Skild AI just took the wraps off Skild Brain, a “general-purpose” model meant to run on many robot bodies —not just one factory arm or one warehouse cart. The demos weren’t sci-fi eye candy; they were the unglamorous moves that make or break real deployments: climbing stairs, recovering balance after a shove, picking from clutter. The bet is simple and bold: if you train a single model across lots of tasks and lots of robots, then every new job makes the whole system better.
To understand Skild AI’s approach, think of three streams of experience flowing into one brain.
First, millions of simulated episodes where robots practice safely at super-speed. Second, human-action videos that teach the model what skilled manipulation looks like. Third, real-world logs from customer robots running Skild AI software—those streams are fed back to refine the model so the next update is smarter on day one.