{"id":"41097187-969e-4df7-adb6-330d1c60e981","slug":"gen-0","name":"GEN-0 (and GEN-1)","description":"Generalist AI (founded 2024 in San Mateo, California by chief executive Pete Florence, a former DeepMind senior research scientist, with Andy Zeng, also ex-Google DeepMind, and Andrew Barry, ex-Boston Dynamics, and backed by Nvidia) builds embodied foundation models trained directly on raw physical-interaction data. Its GEN-0 model, published in a November 4, 2025 research blog, was tested at one to ten-plus billion parameters on more than 270,000 hours of real manipulation trajectories growing by roughly 10,000 hours a week, and reports a scaling phase transition around 7 billion parameters; a successor, GEN-1, followed in April 2026. The models are proprietary with no open weights. The registry records the brain at research maturity because its capability is demonstrated rather than deployed: it runs across 6-, 7-, and 16-plus-degree-of-freedom semi-humanoid robots in lab and benchmark settings, but there is no named hardware partner, customer, or production deployment, and the robot wiring is in-house and captive. The artifact is real and substantive enough to clear the registrable bar even without peer review, but its benchmark numbers, including a 99-percent task-success claim, the 270,000-hour figure, and the scaling claims, are self-reported and not independently reproduced, there is no arXiv paper or formal model card, the funding amount and valuation are undisclosed, and there is no named robot-platform partnership.","brainType":"foundation-model","isOpen":false,"maturityStage":"research","architecture":"Embodied/manipulation foundation model (generalist VLA-class) trained on raw physical-interaction data; ~7B-param scaling phase transition reported.","reviewStatus":"reviewed","sources":[{"url":"https://generalistai.com/blog/nov-04-2025-GEN-0","title":"Generalist GEN-0 embodied foundation model (270k+ hrs data; 7B scaling phase transition)","sourceName":"Generalist AI (official)"},{"url":"https://techcrunch.com/2025/03/19/a-key-deepmind-robotics-researcher-left-google-and-nvidia-has-already-backed-his-stealth-startup/","title":"Generalist AI (founders ex-DeepMind/BD; Nvidia-backed stealth startup)","sourceName":"TechCrunch"},{"url":"https://siliconangle.com/2026/04/06/generalist-releases-gen-1-highly-capable-robotic-intelligence-ai-foundation-model/","title":"Generalist releases GEN-1 robotic-intelligence foundation model (Apr 2026)","sourceName":"SiliconANGLE"}],"keyFacts":[{"label":"Model","value":"GEN-0 (Nov 4 2025): embodied foundation model trained directly on raw physical-interaction data; tested at 1B/6B/7B/10B+ params; >270,000 hrs of real manipulation trajectories growing ~10,000 hrs/week; reports a 'scaling phase transition' at ~7B params. GEN-1 (Apr 2026) successor. Proprietary, no open weights."},{"label":"Deployed wiring: demonstrated, NOT deployed","value":"Runs across 6-DoF, 7-DoF, and 16+-DoF semi-humanoid robots in lab/benchmark settings. NO named hardware partner, customer, or production deployment. Robot wiring is in-house/captive."},{"label":"Provider","value":"Generalist AI (founded 2024, San Mateo CA; founders Pete Florence (CEO, ex-DeepMind), Andy Zeng (ex-Google DeepMind), Andrew Barry (ex-Boston Dynamics); Nvidia-backed)."},{"label":"Cap-flag","value":"Benchmark numbers (99% task success, 270k hrs, scaling claims) are SELF-REPORTED, not independently reproduced; no arXiv/peer-reviewed paper or formal model card (self-published research blog). Funding amount/valuation undisclosed; no named robot-platform partnership; GEN-1 SOTA-comparison claims unverified."}],"aliases":["GEN-0","GEN-1","Generalist GEN-0"],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-06-03T20:51:58.067Z","updatedAt":"2026-06-03T20:51:58.067Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/gen-0","url":"https://registry.deploy.report/brains/gen-0","name":"GEN-0 (and GEN-1)","alternateName":["GEN-0","GEN-1","Generalist GEN-0"],"description":"Generalist AI (founded 2024 in San Mateo, California by chief executive Pete Florence, a former DeepMind senior research scientist, with Andy Zeng, also ex-Google DeepMind, and Andrew Barry, ex-Boston Dynamics, and backed by Nvidia) builds embodied foundation models trained directly on raw physical-interaction data. Its GEN-0 model, published in a November 4, 2025 research blog, was tested at one to ten-plus billion parameters on more than 270,000 hours of real manipulation trajectories growing by roughly 10,000 hours a week, and reports a scaling phase transition around 7 billion parameters; a successor, GEN-1, followed in April 2026. The models are proprietary with no open weights. The registry records the brain at research maturity because its capability is demonstrated rather than deployed: it runs across 6-, 7-, and 16-plus-degree-of-freedom semi-humanoid robots in lab and benchmark settings, but there is no named hardware partner, customer, or production deployment, and the robot wiring is in-house and captive. The artifact is real and substantive enough to clear the registrable bar even without peer review, but its benchmark numbers, including a 99-percent task-success claim, the 270,000-hour figure, and the scaling claims, are self-reported and not independently reproduced, there is no arXiv paper or formal model card, the funding amount and valuation are undisclosed, and there is no named robot-platform partnership.","identifier":"41097187-969e-4df7-adb6-330d1c60e981","applicationCategory":"foundation-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"research","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":3,"primary_source_types":["primary-company-ir","secondary-industry-publication"]}}}