Generalist AI raised $400 million led by Radical Ventures at a $2 billion valuation, one of the larger robotics rounds of the year. The company is building foundation models for robotics -- systems designed to let a single model generalize across many physical tasks and embodiments rather than being hand-tuned for one narrow job.
The thesis is that robotics has been held back less by hardware than by software that doesn't transfer: a model trained to do one task rarely does another. A general-purpose model that can perceive, reason and act across environments is the unlock that would turn impressive lab demos into machines that actually work in warehouses, factories and homes.
“The thesis is that robotics has been held back less by hardware than by software that doesn't transfer: a model trained to do one task rarely does another.”
The raise fits a broader pattern of capital concentrating in physical AI, alongside world-model labs and robotics-performance startups. Investors are betting that after the language-model wave, the next platform shift happens in the physical world -- and that the companies building the 'brains' for general-purpose robots will be foundational to it.