The brief
- Generalist AI builds robot foundation models trained on diverse manipulation tasks.
- The company raised $400 million in June 2026 with backing from NVIDIA and Bezos Expeditions.
- Its models learn new robot tasks from human demonstrations and can be deployed across different robot bodies.
Technical approach
Vision-language-action models
Learning from human demonstrations
Models that watch human performing a task and learn the relationship between visual input, language commands and robot actions.
Generalization across tasks
One model for many uses
The goal is a foundation model that handles new manipulation tasks without retraining and works across different robot bodies.
