General Intuition, a New York-based startup developing a foundation model that trains AI agents to navigate space and time, is in discussions to raise approximately $300 million, sources familiar with the matter told TechCrunch.
The funding round comes just eight months after General Intuition spun out of Medal, a platform for uploading and sharing video game clips, with a $134 million seed round. The new capital would push the startup’s valuation to just over $2 billion, sources say.
Backers in this round include Jeff Bezos and Eric Schmidt, alongside existing investors Khosla Ventures and General Catalyst, according to sources.
Pim de Witte, who co-founded Medal, leads General Intuition alongside co-founders Eloi Alonso, Adam Jelley, and Vincent Micheli—researchers specializing in world modeling and simulation.
The startup trains embodied AI and world models using Medal’s vast dataset of 2 billion videos per year from 10 million monthly active users. The pitch: this dataset, derived from interactive first-person gameplay, offers an ideal foundation for teaching machines deep spatial-temporal reasoning. This allows AI to perceive, anticipate, and interact in real-time within simulations.
The dataset has reportedly drawn interest from OpenAI, which previously attempted to acquire Medal. Sources say other major AI labs have also approached the startup.
The world model space is heating up in 2026. Competitors like Runway, Decart, and World Labs have all released world models. Google’s Genie 3 recently began integrating Google Maps data for more realistic urban simulation capabilities.
While many competitors target gaming and robotics training as near-term commercial applications, General Intuition takes a different approach: it builds world models to train AI agents, not to sell them directly. The agents themselves become the product, with the unique dataset providing a viable path to market.
General Intuition plans to use the new funds to scale its compute capacity and release a new product by late summer or early fall 2026, according to a source familiar with the matter.
via TechCrunch AI