Physicl raises $10M to make the digital world real enough for robots
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What happened
Physicl, a company founded by Alex de Vigan, announced on November 6, 2026, that it raised $10 million in seed funding led by Inovia Capital. The funding will support the development of Studio, a platform that generates synthetic training data for physical AI systems. Studio aims to help researchers and companies train robots and AI models by creating realistic 3D simulations of rare and challenging real-world scenarios. The company has teams in Paris, San Francisco, and New York.
Key details
- Seed funding round totaled $10 million, led by Inovia Capital with participation from US Venture Partners.
- Studio platform is in beta and currently free for early users, including labs and companies.
- Studio's library contains 10,000 environments and 100,000 assets based on real 3D geometry and materials.
- Exports from Studio include RGB images or video up to 1920x1080 resolution, with detailed metadata for each frame.
- Physicl has about 30 team members and offices in Paris, San Francisco, and New York.
Why it matters
Robotics and AI teams that need to train models for real-world deployment can now access large volumes of precisely labeled, repeatable edge-case scenarios that are difficult to capture in real life. This reduces the time and cost required to gather rare training data and allows for more controlled testing of AI performance. Companies and researchers developing vision, world-model, and robotics systems can use Studio to improve reliability and accuracy in physical environments.


