Physicl raises $10M for robot training simulations

Physicl has secured $10 million in seed funding led by Inovia Capital to develop high-fidelity 3D simulations for training robotics models. Founded by Alex de Vigan, the startup leverages technology from his previous company, nfinite, to transform unstructured real-world data into accurate physical representations with correct geometry and materials. The company is launching a product called Studio, which provides 10,000 3D environments and 100,000 assets to help developers generate synthetic training data for difficult edge cases. Early collaborator SpAItial uses Physicl’s tooling to improve the fidelity of its world models, highlighting the shift toward automated, on-the-fly data generation for physical AI.