General Intuition valuation jumps to $6 billion as motion-data bet opens a path for robots toward physical intelligence

The startup General Intuition, which builds foundational models for intelligent agents, is close to closing a new financing round that values it at roughly six billion dollars before counting the new money, just weeks after it raised $320 million at a valuation of $2.3 billion. New investor interest is led by prominent firms including Valor Equity Partners, Point 72 Ventures and Seven Seven Six, alongside continued participation from existing investors such as Husla Ventures and General Crost. This shift marks a milestone for the company, which was founded in New York after splitting in October from the video-clip sharing platform Medall, led by founder and CEO Bim De Fit, and has become one of the fastest-rising firms in the physical AI space.

The company's core technical bet is to train large motion models and foundational models that understand movement across space and time together, leveraging a massive archive containing hundreds of millions of recorded gameplay hours. The essential advantage of this data lies not only in the images but also in the action labels, controller button movements and their precise timing during gameplay.The motion data captured from player behavior provides the computational foundation for building automated intuition that goes beyond the limits of pre-training.According to investor Vinod Husla, these motion records contribute to the emergence of what is called programmatic intuition, the model's ability to generalize across complex physical and motion tasks that it has not been directly and explicitly trained on.

The company plans to channel the new capital into developing its general model and applying it to real robotic bodies, which requires a large expansion in talent acquisition and massive investments in computing infrastructure through its existing partnership with the CoreWave cloud. Valor Equity Partners, known for its early investment in SpaceX, is making its first investment in an AI model-development lab since supporting the space company, indicating that bold capital is now treating physical control models and robotics as the next major infrastructure after the era of generative language models.

This shift in foundational model architecture directly impacts automation and technology strategies in the Gulf, Egypt and the Levant. Moving from conversational models to motion-action models means that organizations that operate logistics ports, distribution centers or industrial facilities will no longer rely solely on traditional robot programming or separate computer vision, but will move toward integrating general models capable of adapting to changing kinetic environments. The trend also redirects engineering talent requirements from merely fine-tuning text models to handling spatial data and temporal control, increasing the value of expertise that can link models to real-world devices and sensors in regional production lines.