{"id":"9cb356b4-d56c-42cd-a427-6af7d57f12ae","name":"General Intuition","slug":"general-intuition","description":"New York-based AI research lab spun out of Medal (the gaming clip-sharing platform) that trains foundation models for physical AI using action-labeled video game data. The company builds both action models (which decide what actions to take) and world models (which predict outcomes of actions), betting that gameplay clips with embedded controller inputs provide a scalable training signal for embodied AI. Its models have been demonstrated controlling both virtual game agents and physical quadrupedal robots.","status":null,"founded":2015,"hq":"New York, NY, United States","fundingTotal":"1094000000","type":"brain","reviewStatus":"reviewed","sources":[{"url":"https://www.therobotreport.com/general-intuition-raises-320m-uses-video-game-data-train-robots/","title":"General Intuition raises $320M to use video game data to train robots","sourceName":"The Robot Report"}],"keyFacts":[{"label":"Funding","value":"$320M Series A"},{"label":"Training approach","value":"Video game clips with embedded action labels"},{"label":"Output","value":"World models + agentic models for physical environments"},{"label":"CEO","value":"Pim de Witte"},{"label":"Co-founders","value":"Eloi Alonso, Adam Jelley, Vincent Micheli"},{"label":"CPO","value":"Kent Rollins"},{"label":"Total Funding","value":"\\$454M (\\$134M seed + \\$320M Series A)"},{"label":"Valuation","value":"\\$2.3B (post-money, June 2026)"},{"label":"Lead Investor","value":"Khosla Ventures"},{"label":"Other Investors","value":"General Catalyst, Jeff Bezos (Bezos Expeditions), Eric Schmidt, Innovation Endeavors, Hedosophia, Nico Rosberg"},{"label":"Compute Partner","value":"CoreWeave"},{"label":"Parent Company","value":"Spun out of Medal (gaming clip platform)"},{"label":"API Status","value":"Commercial API in limited preview; broader release planned summer 2026"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"atsProvider":null,"atsSlug":null,"createdAt":"2026-07-02T14:59:48.468Z","updatedAt":"2026-07-03T15:19:15.413Z","jsonLd":{"@context":"https://schema.org","@type":"Organization","@id":"https://registry.deploy.report/companies/general-intuition","url":"https://registry.deploy.report/companies/general-intuition","name":"General Intuition","description":"New York-based AI research lab spun out of Medal (the gaming clip-sharing platform) that trains foundation models for physical AI using action-labeled video game data. The company builds both action models (which decide what actions to take) and world models (which predict outcomes of actions), betting that gameplay clips with embedded controller inputs provide a scalable training signal for embodied AI. Its models have been demonstrated controlling both virtual game agents and physical quadrupedal robots.","identifier":"9cb356b4-d56c-42cd-a427-6af7d57f12ae","foundingDate":"2015","address":"New York, NY, United States","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":null,"lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":1,"primary_source_types":["secondary-trade-publication"]}}}