{"id":"d2e20728-60c3-445c-b060-98f965fca4ba","slug":"genesis-world-model","name":"Genesis World Model","description":"Genesis AI's world model for training robots in simulated environments. Generates physics-accurate simulations for robotic manipulation and navigation. Focuses on wheeled robots over humanoids.","brainType":"world-model","isOpen":false,"maturityStage":"pilot","architecture":"Physics-based world simulation model","reviewStatus":"reviewed","sources":[{"url":"https://www.newswire.ca/news-releases/genesis-ai-emerges-from-stealth-with-105m-to-build-universal-robotics-foundation-model-and-horizontal-platform-for-general-purpose-physical-ai-879778839.html","date":"2025-07-01","title":"Genesis AI Emerges From Stealth with $105M to Build Universal Robotics Foundation Model and Horizontal Platform for General-Purpose Physical AI","sourceName":"CNW / Genesis AI"},{"url":"https://www.genesis.ai/","title":"Genesis","sourceName":"Genesis AI"},{"url":"https://www.genesis.ai/blog/the-role-of-simulation-in-scalable-robotics-genesis-world-10-and-the-path-forward","title":"The Role of Simulation in Scalable Robotics","sourceName":"Genesis AI"},{"url":"https://github.com/Genesis-Embodied-AI/genesis-world","title":"Genesis World","sourceName":"Genesis Embodied AI"},{"url":"https://genesis-world.readthedocs.io/","title":"Genesis World documentation","sourceName":"Genesis Embodied AI"}],"keyFacts":[{"label":"Stealth emerge and $105M seed (primary newswire.ca)","value":"Genesis AI's Jul 1 2025 release says it emerged from stealth with $105 million co-led by Eclipse and Khosla Ventures, with participation from Bpifrance, HSG, Eric Schmidt, and Xavier Niel, to build a universal robotics foundation model (RFM) and horizontal robotics platform with an in-house simulation stack for synthetic data plus real-robot collection. Treat round and product claims as company-stated (CNW / Genesis AI)"},{"label":"Full-stack physical AI framing (primary newswire.ca)","value":"The same release describes Genesis as a Paris and Palo Alto physical AI lab and full-stack robotics company planning to open-source components of its data engine and foundation model, with founders from Mistral AI, Nvidia, Google, CMU, MIT, Stanford, Columbia, and UMD. Treat positioning as company-stated (CNW / Genesis AI)"},{"label":"Robotics foundation model","value":"Genesis AI describes GENE as a robotics foundation model intended to support physical manipulation and general-purpose autonomy (Genesis)."},{"label":"Simulation platform","value":"Genesis AI describes Genesis World as a robotics simulation platform combining a renderer, physics engine, and Python-to-GPU compilation for scalable robot learning (The Role of Simulation in Scalable Robotics)."},{"label":"Unified simulation platform","value":"The Genesis World project describes a physics-based simulation platform for robotics and embodied AI that integrates multiple physics solvers, a renderer, and a cross-platform compiler (Genesis World repository)."},{"label":"Robot learning documentation","value":"Genesis World documentation provides a Python workflow for creating scenes, adding robotic entities, and stepping simulations for robot-learning experiments (Genesis World documentation)."}],"aliases":[],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:35:39.910Z","updatedAt":"2026-10-09T22:00:37.795Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/genesis-world-model","url":"https://registry.deploy.report/brains/genesis-world-model","name":"Genesis World Model","description":"Genesis AI's world model for training robots in simulated environments. Generates physics-accurate simulations for robotic manipulation and navigation. Focuses on wheeled robots over humanoids.","identifier":"d2e20728-60c3-445c-b060-98f965fca4ba","applicationCategory":"world-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"pilot","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":5,"primary_source_types":["code-repository"]}}}