General Intuition, a startup building a foundation model for embodied AI, has raised $320 million at a $2.3 billion valuation on the thesis that robotics is approaching the same inflection point language AI crossed with GPT-3. The company’s approach trains on millions of hours of video game data rather than real-world robot telemetry, using action-labelled gameplay sourced at scale from Medal, a platform where players upload gameplay clips. A companion project called MIRA, developed with partners including Kyutai and Epic Games, is a playable multiplayer world model trained on Rocket League data. General Intuition argues that action data teaches spatial-temporal reasoning in a way that passive video and text cannot. As a proof point, its model, trained entirely on games, powered a quadrupedal robot after fine-tuning on just eight minutes of real-world robotics data, operating using only a front camera in an office environment. The company does not intend to build robots, positioning itself as an enabler. It has begun onboarding initial partners across games, simulation, and robotics to a commercial API.