[ { "id": 982, "name": "Embark Trucks", "slug": "embark-trucks", "former_names": [ "Varden Labs", "Embark Trucks" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f54038f84e639bce5c45d1756018b94f17f6125.png", "website": "http://embarktrucks.com", "all_locations": "San Francisco, CA, USA", "long_description": "Embark Technology develops self-driving truck software. \r\n\r\nEmbark was the first self-driving truck company to achieve an autonomous coast-to-coast drive, the first to reach 100,000 miles driven on public roads, and the first to open a network of transfer points.\r\n\r\nEmbark went public on NASDAQ in 2021 and was acquired by Applied Intuition in 2023.", "one_liner": "Self-driving semi trucks.", "team_size": 300, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1447199416, "tags": [ "Autonomous Trucking" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Public", "industries": [ "Industrials", "Automotive" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/embark-trucks", "api": "https://yc-oss.github.io/api/batches/winter-2016/embark-trucks.json" }, { "id": 1273, "name": "Starsky Robotics", "slug": "starsky-robotics", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://www.starsky.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Starsky Robotics is an autonomous truck startup aiming to make our roads safer while providing truck drivers with jobs that bring them back to their families.\n\nLearn more at: www.starsky.io\n\nInterested in joining the team? Apply at: https://jobs.lever.co/starskyrobotics?", "one_liner": "Driverless Trucks, for real.", "team_size": 11, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1461732015, "tags": [ "Autonomous Trucking" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2016", "status": "Inactive", "industries": [ "Industrials", "Automotive" ], "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/starsky-robotics", "api": "https://yc-oss.github.io/api/batches/summer-2016/starsky-robotics.json" }, { "id": 1452, "name": "lvl5", "slug": "lvl5", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.lvl5.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "HD maps for self-driving cars.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1478140813, "tags": [ "Autonomous Trucking", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Acquired", "industries": [ "Industrials", "Automotive" ], "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/lvl5", "api": "https://yc-oss.github.io/api/batches/winter-2017/lvl5.json" }, { "id": 1739, "name": "Observant AI", "slug": "observant-ai", "former_names": [ "Buglife", "Observant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e800cad3bc0abdaeb2231fae95e02400fb25188.png", "website": "https://www.observantai.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Observant AI is an iPhone-based driver monitoring system for commercial fleets. It uses machine learning + iPhone's depth sensors to detect unsafe driver behavior, prevent accidents, and save lives.", "one_liner": "iPhone-based driver monitoring for commercial fleets.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1509562882, "tags": [ "Autonomous Trucking", "Hard Tech", "Machine Learning", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/observant-ai", "api": "https://yc-oss.github.io/api/batches/winter-2018/observant-ai.json" }, { "id": 1797, "name": "Viaopt", "slug": "viaopt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4110b8cac3188390f99c836f3a6f0547d8bb25d8.png", "website": "http://www.viaopt.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Uber pool for corporate trucking fleets", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1510030963, "tags": [ "Autonomous Trucking", "Logistics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Inactive", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/viaopt", "api": "https://yc-oss.github.io/api/batches/winter-2018/viaopt.json" }, { "id": 12010, "name": "Switchboard", "slug": "switchboard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfaf68c602e9d13793a1ce6bf58310eff1ce2121.png", "website": "https://www.onswitchboard.com", "all_locations": "Vancouver, BC, Canada", "long_description": "Switchboard uses real-time data obtained by Switchboard devices installed on commercial vehicles to provide visibility and reporting on freight location, routing availability, and other related data important to manage freight movement across North America.", "one_liner": "Technology for Trucking", "team_size": 24, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1541477006, "tags": [ "Autonomous Trucking", "SaaS", "B2B", "Logistics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Canada", "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/switchboard", "api": "https://yc-oss.github.io/api/batches/winter-2019/switchboard.json" }, { "id": 12267, "name": "Mars Auto", "slug": "mars-auto", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5295faf44c40fbb90c24090479454a928300bbd.png", "website": "https://marsauto.com", "all_locations": "Seoul, Seoul, South Korea", "long_description": "Mars Auto is building autonomous trucks to fully automate long-haul freight shipping.", "one_liner": "Autonomous trucks to fully automate long-haul freight shipping", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1544040063, "tags": [ "Artificial Intelligence", "Autonomous Trucking", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "Industrials", "Automotive" ], "regions": [ "South Korea", "East Asia" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mars-auto", "api": "https://yc-oss.github.io/api/batches/winter-2019/mars-auto.json" }, { "id": 13085, "name": "Teleo", "slug": "teleo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27eb2aa5b06962471ae4c326b326810f092de134.png", "website": "http://www.teleo.ai", "all_locations": "San Francisco, CA, USA; Palo Alto, CA, USA", "long_description": "Teleo converts heavy equipment, like dozers, trucks, and loaders, into supervised autonomous robots. This enables a single operator to remotely operate multiple machines while sitting at a remote control center, unlocking productivity gains for the General Contractor.", "one_liner": "Supervised Autonomous Heavy Equipment", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1583906560, "tags": [ "Autonomous Trucking", "Hard Tech", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Acquired", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/teleo", "api": "https://yc-oss.github.io/api/batches/winter-2020/teleo.json" }, { "id": 21811, "name": "Hypermile", "slug": "hypermile", "former_names": [ "Creation Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b25c7b5a70e0fab68abb8837d04d772f89ba6623.png", "website": "https://hypermile.ai", "all_locations": "London, England, United Kingdom", "long_description": "Hypermile is on a mission to improve trucking efficiency, sustainability and safety by developing an AI driver assistance system ๐Ÿš› ๐ŸŒŽ๐ŸŒฑ.\r\n\r\nToday, fuel is the main cost component for logistics operators, accounting for >1/3 of all operating costs. Driving behavior is a key factor affecting overall fuel consumption and can increase fuel use by up to 35%. However, current solutions are not cost effective, so logistics operators are constantly looking for new solutions. \r\n\r\nIn addition, logistics operators are under huge sustainability pressure, as Heavy Goods Vehicles (HGVs) are responsible for 16% of the UK's transport emissions but only 5% of the miles travelled. While electric vehicle sales for passenger vehicles are on the rise, the same can't be said for long-haul HGVs due to high initial cost and limited range, making it impractical for logistic purposes. \r\n\r\nWith this problem in mind, we aim to leverage the latest AI techniques to improve the fuel efficiency of diesel trucks today, and increase the range of zero-emission trucks of the future. \r\n\r\nOur product Hypermile Co-Pilot is a retrofittable AI cruise control for commercial vehicles focused on controlling the speed of the truck efficiently. We have trained the AI algorithms to learn the best techniques for saving fuel: anticipating how traffic flow will change, optimising speed based on the road gradient and maximizing vehicle coasting. As a result, we can reduce diesel consumption by 11% and extend the range of battery-electric vehicles by 15%. The long term vision is to incrementally build higher levels of autonomy with the next milestone being a Level-3 autonomous trucking solution. \r\n\r\nThe company was founded in May 2020 and raised a $1.5M pre-seed round in May 2021 from Y Combinator, Greg Brockman (CTO of OpenAI), Luc Vincent (former Executive VP of Autonomous Driving at Lyft Level 5) and others. Weโ€™ve received a number of R&D grants from Innovate UK, Department for Transport and Horizons 2020. Weโ€™re currently a team of 10 across Commercial, Product and Engineering (including 4. sub-teams cloud software, machine learning, automotive software and electronics).\r\n", "one_liner": "Driver co-pilot to make trucking more efficient", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1615568678, "tags": [ "Autonomous Trucking", "Computer Vision", "Logistics", "Climate" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "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/hypermile", "api": "https://yc-oss.github.io/api/batches/summer-2020/hypermile.json" }, { "id": 22708, "name": "Flux Auto", "slug": "flux-auto", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1782782e9f339f3d5ae2b7213cb07b675c29d2f7.png", "website": "https://fluxauto.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Flux is building physical AI to automate material movement in warehouses and factories on legacy vehicle fleets. Using Flux's solutions customers can reduce their dependency on human drivers, while also increasing productivity and reducing operating costs. \r\n\r\nFlux is currently deploying with customers like Walmart, Daimler, Bajaj, Cummins, Mahindra Logistics across warehouses, fulfillment centers and factories.", "one_liner": "Physical AI for Warehouses and Factories", "team_size": 56, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1647888445, "tags": [ "Artificial Intelligence", "Autonomous Trucking", "Hard Tech", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "India", "South Asia", "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/flux-auto", "api": "https://yc-oss.github.io/api/batches/winter-2021/flux-auto.json" }, { "id": 22876, "name": "Hermes Robotics", "slug": "hermes-robotics", "former_names": [ "Hermes Robotics Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba95dd007177877192769751ade47405b6650136.png", "website": "http://hermes-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous street sweeping as a service by retro-fitting vehicles", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1614620062, "tags": [ "Autonomous Trucking", "Hard Tech", "Robotics", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/hermes-robotics", "api": "https://yc-oss.github.io/api/batches/winter-2021/hermes-robotics.json" } ]