Physicl Secures $10M Seed to Build High-Fidelity Simulations for Robot Training

1. 20:50
   Robotics 24/7 — Industry reportingSignal

   Physicl raises $10M in seed funding to address physical AI edge-case gaps

   Paris-based Physicl announced $10 million in seed funding led by Inovia Capital, with participation from US Venture Partners. The company aims to solve the 'edge case' problem in physical AI through its new platform, Studio, which generates customized environments and high-fidelity training data with precise ground-truth. Physicl claims Studio provides access to 10,000 ground-truth 3D environments and over 100,000 assets, allowing researchers to recreate specific failure conditions (like lighting changes or object occlusion) at scale for targeted model improvement. The company collaborates with AI labs including Meta, World Labs, Epic Games, and SpAItial. CEO Alex de Vigan stated the platform addresses the long-tail of real-world scenarios that are difficult to capture in pre-training data.

1. 13:00
   TechCrunch — RoboticsSignal

   Physicl raises $10M to make the digital world real enough for robots

   Alex de Vigan's new venture Physicl has secured $10 million in seed funding from Inovia Capital. The company aims to repurpose technology from its previous firm, nfinite, to create realistic simulations that help robot builders solve training problems related to physics and object interaction. Physicl is launching 'Studio,' a tool providing 10,000 3D environments and 100,000 assets for generating synthetic data. The platform targets post-training on difficult edge cases, allowing users to curate scenes for specific robotic challenges, such as identifying objects in clutter or shadow. Early collaborator SpAItial is using Physicl's high-fidelity data to improve its Echo-3 world model builder.

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