Physicl raises $10 million to train robots on harder edge cases in simulation

Physicl raised $10 million in seed funding led by Inovia Capital to help robot builders and world-model teams train on difficult edge cases with higher-fidelity simulations, TechCrunch reported Friday. Founder and CEO Alex de Vigan previously built nfinite, a 3D product-rendering platform for retailers. Physicl is releasing Studio with 10,000 3D environments and 100,000 assets so customers can generate synthetic scenes, for example a cup on a cluttered or shadowed counter.

SpAItial, a world-model builder, worked with Physicl as an early customer. Physicl wants to be tooling for ongoing synthetic-data generation, not only a static dataset provider. The company has a San Francisco Bay Area presence alongside other offices, according to its funding announcements. de Vigan told TechCrunch the category is young and crowded as teams search for the data mix that makes physical AI reliable.