General Intuition raises $320M to train robots using video game data

Key takeaway

• General Intuition, a robotics AI company, has raised $320 million（約510億円） to build AI models trained on video game data rather than traditional simulated or real-world footage.

• The company uses billions of clips from Medal, a gaming platform, because they contain both visual information and action labels that show how players make decisions in complex environments—a combination the company believes is essential for training robots that can act intelligently in the real world.

3 Key Points

FAQ

What makes General Intuition's approach different from other physical AI companies?

Instead of gathering hundreds or thousands of hours of real-world data or generating simulated data, General Intuition uses billions of gameplay clips that capture humans perceiving an environment and deciding how to move through it, with embedded action labels showing exactly what button a player presses and when.

When will General Intuition's API be available to users?

The company hopes to make its API more broadly available this summer.

Who led this funding round?

General Catalyst led the Series A round, with participation from Amazon founder Jeff Bezos and former Google CEO Eric Schmidt.