _Nuclear Fusion_, and _Physics of Plasmas_, and others.\n\n**Launching Zephyr Fusion**\n\n“Fusion in space” sounds ambitious - and it is - but it is grounded in well-established physics and enabled by new economics. Zephyr Fusion exists because the physics and economics now align: high-temperature superconductors and drastically reduced launch costs make it possible to build compact, megawatt-class orbital fusion power. We’re here to bring real power to the space economy.\n\nOur goal is simple: Provide megawatt-class power in orbit.\n\nThe space economy is fundamentally power-limited. Most satellites operate on the power equivalent of a toaster or two. While the Sun provides about 1 kW/m², scaling solar beyond \\~10 kW rapidly becomes mass- and cost-prohibitive. For example, the ISS’s new 120 kW roll-out arrays cost roughly $100M, or about $1B/MW installed. Advancing beyond this power limit would catalyze a new economy: large-scale industrial activity, data centers, high-power electrical propulsion, large human habitats, and more.\n\n**Why Space Makes Fusion Easier**\n\nThe performance of magnetic fusion devices scales with the size of the plasma, specifically the magnetized vacuum volume they occupy. Magnetized vacuum is in fact the most essential resource for fusion plasmas. The performance improvement is quantified with “energy confinement time,” τₑ, roughly how long energy stays in the plasma. For tokamaks, global experiments have shown roughly:\n\nτₑ \\~ R²\n\nwhere R is the device radius. Fusion gets easier when the plasma is big.\n\nOn Earth, increasing plasma size forces the entire reactor to scale up with it, driving cost - which is why ITER - the world’s largest tokamak - has a \\~6m plasma radius and a \\~$65B price tag ([DOE 2018](https://www.govinfo.gov/content/pkg/CHRG-115shrg19104909/pdf/CHRG-115shrg19104909.pdf)). It is a research project, but ball-parking ITER as a 100MWe reactor, the expense amounts to $0.65B/MW - notably still less than what is being paid now for large-scale space solar, but a long way from commercial viability in the competitive commodity market back on Earth. The physics imperative for larger plasmas leads to devices that are larger still.\n\nBut in space, the link between hardware size and plasma size can be broken.\n\nA dipole magnetic field (which may be familiar from planetary magnetospheres), allows the plasma to form a large, self-organized region enclosing a single coil, extending into the external vacuum. In space, the outer boundary is not a physical wall but free vacuum. This “inside-out” configuration removes the dominant energy loss channel in terrestrial devices and allows for very large effective magnetized vacuum volumes with minimized hardware footprint. Furthermore, scalings obtained from the physics of magnetospheric dipoles appear to hold in dipole reactors as well ([LDX Nature Physics 2010](https://www.nature.com/articles/nphys1510)), implying that fusion power in a dipole reactor grows extremely strongly with radius.\n\nIn other words:\n\nA meter-scale dipole coil in orbit, that can be built today, can produce a magnetized volume exceeding that of ITER, at a tiny fraction of the mass and cost, and ITER-scale confinement may be accessible with hardware that fits on a SpaceX Falcon 9 launch vehicle.\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/b30c091c-ecb7-4b4d-9998-f738a5d5352c)\n\nDipole fusion reactors in space have been proposed before, notably by [Edward Teller](https://www.tandfonline.com/doi/abs/10.13182/FST92-A30057), but have only become practical now because:\n\n• Launch costs have dropped by \\~10x in the last decade.\n\n• Mass-produced, HTS tapes provide - 10x more field per kg in the last decade\n\nThe _two price shocks multiply_: cost of field-per-kilogram and cost of kilograms-to-orbit are both independently collapsing. In orbit this results in an ongoing “price shock squared” in just the resource we need for fusion: magnetized vacuum.\n\n**Why This Matters**\n\nPower is the final barrier to a real space economy:\n\n• Large computing and data centers in orbit\n\n• Industrial manufacturing and materials processing in microgravity\n\n• High-power electric propulsion stages\n\n• Defense platforms\n\n• Human habitats and long-duration exploration\n\nAll of these require MW-class power.\n\nHumanity's ability to harness concentrated energy has been the driving force behind Earth's industrial revolutions.\n\nWhen hydrocarbons arrived, heavy industry followed.\n\nWhen cheap, compact fusion arrives in orbit, the same thing will happen - off-planet.\n\nAnd the early movers shape the infrastructure layer.\n\nWe founded Zephyr Fusion because we believe the space economy is transitioning from exploration to industry, and industry requires power at scale.\n\nLet’s build it.\n\n**Ask**\n\n**Feedback -** We’d love to discuss the physics and roadmap - reach out anytime.\n\n**Introductions -** If you know satellite, defense, or other teams that have an interest in MW-class power, we’d appreciate intros. Let us know at [founders@zephyrfusion.com](mailto:founders@zephyrfusion.com).\n\nThanks!\n\n\\- The Zephyr Fusion Team\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/ce082155-315b-44b0-af6a-017346eb99db)\n\n", "url": "https://www.ycombinator.com/launches/Oox-zephyr-fusion-in-orbit-fusion-power", "votes": 59, "created_at": "2025-11-12T06:56:27.373Z" } ] }, { "id": 31135, "name": "RoboDock", "slug": "robodock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.png", "website": "https://www.robodock.tech/", "all_locations": "San Francisco, CA, USA", "long_description": "RoboDock builds robots that automate depot operations, like charging and vehicle checks, for electric and autonomous vehicle fleets. We turn fleet depots from manual sites into self-running systems that lower operational costs and increase vehicle uptime.", "one_liner": "Robots that run autonomous depots for autonomous fleets.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1769119894, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/robodock", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/robodock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robodock-tech/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/robodock", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.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": 3028822, "full_name": "Zinny Weli", "title": "Founder/CEO", "founder_bio": "Zinny Weli is co-founder and CEO of RoboDock.\n\nShe previously led autonomous drone charging infrastructure at Zipline and developed the charging system for Amazon’s home robot, while advancing robotic manipulation R&D for next-generation products. Her expertise spans real-world robotic deployment, from perception-driven manipulation to production-scale hardware systems.\n\nZinny holds a BSME from the University of Michigan (top 1%) and an MSME (Robotics) from Stanford University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zinnyweli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0039cb5b55365da303f8a7705618e0582295f15.jpg" }, { "user_id": 2727198, "full_name": "Celine Wang", "title": "Founder/CTO", "founder_bio": "Celine Wang is the co-founder and CTO of RoboDock. \n\nPreviously, she was a senior mechatronics engineer at Plus, integrating actuator and sensor systems to enable autonomous semi-trucks. Her background includes deep field engineering across rural Indonesia, UNESCO heritage sites in Peru, and wildlife reserves in China. She holds B.S. and M.S. degrees in mechanical engineering from Stanford and brings a builder’s mindset shaped by years of deploying complex systems.\n\nwww.celinewang.me", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/celinewang16/", "x_url": "https://x.com/nicenewgal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/667c8724147a8dd0b061978f60c1546417ae464b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97957, "title": "RoboDock: Autonomous Depots for Autonomous Fleets", "tagline": "Robots that automate depot operations for AV fleets.", "body": "**TL;DR:** Autonomous vehicles are scaling fast, but the depots that charge, inspect, and operate them are still manual. RoboDock automates charging and vehicle inspections so fleets can finally be end-to-end autonomous.\n\n\n\n🚧 **The problem**\n\nAutonomous vehicles are no longer the bottleneck. **Infrastructure is.**\n\nBy 2035, there will be \\~76M autonomous vehicles globally, and the AV market is expected to grow from \\~$200B today to \\~$3T.\n\nYet the depots that power these fleets are still manually run. If you were to go watch one, you’d be shocked at how many people it takes to maintain the vehicles.\n\nToday, AV and EV fleet depots rely on people to:\n\n* Plug and unplug vehicles into chargers\n* Catch missed or failed charge events\n* Manually inspect vehicles before and after deployment\n* Maintain road-readiness under tight turnaround times\n\nThis breaks the autonomy loop.\n\nThe pain these fleets experience?\n\n* \\~$900k per depot per year in charging labor and overhead\n* Redundant chargers and vehicles to compensate for human error\n* 2–3 year timelines and $8M+ CapEx just to build new depots\n* Vehicle downtime from missed issues and reactive maintenance (up to $650k per depot per year) → less time making money on the road\n\n**Autonomous fleets can drive themselves, but they still can’t operate themselves.**\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/c431cd46-f80c-45da-982a-55bbc39ea137)\n\n✅ **The solution**\n\n**RoboDock is building autonomous depots for autonomous fleets.**\n\nWe deploy a robotic system that:\n\n* Physically plugs vehicles into chargers\n* Verifies successful charge initiation\n* Performs automated post-trip vehicle inspections every time a vehicle returns\n\nOur system works with **existing depots, existing chargers, and any vehicle type**. No layout changes and no rebuilds necessary.\n\nCharging and inspections become:\n\n* Fully autonomous\n* Safe and consistent\n* Closed-loop and self-optimizing\n\nWe’re turning depots from manual cost centers into **self-running infrastructure.**\n\n**🧠 Why RoboDock**\n\n* **Hardware-first autonomy**: We automate the physical work that actually limits fleet scale\n* **Robotic charging**: No humans, no missed plugs, no idle vehicles\n* **Safety-first inspections**: Vision + thermal sensing catch issues humans can’t see consistently\n* **Retrofit, not rebuild**: Deploy into live depots with zero operational disruption\n* **Designed for scale**: Every vehicle, every return, every day improves the system\n\nThis is how autonomy actually becomes autonomous.\n\n**👩🏾‍🔧👩🏻‍💻 Our team**\n\nWe’ve spent our engineering careers building real-world autonomy. We met seven years ago at Stanford, when Zinny was Celine’s TA.\n\n**Zinny Weli — CEO & Co-Founder**\n\nLed design and deployment of autonomous charging systems for electric drones at Zipline, and designed the charging system for Amazon's first home robot and its advanced robotics manipulation platform.\n\n**Celine Wang — CTO & Co-Founder**\n\nFormer vehicle platform engineer at Plus, where she retrofitted autonomous systems onto semi-truck fleets by integrating mechanical, electrical, and software stacks end-to-end. \n\nTogether, we bring deep experience deploying autonomy where it actually breaks: the real world.\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/78d912fd-def0-446f-91a6-d14d86babb5b)\n\n**🙏 Our ask**\n\nWe’re onboarding early pilot partners and would love introductions to:\n\n* AV & EV fleet operators\n* Infrastructure, parking, and depot operations team\n* Ports, logistics yards, and large fleet facilities\n* Hardware and systems minded investors thinking about autonomy at scale\n* Robotics/computer vision engineers\n\nIf you’re thinking about how fleets operate, we should talk! Email [zinny@robodock.tech](mailto:zinny@robodock.tech) or [celine@robodock.tech](mailto:celine@robodock.tech).", "url": "https://www.ycombinator.com/launches/PTx-robodock-autonomous-depots-for-autonomous-fleets", "votes": 13, "created_at": "2026-02-19T15:09:01.755Z" } ] }, { "id": 31158, "name": "Terranox AI", "slug": "terranox-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.png", "website": "https://terranox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Terranox is the first vertically integrated AI-powered uranium exploration company. We find high-grade uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.", "one_liner": "The first AI-powered uranium discovery company", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1771881994, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/terranox-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/terranox-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.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": 898324, "full_name": "Jade Checlair", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO of Terranox AI, the first vertically integrated AI-powered uranium discovery company. PhD in Geophysics from UChicago, ex-NASA Ames and ex-BCG mining & energy. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jade-checlair/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/833c61f4c5d5f095429bd93762d3ce63b6a29715.jpg" }, { "user_id": 2970910, "full_name": "Leeav Lipton", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO of Terranox AI, the first vertically integrated AI-powered uranium exploration company. Ex-NASA JPL researcher on remote sensing tech, 8+ years as an AI/ML scientist at Borealis AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leeavlipton", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/018deca9787dd01cf8c40d4cfb629f3d68f452a9.jpg" } ], "jobs": [ { "id": 94018, "title": "Founding Applied Scientist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/9xGzcvz-founding-applied-scientist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94134, "title": "Senior Exploration Geologist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/ozLcPgW-senior-exploration-geologist", "location": "Saskatchewan, CA / SK, CA / Remote (SK, CA; Saskatchewan, CA)", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$115K - $185K CAD", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 94643, "title": "Summer Intern - Applied Science MSc/PhD", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/YYAgEYl-summer-intern-applied-science-msc-phd", "location": "San Francisco, CA, US", "type": "Internship", "role": "Science", "role_type": "Research", "salary_range": "$8K - $16K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104195, "title": "Fall Intern - AI/ML Engineering", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/LVMQOLw-fall-intern-ai-ml-engineering", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$5K - $12.5K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Machine Learning", "Computer Vision", "Machine learning" ] }, { "id": 104394, "title": "AI/ML Engineer", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/TxXPS7x-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98155, "title": "Terranox AI: AI-powered uranium discovery", "tagline": "Finding the uranium deposits we need to fuel the next century with nuclear energy.", "body": "**TL;DR:** Terranox AI ([terranox.ai](http://terranox.ai)) is the first vertically integrated AI-powered uranium discovery company. We discover economic uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.\n\n\n\n⚡️ **The Nuclear Renaissance:**\n\nNuclear is experiencing a global resurgence as the only scalable clean baseload power option that can meet humanity's exploding energy needs:\n\n* **AI datacenter electricity demand** will more than double by 2030\n* Microsoft, Google, Amazon, and Meta have collectively **committed billions to nuclear power**\n* 30+ countries pledged to **more than triple global nuclear capacity by 2050**\n* In 2025, the U.S. government signed executive orders to **quadruple nuclear capacity**, with $80B+ in commitments across reactors and fuel supply chains\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/f98faf46-f9ae-4a9b-b299-2fbbd1361db4)\n\n⛽️ **The Fuel Crisis:**\n\nBut this nuclear future has one critical dependency: **uranium fuel.**\n\n* Global uranium production needs to **4x by 2050**, but we already have a **supply deficit today** with depleting stockpiles\n* The world’s largest mines will **approach end-of-life** simultaneously starting in the mid 2030s\n* New mines take **10-15 years from discovery to production**\n\n**The West needs new economic discoveries in stable jurisdictions to ensure energy security.**\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/8b02b13f-eeba-4933-a331-5a6556f57c7a)\n\n🆘 **The Bottleneck: Exploration is Broken**\n\nExploration still works like in the 1960s: slow, fragmented, guided by intuition and outsourced workflows. **Hit rates are <1%**, driving extremely high costs and decade-long timelines. Meanwhile, 70+ years of exploration data sits trapped in thousands of legacy PDFs and handdrawn maps, unused.\n\n**We're not finding deposits fast enough to power the future.**\n\n⚒️ **What We Are Building:**\n\n**Terranox AI is the first vertically integrated AI-powered uranium discovery company.**\n\nWe find uranium deposits in North America using AI trained on decades of geoscience data and exploration outcomes.\n\n**Our system does three things:**\n\n1. **Multi-modal geoscience intelligence:** Extracts and processes geoscience data from decades of fragmented sources, building a unified exploration context base\n2. **Prospectivity mapping for discovery:** Identifies high-potential areas humans would miss using uranium-specific AI models trained on decades of exploration outcomes\n3. **Sequential decision intelligence:** Determines the optimal next action to maximize information gain per dollar spent, learning from every result in real time\n\n**The result:** A compounding learning flywheel. Every drill hole (hit or miss) makes our predictions better across all projects. The more we explore, the smarter we get.\n\nWe're launching our own exploration projects in North America to ensure the nuclear renaissance has the fuel it needs.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/21570b8b-dce2-4a8b-8340-7409fc467ab0)\n\n👷‍♀️👷‍♂️ **Who We Are:**\n\n**Jade Checlair - CEO & Co-Founder**\n\nPhD Geophysics (UChicago). Developed statistical methods for planetary discovery adopted by NASA flagship missions. 3.5 years at BCG leading nuclear and mining strategy. Ex-NASA Ames.\n\n**Leeav Lipton - CTO & Co-Founder**\n\n8 years building AI/ML systems at Borealis AI. Astrophysics background. Ex-NASA JPL scientist on low-cost remote sensing tech.\n\nWe met in first-year physics and have been friends for 10+ years.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/4ee78148-0515-4578-ad43-c07e2754d020)\n\nContact us at [founders@terranox.ai](mailto:founders@terranox.ai).", "url": "https://www.ycombinator.com/launches/PX9-terranox-ai-ai-powered-uranium-discovery", "votes": 218, "created_at": "2026-02-25T03:33:05.394Z" } ] }, { "id": 31219, "name": "Voxel Energy", "slug": "voxel-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "website": "https://voxelenergy.com/", "all_locations": "", "long_description": "The best grid connection is no grid connection. 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Casey played a key role in Tesla’s “production hell” in 2018, leading teams that built ad-hoc assembly lines, then worked on those lines himself, building Model 3’s.", "is_active": true, "linkedin_url": "https://linkedin.com/in/casey-spencer", "x_url": "https://x.com/recnepsyesac", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42c06b9683a76137bd9b3669bab6d83aabe249aa.jpg" }, { "user_id": 2980349, "full_name": "Max Pfeiffer", "title": "Founder/CTO", "founder_bio": "Forbes 30 Under 30 recognized for bootstrapping Maxwell Vehicles, a multi-million-dollar EV manufacturing business founded out of UW ECE following a year at Tesla designing electric big-rig prototypes. Built the first economically sustainable and materially circular model for manufacturing EVs using second-life EV batteries and motors. Now focused on transformational deployment of clean energy technologies in AI energy infrastructure. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxpfeiffer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee8a9bcc82da6416d1f5819281280f190a6e5a48.jpg" }, { "user_id": 2970286, "full_name": "Evan Schmidt", "title": "Founder/COO", "founder_bio": "Evan is a business leader with over a decade of experience in architecture and commercial construction management, including work on data centers. His hands-on engineering and fabrication expertise allow him to integrate innovation with the practical demands of technical construction. Now deploying clean energy technologies to meet the demands of cutting edge computing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zephyrschmidt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdb6df249a2e64eba137b2e389b49c6eea7c3ffd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97253, "title": "Voxel Energy - Rapidly deployed data centers. Power included.", "tagline": "The best grid connection is no grid connection.", "body": "**TLDR;** [Voxel](http://voxelenergy.com/) is building data centers and power together, speeding new builds from years to months. \n\n**Ask;** If you or someone you know has GPUs and is stuck waiting for power, [we’d love to hear from you! ](https://www.voxelenergy.com/contact)\n\nOur Launch Video:[ https://youtu.be/ONSk5D4-evQ](https://youtu.be/ONSk5D4-evQ)\n\n\\\n**Our Team** \n\nVoxel was founded by ex-Tesla serial entrepreneurs and builders, who have spent the last decade defining the future of American energy consumption. \n\n* [Casey Spencer](https://www.linkedin.com/in/casey-spencer/), CEO, was Project Manager for Tesla Autopilot, and has since founded three hardware companies.\n* [Max Pfeiffer](https://www.linkedin.com/in/maxpfeiffer/), CTO, ex-Tesla, and listed on Forbes 30 Under 30 for founding the EV manufacturer Maxwell Vehicles.\n* [Evan Schmidt](https://www.linkedin.com/in/zephyrschmidt/), COO, years of experience managing millions of dollars of commercial, HVAC, and data center projects.\n\n**Problem** \n\nAI has maxed out the electrical grid. Average data center time to power is five years and growing. **$3 Trillion in data center projects are slated for construction by 2030, yet half may never be built due to power constraints.** Energy prices for everyone, everywhere, are creeping up. **The AI bottleneck isn’t chips - it’s power.**\n\n**Solution** \n\nVoxel Energy is building data centers with on-site solar energy generation, distribution, and storage for **24/7 power in months, not years**.  \n\n* **No Grid Connection Wait** because Voxel doesn’t need agreements with utilities.\n* **Solar at Scale** - we’re deploying hundreds of megawatts to power GPUs.\n* **24/7 Battery Storage** powers compute when the sun is down.\n* **Backup Generation** ensures redundant operation 365 days a year. \n* **Stable Power** with the rapid-response needed to handle dynamic training loads.\n* **Inherent Redundancy** from Voxel’s proprietary DC power distribution system.\n\n**We’ve Already Started**\n\nOur systems prototype is live, operational, and **already running off-grid compute.** Hundreds (Update: Thousands) of acres are already under contract.  And we’re already amassing batteries.\n\n**Now Accepting Reservations** \n\nVoxel is taking reservations for our existing sites. Capacity is limited. [Contact us](https://www.voxelenergy.com/contact) if you’re tired of waiting to power your compute. \n\n![uploaded image](/media/?type=post&id=97253&key=user_uploads/1490644/92dd2438-8663-490b-b01a-c8f97071bbb6)\n\n", "url": "https://www.ycombinator.com/launches/PIb-voxel-energy-rapidly-deployed-data-centers-power-included", "votes": 50, "created_at": "2026-01-28T08:33:47.413Z" } ] }, { "id": 31245, "name": "Squid", "slug": "squid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "website": "https://squid.energy", "all_locations": "London, England, United Kingdom", "long_description": "We believe the electricity grid is the most important machine on Earth. If we want electrification to move fast, the teams planning and operating networks need software that is as modern as the challenge.\r\n\r\nOur thesis is simple. Better decisions come from one unified, trusted network model. When everyone works from the same model, planning becomes consistent, assumptions are visible, and progress stops getting lost in spreadsheets and static reports.\r\n\r\nSquid is AI powered grid planning in your browser. We have spent years inside National Grid, Octopus Energy, and AWS, building and learning what breaks. Now we are building what we wished existed.", "one_liner": "AI agents for power grid planning 🦑 ", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1768422882, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/squid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/squid.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/squid-energy", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/squid-8289", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/458d1c9552b902a0518403c8ac5448409e9c1a99.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4dd68590f90952ff454dfa2326e734597fa6c348.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2134143, "full_name": "Conor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder / CEO of Squid 🦑\n🐙 Octopus Energy, 📚 BCG, ⚡️ National Grid", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-jones-aa6590141/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c757ff2fe9771afffbed7acb5e63089dc6a24f64.jpg" }, { "user_id": 2318150, "full_name": "George Kolokotronis", "title": "Founder/CTO", "founder_bio": "Co-Founder / CTO of Squid 🦑\nEx: 🐙 Octopus Energy (Head of Tech), ☁️ AWS, 🎓 Cambridge\n↪️ Repeat Energy/CleanTech Founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-kolokotronis/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afcd412ccaf5636bde04c3d61c734dc9bedfcd6f.jpg" } ], "jobs": [], "news": [ { "title": "National Grid DSO partners with Squid to improve accessibility of electricity network data - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-partners-with-squid-to-improve-accessibility-of-electricity-network-data/", "date": "Mar 19, 2026" }, { "title": "National Grid launches new interactive flexibility portal (Powered by Squid 🦑) - Utility Week", "url": "https://utilityweek.co.uk/national-grid-launches-new-interactive-flexibility-portal/", "date": "Feb 11, 2026" }, { "title": "National Grid DSO launch new interactive FlexPortal (Powered by Squid 🦑) - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-launch-new-interactive-flexportal/", "date": "Feb 11, 2026" } ], "launches": [ { "id": 97179, "title": "Squid 🦑 AI-powered grid planning in your browser", "tagline": "The electricity grid is the most important machine on Earth - but planning is still file chaos. One trusted model fixes it.", "body": "**TL;DR:** Grid decisions still get made across emails, spreadsheets, PDFs, GIS exports, and conflicting model versions. [Squid](https://www.linkedin.com/company/squid-energy/) ([squid.energy](http://squid.energy)) gives utilities a single, trusted model (a live, versioned grid map of substations and lines, with evidence attached) so planning is consistent, and decisions ship faster.\n\n### **The problem**\n\nMost grid organisations have the tools for analysis, but the _decision trail_ is fragmented:\n\n* models live in specialist tools\n* evidence lives in decks/docs/spreadsheets\n* assumptions live in people’s heads\n\nResult: slow planning cycles, endless “which version is right?”, and hard-to-defend decisions.\n\n### **Our solution**\n\nSquid is a workspace where the **model of the electric grid at the center**.\n\n* **Unify** messy grid data into one coherent model (and keep it current)\n* **Version** everything so changes are trackable and comparable\n* **Attach evidence + assumptions** to the model, where decisions are made\n* **Run repeatable workflows** for planning, connections, and network change\n\n### **Why now**\n\nElectrification is accelerating and the grid is the bottleneck. The old workflow - files, handoffs, static reports - doesn’t scale to the pace of change.\n\n### **Why us**\n\nWe’re [Conor Jones ](https://www.linkedin.com/in/conorjones-energy)and [George Kolokotronis.](https://www.linkedin.com/in/george-kolokotronis/) We’ve built inside **National Grid, Octopus Energy, and AWS** - we’ve lived the pain, and we’re building the system we wish we had.\n\n### **Our ask**\n\nWe’re looking for **design partners** at grid operators (planning, connections, modelling, GIS, asset strategy). If that’s you - or you can intro us - please reach out: [**hello@squid.energy**](mailto:hello@squid.energy)\n\n![uploaded image](/media/?type=post&id=97179&key=user_uploads/2134143/a610c2ac-564e-4d73-a8d3-b0dacbdb6752)\n\n", "url": "https://www.ycombinator.com/launches/PHP-squid-ai-powered-grid-planning-in-your-browser", "votes": 15, "created_at": "2026-01-28T08:01:31.486Z" } ] }, { "id": 31303, "name": "Condor Energy", "slug": "condor-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.png", "website": "https://www.condor.energy", "all_locations": "Paris, Île-de-France, France", "long_description": "Condor helps large electricity consumers - C&I and data centers - cut electricity costs by helping the grid.\r\nWe are former electricity traders and energy physicists. We build an AI-powered software that our clients use to optimize their energy procurement - making sure they always have access to cheap & reliable power.", "one_liner": "Software for enterprise energy procurement.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1770133131, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/condor-energy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/condor-energy.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/condorenergy", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.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": 3197643, "full_name": "Jean Costa de Beauregard", "title": "Founder/CEO", "founder_bio": "CEO of Condor Energy - building the OS for next-gen energy procurement. Hydropower lover and energy nerd.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jean-costa-de-beauregard/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cbd1b6bf2c113a14f4d71d74b18b45cb8761990.jpg" }, { "user_id": 3206910, "full_name": "Clément Grivel", "title": "Founder/CTO", "founder_bio": "CTO @ Condor Energy (building the energy intelligence platform for large consumers)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clément-grivel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4533f0cf4aae009a44bc7d859bf1b6cc481c0582.jpg" }, { "user_id": 3206915, "full_name": "Florian Pérocheau", "title": "Founder", "founder_bio": "CPO @ Condor Energy (YC W26). Currently building software to redefine how enterprises consume and procure electricity. Former equity quant and power trader.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/florian-perocheau/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b99f3340b13cee6ed7714549a6b9bcf121652db4.jpg" } ], "jobs": [], "news": [ { "title": "Condor Energy scrute avec l'IA les coûts des entreprises énergivores - GreenUnivers", "url": "https://www.greenunivers.com/2026/04/condor-energy-scrute-avec-lia-les-couts-des-entreprises-energivores-421552/", "date": "Apr 19, 2026" } ], "launches": [ { "id": 98121, "title": "Condor Energy - powering next-gen electricity supply", "tagline": "AI-powered cockpit for electricity procurement", "body": "Hey, we’re [Clément](https://www.linkedin.com/in/clement-grivel/), [Jean](https://www.linkedin.com/in/jean-costa-de-beauregard/) and [Florian](https://www.linkedin.com/in/florian-perocheau/) - electricity nerds building Condor Energy. We met in France, where Florian used to trade power, and Clément and Jean worked together on hydropower plants.\\\n\\\n**TL;DR:** Condor Energy builds software for next-generation electricity supply. We help C&I customers, data center operators and their utilities cut electricity bills by up to 20% and de-risk their operations. We’re live with a leading data center operator, large retail chains and European industrial companies.\n\n\n\n❌ **The problem**\n\nWe realized that as the grid moves towards renewables, large energy consumers like data centers would need better tools for their electricity management. We interviewed 200+ companies spending €Ms/y on power, and we realized this was a consistent problem.\n\n* Electricity costs are no longer “price \\* volume”: they depend on location, time of day, peaks, imbalance, regulation…\n* Large energy consumers must leverage highly complex options and invest $Ms : on-site generation and storage, long-term contracts, RECs, demand-response programs…\n* Yet, they still manage power on incorrect spreadsheets, manual forecasting, wrong data and simplistic simulations.\n\nAnd these errors lead to misinformed Capex investments, delayed interconnection, higher energy costs and unstable grids.\n\n**🧠 The solution**\\\nToday, Condor works with large companies in Europe, and we’re launching in the US. They currently use our software for their:\n\n* Hedging: a large European industrial simulates and tracks its hedge portfolios to secure long-term energy costs.\n* Budgeting: a major retail chain forecasts PPAs and Spot market exposure over all of its stores, and then verifies its invoice.\n* Investment: a leading data center operator with complex procurement optimizes its energy spending by simulating on-site & off-site investments.\n\n\\\nHere’s what Condor does for them:\n\n* Monitor and forecast their day-to-day energy needs and costs, on each facility and in total.\n* Improve their energy procurement and plan their investments based on accurate data, simulations and forecasts.\n* Plan their operations and steer their behind-the-meter assets directly via our platform.\n\nBecause we centralize and curate all their energy data (consumption, market, contracts, regulation…), our customers use Condor to make better decisions - saving millions and de-risking their operations.\n\n**Our ask:** If you are a business in the US or in France spending more than €1M/y on electricity, we can help you improve your energy procurement.\\\nVisit [condor.energy](http://condor.energy) to book a demo - or send an email to [jean@condor.energy](mailto:jean@condor.energy).", "url": "https://www.ycombinator.com/launches/PWb-condor-energy-powering-next-gen-electricity-supply", "votes": 23, "created_at": "2026-02-24T01:27:21.232Z" } ] }, { "id": 31399, "name": "Madrone", "slug": "madrone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "website": "https://madrone.cool/", "all_locations": "San Francisco, CA, USA", "long_description": "Madrone builds cooling systems for data centers. In Texas, where most new sites are, Madrone can cool using 30% less power and water, thanks to novel dew-point cooling technology. ", "one_liner": "Hyper-efficient coolers for data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1778520435, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/madrone", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/madrone.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/madrone-labs/", "x_url": "https://x.com/madronelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f23192662de78c6755d9ba2266dc5baa90714e50.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2118032, "full_name": "Akshay Trikha", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Madrone, where I'm making data center cooling more efficient. Prev. trained models with millions of inferences at QuantumScape, and to predict material properties at Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshay-trikha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fae3e8340071c5ca8b3e7d8b2e79afceaf91af14.jpg" }, { "user_id": 3203409, "full_name": "Erik Meike", "title": "Founder/CTO", "founder_bio": "Founder at Madrone (YC P26). Previously Hardware Development Engineer at Apple, working on iPhone wireless power technologies across multiple years. Started career with early-stage hardware/robotics experience at JITx (automated PCB design) and PRENAV (autonomous quadcopter monitoring). Harvey Mudd Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erikmeike/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/debd70cbe130494ba1ef7530ef78820d6aa757cc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101247, "title": "Madrone - chiller-less cooling for desert data centers", "tagline": "Madrone builds efficient cooling without installing a chiller, saving tens of millions of dollars per facility.", "body": "Hey everyone!\n\nWe’re [Akshay](https://www.linkedin.com/in/akshay-trikha/) and [Erik](https://www.linkedin.com/in/erikmeike/), the founders of [Madrone](https://madrone.cool).\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/aef61dad-d700-4244-bc3a-096c61aaba81)\n\n**TLDR;** Giant data centers are being built in the desert and need better cooling. Madrone builds modular cooling systems that chill water to the dew point, slashing power usage and deploying fast.\n\n**Problems**\n\n* Data centers are limited by power availability, not chips or land\n* Up to 30% of facility power is diverted to cooling instead of GPUs\n* Data centers are being built in the desert, where cooling is hard\n* Grid permits are backlogged for years (efficient cooling unlocks more compute)\n\n**Our Solution**\n\nWe’re building a facility water cooling system that cools to the dew point (lower than competitors) while using less power and water. Our system is modular and designed to be fabricated and installed as quickly as possible to accelerate our customers' time to deployment.\n\nEvery 1% of cooling efficiency = $2.6 million more GPU revenue / 100 MW / year. That means Madrone’s cooling efficiency saves $78 million / 100 MW / year.\n\nHere’s our 1kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/bd66a088-4246-438d-ac59-570015655e80)\n\nHere’s us building our 100kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/9d94b343-6f27-4b97-ab66-bd5345fb2581)\n\n**We’re full stack**\n\nWe design everything from the electronics, to the heat exchangers, to the software in-house to squeeze every watt of performance. Erik spent 4 years at Apple designing power & thermal systems for the iPhone. Akshay built ML systems running 1M+ inferences/month at QuantumScape.\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/39751a33-4b7a-4726-9c37-00d2f6d2b410)\n\n**Ask:** If you're building data centers, we'd love to work with you. \n\n**Contact:** [hello@madrone.](mailto:hello@madrone.dev)cool", "url": "https://www.ycombinator.com/launches/QL1-madrone-chiller-less-cooling-for-desert-data-centers", "votes": 27, "created_at": "2026-05-12T15:57:02.621Z" } ] }, { "id": 31503, "name": "Apollo Atomics, Inc.", "slug": "apollo-atomics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.png", "website": "https://apolloatomics.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "We make the most compact nuclear reactors", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1779451083, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/apollo-atomics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/apollo-atomics-inc.json", "year_founded": null, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/apollo-atomics/", "x_url": "https://x.com/ApolloAtomics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.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": 1771814, "full_name": "Assil Halimi", "title": "Founder/CEO", "founder_bio": "Founder at Apollo Atomics, Inc. (YC P26). PhD in Nuclear Engineering from MIT with 15 peer-reviewed publications and 2 patents on reactor design and fuel optimization. Previously reactor operator at Engie (Belgium's nuclear operator) and advanced reactor designer at EDF (world's largest nuclear operator). Worked with Westinghouse, NuScale, Rolls-Royce on PWR development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aahalimi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd3b774cc6015b86db8d3522ed253a04f1971a7b.jpg" }, { "user_id": 3593795, "full_name": "Drew Walker", "title": "Founder/COO", "founder_bio": "Co-Founder & COO of Apollo Atomics (YC P26). He previously co-founded Blue Innovations Group, an electric boat startup, and served in the White House. He holds a B.A. in Political Science from George Washington University.​​​​​​​​​​​​​​​​", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drewwalkerrr/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a630f3cd7cbb13ad53c30ddd73c4424e4a514fa4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102035, "title": "Apollo Atomics: The Modern Nuclear Company", "tagline": "Compact nuclear reactors for companies that can't wait for the grid.", "body": "Hey everyone 👋\n\nWe're [Assil](https://www.linkedin.com/in/aahalimi/) and [Drew](https://www.linkedin.com/in/drewwalkerrr/) — co-founders of [Apollo Atomics](https://www.apolloatomics.com).\n\n### TL;DR\n\nApollo Atomics took the pressurized water reactor technology that already powers 80% of the world's nuclear plants and flipped one part, the steam generator, to make the plant an order of magnitude smaller without compromising power. That single change turns a decade-long construction project into a factory-built machine that fits on a truck. We've built a working demonstrator, tested it, and our fuel is already critical before July 4th.\n\nWe put the whole story into just over two minutes — it's the clearest version of what we're building we've made so far: ▶️ \n\n### The Problem\n\nThe existing nuclear playbook doesn't work for customers who need power now.\n\n* Gigawatt-scale nuclear takes 10+ years and \\~$20B per plant.\n* Most Small Modular Reactors (SMRs) in development rely on exotic fuels, unproven coolants, or supply chains that don't exist yet.\n* Customers who need power in 2030 are being told to wait until 2035+ and hope.\n\nData centers, industrials, and utilities have demand today — and no credible nuclear option that can ship on their timeline.\n\n### Our Solution\n\nApollo builds compact pressurized water reactors — the same technology that runs \\~80% of the world's nuclear plants today. The difference is that our reactor is roughly 40x more compact, because we shrank only one component: the steam generator.\n\nWe keep everything the NRC has already licensed dozens of times — light water, low-enriched uranium, fuel, and components from existing qualified supply chains. The innovation is a single part: the steam generator.\n\nOur Compact Steam Generator (CSG) replaces the massive, hand-built steam generator at the heart of a conventional PWR with a component 20x smaller, delivering the same thermal power — pre-tested, transportable, and contracted at a fixed price. That one change is what takes a reactor from a decade-long construction project to a factory-built machine deployable in less than 24 months.\n\nOur product roadmap is three reactors, each on a truck, each for a different customer segment:\n\n* A-10 — 10 MWe\n* A-50 — 50 MWe\n* A-300 — 300 MWe\n\n### Our Ask\n\nIf any of these are you, we'd love to talk:\n\n* Data center operators and hyperscalers sourcing 24/7 firm power for 2028–2035 deployment.\n* Industrial offtakers (chemicals, refining, heavy manufacturing) needing process heat or behind-the-meter electricity.\n* Utilities evaluating SMRs for grid-connected generation.\n\n👉 Reach us at [ahalimi@apolloatomics.com](mailto:ahalimi@apolloatomics.com) and [drew@apolloatomics.com](mailto:drew@apolloatomics.com).", "url": "https://www.ycombinator.com/launches/QXj-apollo-atomics-the-modern-nuclear-company", "votes": 35, "created_at": "2026-05-27T16:16:56.566Z" } ] }, { "id": 31512, "name": "Aernata", "slug": "aernata", "former_names": [ "Pentagon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.png", "website": "https://aernata.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aernata is an American chemicals company producing clean fuel from industrial emissions.\r\n\r\nWe're starting by converting CO2 to methanol for synthetic fuel production.", "one_liner": "Making clean methanol out of CO2.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1775312221, "tags": [ "Carbon Capture and Removal", "Alternative Fuels", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/aernata", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aernata.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aernata", "x_url": "https://x.com/aernata", "fb_url": null, "cb_url": null, "github_url": "https://github.com/aernata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.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": 402484, "full_name": "Edgar Pavlovsky", "title": "Founder", "founder_bio": "Founder @ Aernata (P26) - an American chemicals company producing clean fuel from industrial emissions.\n\nPreviously founded: marginfi (DeFi lending on Solana), mtndao (Solana's largest builder community), a trading firm & a logistics SaaS.\n\nBefore that: Uber, Goldman Sachs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgarpavlovsky/", "x_url": "https://x.com/edgarpavlovsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b30edf88abaa421a8619ecae8211bf532982bbb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101681, "title": "Pentagon - A coordination layer for humans and agents.", "tagline": "A new kind of team: humans and agents, working together.", "body": "Hey YC! I'm [Edgar](https://www.linkedin.com/in/edgarpavlovsky/), building [Pentagon](https://pentagon.run).\n\n**TL;DR** Agents are everywhere but they don't have good ways to work together, so humans become the coordination bottleneck. Pentagon is a coordination layer where your agents communicate autonomously, coordinate on tasks, and get work done as a team.\n\n**Book a demo and see it in action:** \\\n**Our launch video:** \n\n**Problem**\n\nAgents are increasingly becoming AI teammates at work - coding, researching, ops, even talking to customers. But they work alone. Coordination is the bottleneck, and it shows up differently depending on where you sit:\n\n* **Small teams** are spinning up agents from scratch and immediately hitting the ceiling: each one is powerful on its own, but getting them to actually work together means you're back in the loop, copy/pasting between terminals.\n* **Enterprises** already have agents running everywhere across the org. The hard part is figuring out what they're doing, how they fit together, and how to keep track of it all.\n\nUnderneath both: humans are the middleware. Hours of human time burnt doing work meant for a mechanical turk. Today's tools weren't built for this - AI products are conversational and non-deterministic, and reproducing workflows is harder than ever.\n\n**Org code**\n\nThere's a deeper layer to this. Great teams are built for the moment - the right team depends on the problem at hand, the resources you have, and even who's leading. This applies to agents the same as it does to humans: every problem has its own org structure.\n\nAndrej Karpathy calls it \"org code\" - and points out that compared to classical orgs, agentic codes have powerful new properties: they’re reproducible and more transparent. We think that agents also allow organizations to be much more dynamic: they can adapt to problems in realtime, and open a new dimension of what it means to build a productive organization.\n\nFrom [a popular Karpathy tweet](https://x.com/karpathy/status/2031767720933634100):\n\n![Image](https://pbs.twimg.com/media/HIts8HMaIAAKjok?format=jpg&name=medium)\n\n**Our first solution: Pentagon Studio**\n\nPentagon's mission is to build the coordination layer for humans and agents. We're starting with Pentagon Studio - a workspace designed to feel familiar to existing alternatives and shepherd companies into a new kind of collaborative work.\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/286ecb28-a420-4390-81cf-f1c1b181ec5c)\n\nIn Pentagon Studio, you define your org structure and your agents run it. Agents live on a spatial canvas and pop up sticky notes with status updates - you see who's active, idle, or blocked at a glance. They message each other, delegate tasks, share context, and build self-evolving memory over time. As the human, your job is to design and manage the team; they do the coordination.\n\n* **Spatial canvas.** Agents live on infinite canvases you can think of like an office. Zoom in on one agent's conversation, zoom out to see the whole operation. The \"org IDE.\"\n* **Autonomous coordination.** Realtime, event-driven communication between agents - no expensive polling loops. Agents take feedback from you, ping another agent to get work done, then ping you when they need you.\n* **Agent persistence.** Agents maintain sessions indefinitely and compound institutional knowledge over time. Tribal knowledge for your agent team.\n* **Shared skills & tools.** Manage capabilities at individual, team, workspace, or org level. Each agent inherits based on hierarchy.\n* **Human multiplayer + human-in-the-loop.** In contrast to \"zero-human company\" angles, we see humans and agents collaborating across shared orgs. Your agents should be able to work with your coworkers' agents.\n\n**Why now**\n\nAgents are already inside companies. The infrastructure to coordinate them isn't. Every day this gap stays open, humans burn hours doing work meant for a mechanical turk and leaders lose transparency into how work actually gets done.\n\nWe believe the best version of the future is one where superintelligent agents are viewed as teammates and we work with them as partners. Every company already knows how to work with coworkers - agents fit into existing organizational frameworks better than we've been giving them credit for. They just need the infrastructure to coordinate.\n\n**Ask**\n\nIf you're running agentic workflows in production and struggling to manage them, we’d love to chat. See Pentagon Studio in action and book a demo with us at or reach out to me personally, and let’s evolve your team: [edgar@pentagon.run](mailto:edgar@pentagon.run).\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/eb375bb3-1851-449f-9953-0daea8bee1b2)\n\n", "url": "https://www.ycombinator.com/launches/QS1-pentagon-a-coordination-layer-for-humans-and-agents", "votes": 12, "created_at": "2026-05-20T23:57:21.091Z" } ] }, { "id": 32157, "name": "Maingen", "slug": "maingen", "former_names": [ "Maingen AI", "Maingen", "Maingen AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "website": "https://www.maingen.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Maingen builds simulations for industrial operations ($5 trillion slice of the US economy) so frontier labs can train models that actually run power plants, factories, and datacenters.", "one_liner": "Simulating Agents Running Industrial Companies", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784688239, "tags": [ "B2B", "Energy", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/maingen", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/maingen.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maingen", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1925382, "full_name": "Phillip Yan", "title": "Founder/CEO", "founder_bio": "CEO at Maingen (S26). Prev. 0x, power trading, Scale AI, Coinbase (YC S12). \nShipped exchange infra powering $150M+ TPV", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pyan/", "x_url": "https://x.com/PhillipYan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecf7bdd1531c6e539582b01d63661a59e9e880c5.jpg" }, { "user_id": 2362549, "full_name": "David Yang", "title": "Founder/CTO", "founder_bio": "CTO of Maingen (S26). Prev. Idler (S25), Scale AI, Reticular (F24), and Amazon.\nCited by Anthropic for ICLR2025 mech-interp paper.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-yang-ai/", "x_url": "https://x.com/djyang1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a0c350ff34675efa324bcf4a043c0999f005df3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109472, "title": "Maingen: Simulations of real industrial operations, so agents can run the physical world", "tagline": "Long horizon RL environments for the $5 trillion industrial economy", "body": "Hello everyone!\n\nPhillip and David here, founders of Maingen (YC S26).\n\n**TLDR: AI is moving to the industrial world. Maingen builds RL environments for industrials (a $5 trillion slice of the US economy) so frontier labs can train models that actually run factories.**\n\n**Problem**:\n\nWe believe the next capabilities frontier is the physical world: operating factories, power plants, and industrial infrastructure. But that data doesn't exist on the internet, but rather as tacit knowledge inside enterprises, on operations desks, and in CMMS systems and vendor portals.\n\n**What we do:**\n\n\n\nWe embed with operators in these industries and translate their decision making process into RL environments labs can train.\n\n**Our first public benchmark evaluates whether agents can run a solar portfolio [solarbench.maingen.ai](http://solarbench.maingen.ai).** We’re continuing in other areas like factories, and we’re already working with frontier labs.\n\n**Who we are**\n\nThe founders Phillip Yan and David Yang have previously built RL environments, worked in the energy industry, shipped software powering 150 million+ TPV, and have been cited by Anthropic.\n\n**Get Involved**\n\nMaingen is looking for researchers and industrial operators to help shape its next environments. We’d love to hear from you if you:\n\n1. Work on research on long-horizon **agents, RL environments, or physical-world capabilities**.\n2. Run operations at an industrial site or can introduce the team to someone who does\n\nReach out at [founders@maingen.ai](mailto:founders@maingen.ai)! We're always down for a coffee!\n\nThanks,\n\nPhillip and David", "url": "https://www.ycombinator.com/launches/STg-maingen-simulations-of-real-industrial-operations-so-agents-can-run-the-physical-world", "votes": 5, "created_at": "2026-08-07T16:00:00.073Z" } ] }, { "id": 32981, "name": "Marengo", "slug": "marengo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.png", "website": "https://marengox.com", "all_locations": "San Francisco, CA, USA", "long_description": "Marengo is the AI-native engineering firm automating engineering design, starting with data centers. We’ve generated $70K in revenue in our first month, with $4M in contracts to deliver.\r\n\r\nMarengo is backed by YC, Exor, Future Planet Capital, undisclosed $2B AUM family office, and other top-tier investors.\r\n\r\nOur team includes the former President & CEO of Saipem America ($3B+ P&L), former President of Exyte's Advanced Technology Facilities GBU ($6B+ P&L) and more.", "one_liner": "AI-Native Engineering Firm designing Data Centers ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1786181708, "tags": [ "Construction", "Design", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/marengo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/marengo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/marengox", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.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": 3204597, "full_name": "Emil Ares", "title": "Founder/CEO", "founder_bio": "Founded my first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emil-ares", "x_url": "https://x.com/emilares", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73aa5b2d36814a17c6bd8b5b3c2f6e725d9dd15e.jpg" }, { "user_id": 3410964, "full_name": "Gad Marconi", "title": "Founder/CTO", "founder_bio": "Ex-AI software engineer at Nuclear and Energy EPC. Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-TU Delft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gad-marconi", "x_url": "https://x.com/gadmarconi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70c93b94836254602a740fc2c01e50a852e1acbc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110380, "title": "Marengo: Accelerated Data Center Design", "tagline": "Marengo designs data centers at double the speed and half the cost with AI.", "body": "Hey everyone 👋! We're [Emil Ares](https://www.linkedin.com/in/emil-ares/) and [Gad Marconi](https://www.linkedin.com/in/gad-marconi/), co-founders of [Marengo](https://www.linkedin.com/company/marengox).\n\n**TL;DR** $6.7T is going towards data center capex up to 2030. It still takes 10-12 months to design data centers. Marengo is _the engineering firm for accelerated data center development._ Site Due Diligence through FEED and permitting design in half the traditional time and half the cost. We’ve developed internal AI design tools that our professional engineers use to accelerate their engineering design work. Customers receive validated outputs they can trust. Already working with some of the largest developers in the world.\n\n---\n\n**Our Launch Video: [https://youtu.be/57EbJ0Buz-U](https://youtu.be/57EbJ0Buz-U)**\n\n**Ask:** Are you a data center developer? Give us a site. Let Marengo show you what accelerated engineering looks like on one of your projects. Click [here](https://marengox.com/).\n\n**The problem\\[s\\]:**\n\nHuge **expenditure on design**: $6.7T of data center capex by 2030 - engineering design fees are a massive 12% of construction cost, meaning $800B in design spend alone.\n\nHuge **time waste**: engineering design takes 12-36 months (feasibility, due diligence, FEED/permitting design, detailed design); it’s done manually, meaning a design firm can only handle 3-4 different concepts per site, leading to suboptimal designs, worse decisions and higher risk.\n\n**The Solution:**\n\nAI alone doesn’t have the engineering, know-how or trust to be effective here. A step change is needed. Marengo is needed.\n\nTo customers, we’re **_the engineering firm for accelerated data center development_.** Internally, we have developed AI-native tooling designed for in-house use by professionals. These tools are:\n\n* **Physics-informed** - grounded in reality\n* **Deterministic** - the same specs will produce the same designs)\n* **Validated** - validated by our professional in-house engineers\n* **Data-driven** - we parallelise concept design generation, producing a virtually unlimited number of variations; we then run simulations to determine the best fit\n* **AI-native** - AI agents act as junior engineers accelerating manual processes so our professional engineers can focus on validation\n\n**How it works:**\n\nA customer gives us their plot of land; we leverage their heritage and requirements to deliver validated designs in **half the time** and **half the cost.**\n\n**Who We Are:**\n\n**Emil Ares** - Founded first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency. Published researcher on AI for complex systems engineering design.\n\n**Gad Marconi** - Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-AI software engineer at Nuclear and Energy EPC. Ex-TU Delft.\n\n**Ask:**\n\nIf any of these describe you or your organization, we'd love to talk:\n\n* A neocloud, hyperscaler, developer or similar\n* A professional engineer working in data centers - architects, civil, mechanical, electrical; we’re hiring!\n\n---\n\nVisit to learn more! Contact us at [contact@marengox.com](mailto:contact@marengox.com) ", "url": "https://www.ycombinator.com/launches/SiK-marengo-accelerated-data-center-design", "votes": 41, "created_at": "2026-08-12T21:30:00.399Z" } ] }, { "id": 33607, "name": "Atomarine", "slug": "atomarine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.png", "website": "https://atomarine.co", "all_locations": "San Francisco, CA, USA", "long_description": "We are building nuclear power delivery ships to power our floating compute barges at sea. Our systems are fully standalone, have better cooling, and avoid all the resource competition that leads to local community opposition. Our centralized manufacturing allows us to deploy anywhere on Earth, four times faster than on land.", "one_liner": "Floating nuclear powered data centers at sea.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784997775, "tags": [ "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/atomarine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/atomarine.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atomarine", "x_url": "https://x.com/Atomarine_co", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.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": 697566, "full_name": "Dimitris Koutentakis", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Atomarine. 4x MIT graduate. Previously Portfolio Management Associate at Arrowstreet Capital ($200B AUM), leading quantitative research on trade execution for $2B daily trades and broker selection across $180B annually. At Amazon, designed MILP optimization for electric fleet charging, quantifying $193M CapEx avoidance. MIT undergraduate, MEng in EECS, MS in Mech Eng, MBA from Sloan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dkoutentakis/", "x_url": "https://x.com/_dkout", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce898826845045bb5604021ca44fae86ccf728df.jpg" }, { "user_id": 3640819, "full_name": "Emile Germonpre", "title": "Founder/CTO", "founder_bio": "Co-founder at Atomarine (YC S26) || PhD in Nuclear Engineering + MSc in Chemical Engineering || Fulbright Scholar + Valedictorian of Ghent University's Engineering School", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emile-germonpr%C3%A9-766045245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8bf85b0bc0d2e7dce9804086a8546a8d7738964.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107426, "title": "Atomarine: Floating Nuclear Data Centers", "tagline": "Floating Nuclear Powered Data Centers At Sea", "body": "\\*\\*We're building floating data centers on barges powered by nuclear ships at sea.\\*\\*\n\n\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/5530961e-115c-4010-b749-b4de1a939afa)\n\n\n\\\n**TL;DR:** We move data center campuses offshore, away from communities, onto standardized barges we build on a single manufacturing line. That gets us near-free cooling, no interconnection queue, no local opposition, and 2x faster deployment. First gas-powered pilot ready by 2028.\n\nWhy now: AI has created unprecedented demand for compute and power that cannot be satisfied onshore.\n\n* Grid interconnection timelines are **approaching a decade**.\n* Data centers drive up the local cost of electricity, rent and land, and make water scarce. Community opposition rising from those reasons has **killed more than half of planned projects** since 2025.\n\nWhat we're building: standardized, plug-and-play data center barges, built on one manufacturing line and towed to site. Moving offshore gives us:\n\n* **No interconnection queue and no community impact** because our system operates standalone.\n* More **scalable architecture** that offers **faster deployment** and tighter-controlled deliverability due to centralized construction and repeated site licensing\n* **Lower energy cost** due to **less capacity overbuild** than onshore behind-the-meter and **cheaper financing** for repeatable manufacturing compared to on-site construction (financing = \\~2/3 of the lifetime cost of a nuclear project)\n* Virtually **free cooling** from seawater.\n\nTraction: We already have early partnerships in place across the two hardest parts of this build:\n\n* **Offshore design & construction:** working with established offshore barge designer/builders.\n* **Nuclear power:** partnerships with multiple SMR vendors.\n\nWhy us: We're a two-founder team out of MIT with the exact mix this needs.\n\n* [@Emile Germonpre](https://bookface.ycombinator.com/user/3640819) has a PhD in nuclear engineering.\n* [@Dimitris Koutentakis](https://bookface.ycombinator.com/user/697566) has a BS/MEng in EECS, an MS in Mechanical Engineering, and an MBA, all from MIT, with deep connections to the Greek shipping industry.\n\n**Our ask:** We're looking for intros to decision-makers in compute infrastructure or data center development we can sell to, VPs of Data Center Construction, Directors of Infrastructure, and hyperscaler / neocloud teams. If that's you or someone you know, reach out at [dimitris@atomarine.co](mailto:dimitris@atomarine.co) & [emile@atomarine.co](mailto:emile@atomarine.co).\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/f5ce89e6-1e1b-485f-8b35-0e8c5298287e)\n\n", "url": "https://www.ycombinator.com/launches/Rwg-atomarine-floating-nuclear-data-centers", "votes": 24, "created_at": "2026-07-26T20:34:19.952Z" } ] }, { "id": 34904, "name": "Viraj Aero", "slug": "viraj-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d151d30449f8a414c0594312df47a98193fd069b.png", "website": "https://www.viraj-aero.com/", "all_locations": "", "long_description": "Viraj Aero builds gas turbines that deliver both power and cooling water for data centers. It needs no grid connection and no water pipeline.\r\n\r\nBurning natural gas already produces water. Our patented system captures that water from the exhaust. Part of it cools the data center. The rest is turned into steam and injected back into the turbine. That gives up to 40% more power from the same fuel (cheaper compute) and cuts NOx emissions by up to 99%, which cuts permit approvals from years to weeks.\r\n\r\nWe're building a genset around our first-of-its-kind gas turbine. It fits in a 10-foot container and runs anywhere, even in the desert. That matters because two-thirds of new data centers are being built in water-stressed regions.\r\n\r\nWe first built this steam-injected turbine for aircraft, where carrying water tanks isn't an option and efficiency is critical. We're currently integrating our full-scale prototype into an aircraft. The team comes from GE, Rolls-Royce and Formula 1, and we're already working with Safran, one of the world's largest aircraft engine manufacturers.", "one_liner": "Next generation gas turbines for data centers & aviation", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789861657, "tags": [ "Hard Tech", "Energy", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/viraj-aero", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/viraj-aero.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/100603558", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d151d30449f8a414c0594312df47a98193fd069b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 2942294, "full_name": "Joseph Risson", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Viraj Aero, building next-generation gas turbines for data centers and aviation. Aerospace engineer from ISAE-SUPAERO, where I majored in turbomachinery and fluid dynamics. Before Viraj, I worked on hybrid-electric propulsion at Ascendance Flight Technologies, hydrogen propulsion at Beyond Aero (YC W22). Glider pilot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-risson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/528aeb1bb347ef66ae4b8f3a96dff0cbe5adfafb.jpg" }, { "user_id": 2942250, "full_name": "Mathilde Bouilloux", "title": "Founder/-", "founder_bio": "Co-Founder at Viraj Aero.\nEngineer from École des Ponts ParisTech (Institut Polytechnique de Paris). Previously led the development of 6 large-scale power projects totaling 120+ MW (solar, electric and hydrogen) at VINCI Concessions and Neoen, and structured infrastructure and energy investments as an Investment Analyst at Banque des Territoires (French state bank).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathilde-bouilloux/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb412b64e24d99aac836eb58fe0b575fee5130e1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35128, "name": "Talos", "slug": "talos-us", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "website": "https://www.talos-us.com/", "all_locations": "Baltimore, MD, USA", "long_description": "At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models. For each fault, we provide detailed analyses of the problem, exactly where and why it happened, as well as next steps teams should take. ", "one_liner": "Predictive maintenance for power infrastructure.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1787763466, "tags": [ "Deep Learning", "Hardware", "IoT", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/talos-us", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/talos-us.json", "year_founded": 2026, "city": "Baltimore", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ustalos/home/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3578807, "full_name": "Amitav Kohli", "title": "Founder/CEO", "founder_bio": "Founder at Talos. Currently studying Electrical and Computer Engineering at Carnegie Mellon, where he designs power systems for CMU's flagship disaster response snake robots in the Biorobotics Lab. Previously interned at Constellation Energy working on power engineering and predictive maintenance systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amitav-kohli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e66d2682bddfe16b77ad76d8757d605b29d390c.jpg" }, { "user_id": 3599718, "full_name": "Kevin Hwang", "title": "Founder/CTO", "founder_bio": "Founder at Talos. Undergraduate researcher at Johns Hopkins School of Medicine, designing transformer-based foundation models for physiological waveforms using 100+ TB of ICU data. Published 3 papers (100+ citations, NeurIPS Workshop) on few-shot GPT-4 prompting for question generation. BS Computer Science & Applied Math at Johns Hopkins.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-hwang-jh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3fc2d67cf1bbc75f880d1983e3f94ea3f7c67408.jpg" }, { "user_id": 3099707, "full_name": "Himani Musku", "title": "Founder/COO", "founder_bio": "Founder at Talos. Studying CS at Carnegie Mellon. Previously conducted AI research with MIT Lincoln Laboratory (first-author IEEE paper), UChicago, and Northwestern. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/himani-musku/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f87365bc7c1c512cea1fd8496fe7c74a3ee0c216.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35224, "name": "Micora", "slug": "micora", "former_names": [ "Micora Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc1316658ceceb944d2c372912cac6b6db9e5ec.png", "website": "https://micora.com", "all_locations": "San Francisco, CA, USA", "long_description": "Micora builds a solar-farm-in-a-box that can be shipped anywhere and built without specialized labor. We have designed a new type of solar farm micorgrid that is palletized, lightweight, and deployable. Our system autonomously builds 100kWp of capacity per day and is easily scalable to MWs of capacity which is a size currently only serviced by slow moving and at capacity EPCs. \r\n\r\nAs demand from data centers, advanced manufacturing, and electrification strains existing power infrastructure, the ability to deploy substantial generation quickly is becoming increasingly valuable and unavailable. We are the only company that services utility-scale power needs in weeks. ", "one_liner": "Microgrids in a box built anywhere in days", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789148682, "tags": [ "Energy Storage", "Robotics", "Solar Power" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/micora", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/micora.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/micoraenergy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc1316658ceceb944d2c372912cac6b6db9e5ec.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": 3916660, "full_name": "Ashten Akemoto", "title": "Founder/CEO", "founder_bio": "Design, manufactured, and shipped heat pumps as CTO of Normal Robotics, published a few papers on multi-agent robotics and, worked on autonomous space robotics missions with NASA JPL / Astrobotic. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashtenakemoto/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae33de47cf6ef0991b648e81be89a4b4eea2d00b.jpg" }, { "user_id": 4235384, "full_name": "Chris Choo", "title": "Founder", "founder_bio": "Co-Founder & CTO of Micora. Previously designed robot drivetrains and handled manufacturing at Serve Robotics, worked on semiconductors at Infineon, and deployed Solar/BESS at Tesla.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chris-choo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9f8cacb64f04f4abe06823a5c546d7cd3e39f77.jpg" }, { "user_id": 1408286, "full_name": "Frederik (Fredy) Mareels", "title": "Founder", "founder_bio": "Fredy is a co-founder of Micora. Previously, he worked in J.P. Morgan’s Healthcare Investment Banking group and was a founding team member at Pear Suite, an AI-enabled platform and provider network for community health workers (CHWs).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-mareels", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fdab93252435eafd388ed9da5f52fe7125f97ed.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35355, "name": "Invertix", "slug": "invertix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "website": "https://www.invertix.ai", "all_locations": "Munich, BY, Germany", "long_description": "The next constraint is not intelligence, it is the energy and operational cost of running it.\r\nWe deploy custom AI models inside critical infrastructure companies that ingest SCADA data, work orders, human interventions, operational data no public model has seen, grounded in physics-informed neural networks and differentiable simulators. \r\nThis creates a flywheel: more operator data → better process understanding → more efficient operations → cheaper energy → cheaper AI → more deployment → more data. \r\n\r\nhttps://www.youtube.com/watch?v=0uDH6pMn5OE\r\n\r\nAI compute doubles every 2.2 years. Data center demand grows from 415 to 945 TWh by 2030. Without near-zero energy cost, AI remains limited by human infrastructure. We are the layer that runs AI at zero energy cost.\r\nEnergy is a $10 trillion market. The infrastructure layer doesn't exist yet. \r\nWe are building it.", "one_liner": "Energy Superintelligence, AI that operates critical infrastructure", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789740763, "tags": [ "Solar Power", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/invertix", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/invertix.json", "year_founded": 2026, "city": "Munich", "country": "DE", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e09c46b000c5ff25f7042e775e76c8f61773eba1.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2057026, "full_name": "Joseph Perrotta", "title": "Founder/CEO", "founder_bio": "CEO at Invertix. Ex pro volleyball player, at 18 sold more than $17M of houses.\nPreviously at Cubbit, where they raised $25M. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-perrottaa", "x_url": "https://x.com/josephperrotta_?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c94847dab0f5d6b7a96ecfa63944ac1372b58ca.jpg" }, { "user_id": 2234234, "full_name": "Kaan Durmaz", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Invertix. Previously worked in computer vision, differential privacy and ai for chemistry. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kdurmaz/", "x_url": "https://x.com/kdurmazx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c13c2bd6f00b49f60836de5dce5ee88f099e7656.jpg" } ], "jobs": [], "news": [ { "title": "Invertix Labs launch", "url": "https://www.youtube.com/watch?v=0uDH6pMn5OE", "date": "Sep 18, 2026" } ], "launches": [ { "id": 116072, "title": "Invertix: Energy Superintelligence", "tagline": "Building AI agents to operate the world's energy infrastructure and data centers", "body": "Hey YC, we’re Joseph and Kaan.\n\nWe’re building **Energy Superintelligence: swarms of coordinated AI agents to operate energy infrastructure and data centers, carrying out work across entire organizations.**\n\nEnergy is one of the bottlenecks to scaling intelligence. Our vision is agents coordinating humans and other agents to operate, maintain, and build energy infrastructure worldwide, with applications extending to data centers.\n\n\n\n**How we got here**\n\nWe reached out to roughly 5,000 people in energy and had over 400 conversations. The same problem kept appearing: people were manually connecting fragmented data, investigating faults, and coordinating work across departments.\n\n**What we’re building**\n\nOur engineers work inside energy companies to map their data, workflows, responsibilities, and operating procedures. We combine that knowledge with an energy-specific ontology, giving specialized agents a shared understanding of the business and procedures they can follow. We see the same opportunity in data center operations: connecting equipment, maintenance procedures, suppliers, and on-site teams so agents can coordinate real work.\n\nThe system we’re building connects four things:\n\n1. **Onology:** equipment, telemetry, documents, contracts, and people in one connected model.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a14398e1-34a7-4399-a75f-c2ce6eb631c3)\n\n2. **AI Employees:** agents use different tools, correlate evidence across assets, and review each other’s findings. \n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/70610c1d-cc3e-4c13-a96e-38a1acc6777f)\n\n3. **Physical execution:** agents coordinate interventions with humans, incorporate field observations, and verify production recovery.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/7c425af9-22cb-44ec-9da9-dd79ce445a54)\n\n4. **Sofware builder:** We allow technical and non technical builders to build on top of the platform. creating visualizations, agents, ML models, all using the data of the platform and centered intelligence.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/8abcc1a0-1a6d-44cf-8da9-74dbef23944d)\n\n\nOur ambition is coordinated agents at every critical infrastructure company in the world, helping produce more energy and accelerate intelligence.\n\nWe believe **Energy Superintelligence is a necessary step toward ASI.**\n\n**The founding team**\n\n_17th of December 2026 - YC Mountain View_\n\n![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a7dc00e4-7377-4136-8b3e-a57e081e523b)\n\n* **Nicole:** our first hire; black-hole physics, Max Planck research with Nobel laureates, and surgical robotics at Harvard Med.\n* **Menelaos:** led TUM ai E-Lab; Siemens and TUM ML research.\n* **Nicolas:** previously built and raised for his deeptech startup; leads GTM with Joseph.\n* **Simon:** EX JetBrains, leads product and agent systems.\n* **Pietro:** Leads FDE, Early hire at a startup that raised $30M.\n* **Vishisht:** Cambridge & UPenn Research; first hire at an a16z-backed startup.\n\nWe’re deployed Autonomously across **\\~2 GW**, signing two of the largest utilities in the world, with interest from **30+ energy companies**. And are woking with partners that have over **50 GW**\n\n**Our ask:** introductions to operations leaders at utilities, energy asset owners, O&M companies, and data center operators, especially in the US.", "url": "https://www.ycombinator.com/launches/UC8-invertix-energy-superintelligence", "votes": 8, "created_at": "2026-09-28T07:00:00.116Z" } ] } ]