Physicl raises $10M seed to build realistic 3D sims for robot training
Physicl, a startup founded by Alex de Vigan, has secured $10 million in seed funding led by Inovia Capital. The company aims to solve a critical bottleneck in physical AI: the difficulty of training robots on real-world data. De Vigan, who previously built nfinite for e-commerce 3D rendering, repurposed that technology to create high-fidelity digital environments. These simulations allow robot…
Key points
- Physicl raised $10M in seed funding led by Inovia Capital to build simulation tools for robotics.
- The company’s Studio product offers 10,000 3D environments and 100,000 assets for generating synthetic training data.
- SpAItial used Physicl’s high-fidelity data to improve its Echo-3 world model, addressing gaps in real-world physics simulation.
The startup’s initial product, Studio, includes 10,000 3D environments and 100,000 assets. Early customer SpAItial, a world model builder, used Physicl’s data to improve the fidelity of its Echo-3 model. SpAItial CEO Matthias Niessner highlighted the value of on-the-fly data generation, where AI systems can automatically request and create specific training data based on current performance gaps. Physicl positions itself not just as a data provider, but as an agentic workflow tool that transforms unstructured inputs like images or LIDAR data into usable 3D representations for model post-training.
Physicl raises $10M to make the digital world real enough for robots
TechCrunch AI · 6 November 2026
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