❯ General Intuition raises $220 million at a $6.2 billion valuation as its models trained on gameplay footage reach customers

Learning actions from player recordingsGeneral Intuition does not build models that process text. It builds foundation models that learn actions, with the aim of letting AI act in real time in environments it has not seen. Its training data comes from the gameplay video platform Medal, where uploads are paired with the player’s inputs. According to Pulse 2.0, Medal is on track for about 3 billion uploaded videos a year.

Spun out of Medal a year agoThe company was spun out of Medal in 2025, and its CEO and co-founder is Pim de Witte. According to Runtime Wire, it raised a $133.7 million seed round in October 2025 led by Khosla Ventures and General Catalyst, then $320 million on June 25 this year at a $2.3 billion valuation. It has shown a model called MIRA that generates four-player Rocket League games.

Nearly triple in three monthsOn September 29, the company announced it had raised $220 million at a $6.2 billion valuation from Valor Equity Partners, Atreides, Seven Seven Six, Point72, Khosla Ventures and General Catalyst. It also began making its models available to customers, with partners currently gaining access through an early-access list. The money will go to more training, compute and researchers.

One step from games to realityWhat robotics companies lack most is action-labeled data, and General Intuition says leading robotics models train on less than 1% of the action data it can reach through Medal. If skills learned in games transfer, robot makers gain a data source far cheaper than collecting on real machines. Runtime Wire cautions that such transfer to physical robots at scale remains unproven.

▪ SIGNALText models grew up on the internet’s text, and companies building action models are looking for their own internet. For now the closest thing is billions of gameplay clips with the inputs recorded.