HomeGeneral Intuition targets $300M raise at $2B valuation
General Intuition, the New York-based startup developing a foundation model that trains AI agents to navigate space and time, is in discussions to raise roughly $300 million, sources familiar with the matter told TechCrunch.
The funding round comes 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 investment would push the startup’s valuation to just over $2 billion, sources say.
Sources tell TechCrunch that General Intuition has secured commitments from backers including Jeff Bezos and Eric Schmidt, as well as existing investors Khosla Ventures and General Catalyst.
Pim de Witte, who co-founded Medal, founded and leads General Intuition alongside co-founders Eloi Alonso, Adam Jelley, and Vincent Micheli — researchers with expertise in world modeling and simulation.
The startup trains embodied AI and world models using Medal’s dataset, which generates 2 billion videos per year from 10 million monthly active users. The startup’s pitch is that this dataset — unique because it allows AI to learn from interactive, first-person gameplay — serves as an ideal foundation for teaching machines deep spatial-temporal reasoning, enabling them to perceive, anticipate, and interact in real-time within simulations.
That dataset has reportedly drawn attention from OpenAI, which previously attempted to acquire Medal. And sources say OpenAI is not the only major AI lab that has expressed interest.
The world model space General Intuition is operating in is heating up. Startups like Runway, Decart, and World Labs have all recently released world models, and Google’s Genie 3 recently began integrating Google Maps data for more realistic simulation capabilities.
All these companies see gaming and robotics training as near-term commercial use cases, but General Intuition takes a different approach: it builds world models to train agents, not to sell them. The agents are the product, and the startup’s unique dataset gives it a viable path forward.
General Intuition plans to use the funds to scale its compute capacity, aiming to release a new product by the end of summer or early fall, according to a source familiar with the matter.
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General Intuition, the New York-based startup developing a foundation model that trains AI agents to navigate space and time, is in discussions to raise roughly $300 million, sources familiar with the matter told TechCrunch.
The funding round comes 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 investment would push the startup’s valuation to just over $2 billion, sources say.
Sources tell TechCrunch that General Intuition has secured commitments from backers including Jeff Bezos and Eric Schmidt, as well as existing investors Khosla Ventures and General Catalyst.
Pim de Witte, who co-founded Medal, founded and leads General Intuition alongside co-founders Eloi Alonso, Adam Jelley, and Vincent Micheli — researchers with expertise in world modeling and simulation.
The startup trains embodied AI and world models using Medal’s dataset, which generates 2 billion videos per year from 10 million monthly active users. The startup’s pitch is that this dataset — unique because it allows AI to learn from interactive, first-person gameplay — serves as an ideal foundation for teaching machines deep spatial-temporal reasoning, enabling them to perceive, anticipate, and interact in real-time within simulations.
That dataset has reportedly drawn attention from OpenAI, which previously attempted to acquire Medal. And sources say OpenAI is not the only major AI lab that has expressed interest.
The world model space General Intuition is operating in is heating up. Startups like Runway, Decart, and World Labs have all recently released world models, and Google’s Genie 3 recently began integrating Google Maps data for more realistic simulation capabilities.
All these companies see gaming and robotics training as near-term commercial use cases, but General Intuition takes a different approach: it builds world models to train agents, not to sell them. The agents are the product, and the startup’s unique dataset gives it a viable path forward.
General Intuition plans to use the funds to scale its compute capacity, aiming to release a new product by the end of summer or early fall, according to a source familiar with the matter.
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