[ { "id": 289, "name": "JustSpotted", "slug": "justspotted", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://justspotted.com", "all_locations": "San Francisco, CA, USA; Copenhagen, Denmark", "long_description": "The artist-formerly-known-as Scoopler is a real-time search engine. It aggregates and organizes content being shared on the Internet as it happens, like eye-witness reports of breaking news, photos and videos from big events, and links to the hottest memes of the day. It does this by constantly indexing live updates from services including Twitter, Flickr, Digg, Delicious and more. When users search for a topic on Scoopler, they get the most relevant results, updated in real-time.\n\nScoopler has now become JustSpotted, a celebrity-tracking tool, meant to give fans an idea of what their favorite celebrities are up to at any given moment. JustSpotted, like Scoopler, is a data-aggregator, yet JustSpotted collects from Twitter, Facebook, and Foursquare -- alongside their own data they’ll be collecting from users who actual spot celebrities in the wild. All the information we aggregate is publicly available and you can even do a search on Twitter yourself and find sightings of celebrities. We're just the first people to organize it on a map and in such a way that it's easy to consume and ENJOY.”\n\nJustSpotted is about connecting with celebs. All the sightings on our website are naturally occurring events where an everyday person bumps into a celebrity as a chance occurrence. Back in the day, when you saw a celebrity while you were out and about the first thing you would have done was phone or text a friend. In the new age of social media, the first thing you do is share it on Facebook or Twitter. This phenomena is already happening.\n\nThe service, which launches the week of October 11, 2010, is the latest creation by AJ Asver, Dilan Jarawardane and Benjamin Tauber.", "one_liner": "Acquired by Google in 2011", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1326791006, "tags": [ "Artificial Intelligence", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2008", "status": "Acquired", "industries": [ "Consumer", "Content" ], "regions": [ "United States of America", "Denmark", "America / Canada", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/justspotted", "api": "https://yc-oss.github.io/api/batches/summer-2008/justspotted.json" }, { "id": 1583, "name": "Skyways", "slug": "skyways", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6732fcb5c7c414475034015c2f1a9fa75a9f12a7.png", "website": "http://skyways.com", "all_locations": "Austin, TX, USA", "long_description": "", "one_liner": "Creating a new form of air transportation to advance our civilization", "team_size": 33, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1493063490, "tags": [ "Air Taxis", "Robotics", "Computer Vision", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2017", "status": "Active", "industries": [ "Industrials", "Drones" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/skyways", "api": "https://yc-oss.github.io/api/batches/summer-2017/skyways.json" }, { "id": 12091, "name": "Superb AI", "slug": "superb-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/557ab62b86d1ab472dd3665292fc28d7191fb8b9.png", "website": "https://www.superb-ai.com", "all_locations": "San Mateo, CA, USA", "long_description": "Superb AI is a leading computer vision platform and professional services provider that provides enterprise-grade, end-to-end MLOps and DataOps workflows to accelerate the adoption and development of data-centric AI. Through the practical application of AI-based automation, Superb AI helps teams manage the entire ML lifecycle more efficiently, from data annotation to curation, model training, and deployment, while ensuring optimal data accuracy and consistency.", "one_liner": "Superb AI provides end-to-end computer vision MLOps platform", "team_size": 65, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1541714572, "tags": [ "AIOps", "Artificial Intelligence", "SaaS", "B2B", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/superb-ai", "api": "https://yc-oss.github.io/api/batches/winter-2019/superb-ai.json" }, { "id": 24291, "name": "DigiBuild", "slug": "digibuild", "former_names": [ "DigiBuild Software Inc.", "DigiBuild Software" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/619bfcc11ede71a157f8463466ae0bd8ddd6cc7e.png", "website": "https://digibuild.com", "all_locations": "Miami, FL, USA", "long_description": "Our platform fixes construction's broken supply chain. 70% of construction projects finish late or over budget; procuring and managing building materials is the number 1 reason why. \r\n\r\nWe use LLMs to buy and manage building materials for large construction companies.\r\nWith DigiBuild, construction contractors can find, order, track and manage their materials from the supplier to the job site. We help customers save money, staff time, and improve construction project schedules.\r\n\r\nWe work with the top real estate developers, general contractors, and subcontractors in the US. We manage billions in building material volume annually in the 2nd largest market in the world.", "one_liner": "We buy & track building materials for construction companies.", "team_size": 15, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1626214444, "tags": [ "Artificial Intelligence", "SaaS", "Supply Chain", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/digibuild", "api": "https://yc-oss.github.io/api/batches/summer-2021/digibuild.json" }, { "id": 24573, "name": "Telmai", "slug": "telmai", "former_names": [ "Telm.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/263d4d84c92376ed8c755e0f7348f5c855dc3ec8.png", "website": "https://www.telm.ai/", "all_locations": "San Francisco, CA, USA; Foster City, CA, USA; Remote", "long_description": "Telmai is a Data observability and Data Quality platform designed for Open architecture. It monitors data stored/managed in any data system, such as a data lake or data warehouse, in its raw format at scale without sampling", "one_liner": "Automated data observability and quality for Data Lake", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1629822671, "tags": [ "Analytics", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/telmai", "api": "https://yc-oss.github.io/api/batches/summer-2021/telmai.json" }, { "id": 25402, "name": "Rownd", "slug": "rownd", "former_names": [ "Rownd", "LlamaFarm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c9dcd6e10984a18f91f153e7efc538957c387fd.png", "website": "https://rownd.ai", "all_locations": "Raleigh, NC, USA", "long_description": "Rownd AI builds fully autonomous drones that use local edge intelligence and global LTE/5G/SatCom failover to eliminate the 1:1 pilot bottleneck anywhere on earth or space. We are currently field-deployed with active customers across U.S. Special Operations Command (SOCOM) via our defense business line, ArcEdge AI. Operating out of Raleigh, NC and Wisconsin, we leveraged our team's background in mobile hardware optimization and zero-trust architectures to build true cognitive autonomy directly onto physical aircraft. While we are heavily focused on defense technology today, our ultimate mission is scaling this physical autonomous infrastructure across commercial enterprise edge applications.", "one_liner": "Fully autonomous defense solutions for the global edge.", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1643295526, "tags": [ "Drones", "Open Source", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Drones" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rownd", "api": "https://yc-oss.github.io/api/batches/winter-2022/rownd.json" }, { "id": 25590, "name": "Emobi", "slug": "emobi", "former_names": [ "Laegacy Inc.", "AeonCharge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d33f8249b3bdf459257e46d019d4e6687e56a9c0.png", "website": "https://www.emobi.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Emobi is a unified legal, financial, and technical infrastructure that delivers seamless, secure, and reliable EV charging across networks—powering apps, fleets, and automakers while maximizing charger utilization. Our secure, fully automated charging technology, JustPlug, works instantly with no special hardware, software, or setup, making EV charging effortless.\r\n\r\nWith 122,000+ EV chargers integrated across the U.S. and Canada, Emobi is recognized as the largest EV charging ecosystem in North America. Backed by two provisional patents and 15+ enterprise customers, Emobi's technology is also trusted by the Department of Energy (DoE) and the Department of Transportation (DoT). To learn more, visit www.emobi.ai.", "one_liner": "A single point integration for secure and automated EV charging.", "team_size": 9, "industry": "B2B", "subindustry": "B2B", "launched_at": 1642021051, "tags": [ "Artificial Intelligence", "API", "Energy", "Electric Vehicles", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/emobi", "api": "https://yc-oss.github.io/api/batches/winter-2022/emobi.json" }, { "id": 26704, "name": "Two Dots", "slug": "two-dots", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06c738449ceac7bc3068c3a0510a285b6078503d.png", "website": "https://www.twodots.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're building an AI consumer underwriting automation agent. ", "one_liner": "AI fraud prevention and underwriting agent", "team_size": 28, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1652906962, "tags": [ "Artificial Intelligence", "Fintech", "Real Estate", "B2B", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/two-dots", "api": "https://yc-oss.github.io/api/batches/summer-2022/two-dots.json" }, { "id": 29046, "name": "Elythea", "slug": "elythea", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd032cddcdb63dd5b12b5be82827d23e79135094.png", "website": "https://elythea.org/", "all_locations": "San Jose, CA, USA", "long_description": "Over 80% of maternal mortalities were preventable with earlier intervention. Currently, doctors miss >50% of moms who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.\r\n\r\nElythea's proprietary ML models catch life-threatening obstetric complications (like postpartum hemorrhage, preeclampsia/eclampsia, emergency c-section, preterm labor, and more) as soon as the first visit. We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors months in advance to intervene and prevent complications from ever happening.\r\n\r\nOur global clinical studies have shown that we can catch 3x more complications than clinical judgment 10x sooner. ", "one_liner": "ML to predict and prevent pregnancy complications ", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1691977453, "tags": [ "Health Tech", "Digital Health", "Women's Health", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/elythea", "api": "https://yc-oss.github.io/api/batches/summer-2023/elythea.json" }, { "id": 29088, "name": "Cair Health", "slug": "cair-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/174cf352bddd34701bef4a958ce1e21e7d49de3d.png", "website": "https://www.cairhealth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cair Health empowers billing companies, care management platforms, EHRs, offshore BPOs, provider groups, and specialty pharmacies with AI-driven RCM solutions. Our suite of AI Agents helps RCM teams streamline operations, reduce manual costs, and improve consistency—while maintaining full control over core workflows. Cair is trusted by 100+ practices across the country — including iconic VC-backed digital health startups, leading specialty EHRs, and some of the largest billing companies and BPOs\r\n\r\nBacked by Y Combinator, Foundation Capital, Soma Capital, Translink Capital & many others.. ", "one_liner": "AI Agents for Healthcare RCM", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1690913334, "tags": [ "Artificial Intelligence", "Health Tech", "Healthcare", "Health Insurance", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cair-health", "api": "https://yc-oss.github.io/api/batches/summer-2023/cair-health.json" }, { "id": 29125, "name": "truemetrics", "slug": "truemetrics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cd7b0f7663e8989ac828e2eeebe6e1968813d3.png", "website": "https://www.truemetrics.io/", "all_locations": "Berlin, Berlin, Germany", "long_description": "truemetrics helps logistics companies to find their customer's faster. By detecting and mapping entrances, we help GLS, a key logistics company in Europe, save 32.7 seconds on each delivery.\r\n\r\nThe way couriers navigate is broken.\r\n\r\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\r\n\r\ntruemetrics provides parking positions and entrance locations to enable faster drop-offs. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\r\n", "one_liner": "We show couriers where to park and enter a building.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1688493255, "tags": [ "Artificial Intelligence", "Delivery", "Logistics", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/truemetrics", "api": "https://yc-oss.github.io/api/batches/summer-2023/truemetrics.json" }, { "id": 29503, "name": "Dragoneye", "slug": "dragoneye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/354a00433e0332ff17869b4c08d6ee8d10b8a232.png", "website": "https://dragoneye.ai/", "all_locations": "New York, NY, USA", "long_description": "Dragoneye helps devs build their custom video detection models in less than 5 minutes. These models can then be used to power apps and features that use images and videos. No more arduous process of annotating any training data or doing any machine learning work themselves.\r\n\r\nTry out our demo today at https://playground.dragoneye.ai/ !", "one_liner": "Custom video detection models in less than 5 minutes", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1705986923, "tags": [ "Developer Tools", "Computer Vision", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/dragoneye", "api": "https://yc-oss.github.io/api/batches/winter-2024/dragoneye.json" }, { "id": 29682, "name": "RunLocal AI", "slug": "runlocal-ai", "former_names": [ "Neuralize", "RunLocal" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f47cbbc26af6f2d783af0166e54e51212101bcc.png", "website": "https://runlocal.ai", "all_locations": "London, England, United Kingdom", "long_description": "RunLocal is the first AI-native platform for optimizing ML model inference on edge hardware (like Nvidia Orin and Qualcomm)\r\n\r\nOur AI agent automates on-device model performance debugging and optimization. Our web platform replaces brittle validation scripts and manual experiment tracking.\r\n\r\nWith RunLocal, you deploy more capable/efficient models on your target hardware with a fraction of the engineering effort.\r\n\r\nWe’re working with market-leaders in autonomous vehicles, robotics, drones and smart cameras. We're backed by investors like Y Combinator and 468 Capital.", "one_liner": "The first AI agent for optimizing ML model inference on edge hardware", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1722617907, "tags": [ "Developer Tools", "Computer Vision", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/runlocal-ai", "api": "https://yc-oss.github.io/api/batches/summer-2024/runlocal-ai.json" }, { "id": 29950, "name": "Pipeshift", "slug": "pipeshift", "former_names": [ "Xylem AI", "Pipeshift AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6dc8136429eadec250bda86f1102143f81a24beb.png", "website": "https://pipeshift.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pipeshift helps engineering teams run real-time inference in production. We offer optimized runtimes to meet latency/throughput SLAs, paired with infrastructure orchestration that auto-scales and routes workloads across clusters and regions at cost-effective rates.", "one_liner": "Ultra-low latency inference cloud for real-time workloads", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1717199794, "tags": [ "AIOps", "Artificial Intelligence", "Infrastructure", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pipeshift", "api": "https://yc-oss.github.io/api/batches/summer-2024/pipeshift.json" }, { "id": 30431, "name": "Feyn", "slug": "feyn", "former_names": [ "Chonkie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7711f83eeb988737aadd19d8943c753d2e4085f4.png", "website": "https://www.usefeyn.com", "all_locations": "San Francisco, CA, USA", "long_description": "Feyn is an end-to-end service for building custom models from your data. Our models learn how your product actually works, handle the rare cases that are costly to get wrong, and grow sharper the longer they run.\r\n\r\nOur engineers start by reviewing your current setup and agreeing on what quality means for your workflow. Then we train a model on your data. Once it ships, new cases feed back into training so the model keeps improving. \r\n\r\nThe result is a model that runs faster, improves with use, and is yours to own.", "one_liner": "Custom models trained on your data", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1741421145, "tags": [ "Artificial Intelligence", "Developer Tools", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/feyn", "api": "https://yc-oss.github.io/api/batches/spring-2025/feyn.json" }, { "id": 30501, "name": "Cartpole", "slug": "cartpole", "former_names": [ "Prophet", "Jazzberry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/154693ac9eca92a2d8f93ead7153a0858c38d2b3.png", "website": "https://cartpole.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're creating reinforcement learning environments for training frontier models.", "one_liner": "Building reinforcement learning environments", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1744600545, "tags": [ "Artificial Intelligence", "Reinforcement Learning", "Data Labeling", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cartpole", "api": "https://yc-oss.github.io/api/batches/spring-2025/cartpole.json" }, { "id": 30559, "name": "Godela", "slug": "godela", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe1589548b774d33ca4f20c5020467a9627f9c13.png", "website": "http://godela.ai", "all_locations": "San Francisco, CA, USA", "long_description": "What if every experiment you wanted to run could be modeled using AI? \r\nGodela is an AI-powered physics engine that gives engineers faster, cheaper replacement to simulations and physical prototypes.\r\nNo set up, no wait. Just ask—and get simulation quality result.\r\n", "one_liner": "AI Physics Engine to replace simulations and prototypes", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747413596, "tags": [ "Artificial Intelligence", "Hard Tech", "Hardware", "Aerospace", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/godela", "api": "https://yc-oss.github.io/api/batches/spring-2025/godela.json" }, { "id": 31019, "name": "Ndea", "slug": "ndea-com", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a1310dd1344aa031a62430dad084db50b7229d.png", "website": "https://ndea.com", "all_locations": "Remote", "long_description": "Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture.\r\n\r\n# AI for Scientific Advancement\r\n\r\nUnlike all life before us, humanity's ascent is a story of ingenuity, not just biological evolution. Our progress has been driven by the curiosity to acquire knowledge, the ability to pass it on, and an intrinsic drive to innovate. We build technology which gives us leverage beyond our biology.\r\n\r\nWe stand at the top of a knowledge and technology colossus that we collectively created over the past ten thousand generations. Scientific progress has helped us overcome burdens that long defined human life — famines, plagues, and widespread illiteracy. Science will continue to redefine the boundaries of the human condition.\r\n\r\nToday, the acceleration of scientific progress hinges on one factor: AI capable of independent invention and discovery. This capacity is the gateway to advancements beyond our wildest imagination.\r\n\r\n# A New Research Lab\r\n\r\nWe're starting Ndea — an AI research and science lab. The name - like 'idea' with an 'n' - is inspired by the Greek concepts ennoia (intuitive understanding) and dianoia (logical reasoning), capturing our first goal to merge deep learning with program synthesis.\r\n\r\nNdea is entirely focused on developing and operationalizing AGI to realize unprecedented scientific progress in our lifetime for the benefit of all current and future generations.\r\n\r\nBuilding AGI alone is a monumental undertaking, but our mission is even bigger. We're creating a factory for rapid scientific advancement — a factory capable of inventing and commercializing N ideas.\r\n\r\nFrom our vantage point today, we see many 'known' frontiers like self-driving vehicles, drug discovery, sustainable energy, robotics, and space exploration. While AGI will benefit all of these, the most exciting adventure lies in the 'unknown'. AGI promises discoveries and progress we cannot imagine today.", "one_liner": "Building AGI that can innovate.", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1772669917, "tags": [ "Artificial Intelligence", "Deep Learning", "Hard Tech", "Remote Work", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ndea-com", "api": "https://yc-oss.github.io/api/batches/winter-2026/ndea-com.json" }, { "id": 31516, "name": "Expanse", "slug": "expanse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26ca5cac6157441dd12d0352f7d3fd4a77c4c39a.png", "website": "https://expanse.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time).\r\n\r\nWe’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.", "one_liner": "Unlock wasted GPU capacity.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777849866, "tags": [ "Deep Learning", "B2B", "Infrastructure", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/expanse", "api": "https://yc-oss.github.io/api/batches/spring-2026/expanse.json" } ]