How much funding has Physicl raised?

Physicl has raised $10M in total funding. Their latest funding round was Seed. Key investors include Inovia Capital (lead), US Venture Partners, Insight Partners.

Where is Physicl headquartered?

Physicl is headquartered in Paris, France. The company has a team of 11-50 people.

What does Physicl do?

Physicl operates in the AI Infrastructure sector. Synthetic data platform that generates targeted, ground-truth 3D training and evaluation data for physical AI models, focused on edge-case failures. Lets physical AI teams recreate the situations where their models fail, vary them millions of ways, and train on exact ground-truth labels instead of scraped or hand-labeled data.

When was Physicl founded?

Physicl was founded in 2025. It is based in Paris, France.

How much funding has Physicl raised?

Physicl has raised $10M in total funding. Key investors include Inovia Capital (lead), US Venture Partners, Insight Partners.

Who is the CEO of Physicl?

Alex de Vigan is the CEO of Physicl. The company was founded in 2025.

Where is Physicl located?

Physicl is headquartered in Paris, France.

What funding stage is Physicl at?

Physicl is currently at the Seed stage.

How many employees does Physicl have?

Physicl has approximately 11-50 employees.

Physicl

Category: AI Infrastructure

Synthetic data platform that generates targeted, ground-truth 3D training and evaluation data for physical AI models, focused on edge-case failures. Physicl was founded in 2025. The company is led by Alex de Vigan. Based in Paris, France. Team size: 11-50. Total funding raised: $10M. Latest round: Seed. Key investors include Inovia Capital (lead), US Venture Partners, Insight Partners.

Founded: 2025
Headquarters: Paris, France
Team size: 11-50
Total funding: $10M

Value proposition

Lets physical AI teams recreate the situations where their models fail, vary them millions of ways, and train on exact ground-truth labels instead of scraped or hand-labeled data.

Products and solutions

Studio (private beta, free during beta): 10,000+ ground-truth 3D environments and 100,000+ assets. Users describe a scene, vary lighting, camera, layout and objects, and get per-frame depth, normals, segmentation, instance IDs, material indices, camera pose and 2D/3D boxes.

Unique value

Labels are exact by construction because they come from known geometry and physics rather than being estimated from images. Single conditions can be varied while everything else is held fixed, so runs can be compared directly.

Target customer

AI labs and research teams building robot policies, world models, perception and vision models, and model evaluation.

Industries served

Robotics, world models, computer vision, embodied AI, physical AI evaluation.

Technology advantage

3D pipeline inherited from Nfinite that turns unstructured real-world data into high-fidelity 3D with correct geometry, materials and physics. A large library of real-geometry environments and assets, and a repeatable benchmark loop for failure recreation.

How they differentiate

Focus on post-training and evaluation on specific edge-case failures, with exact per-frame ground truth and single-variable scene variation. Positioned as continuous synthetic data tooling rather than a one-off dataset vendor.

Main competitors

Duality AI, Parallel Domain, Scale AI (data for physical AI)

Key partnerships

Works with Meta, World Labs, Epic Games, SpAItial, AWS, NVIDIA and Technical University of Munich. Launched publicly at NVIDIA GTC in March 2026. Advisers include Thomas Wolf (Hugging Face), Christoph Lassner (World Labs), Matthias Niessner (TUM), Yaser Sheikh and Sebastien Deguy.

Notable customers

SpAItial, Meta, World Labs, Epic Games

Major milestones

March 2026: public launch at NVIDIA GTC. 6 Nov 2026: $10M seed announced and Studio launched in private beta.

Growth metrics

About 30 employees, most of them engineers and R&D specialists. Studio is in private beta. SpAItial more than halved its reconstruction error on real rooms using Physicl data.

Market positioning

Data infrastructure layer for the deployment stage of physical AI. TechCrunch describes it as entering a crowded and young category.

Geographic focus

Global; teams in Paris and the San Francisco Bay Area, with offices in New York and a US-incorporated entity (Physicl, Inc.).

About Alex de Vigan

Founder and CEO of Nfinite (3D visual infrastructure for retail, serving brands such as Walmart and Wayfair); about ten years building 3D digitization and rendering technology.

Latest news about Physicl

Physicl raises $10 million to generate training data for physical AI

More AI Infrastructure companies

Official website: https://www.physicl.ai