PhysicsX AI-Native Engineering Platform

Organization
PhysicsX · United Kingdom
Solution Type
Platform
Collaboration
Licensing, R&D Collaboration

1. Technology overview

PhysicsX is an AI company for industrial engineering, co-founded by Jacomo Corbo, Nico Haag and Robin Tuluie, with offices in London, New York and Singapore. It targets semiconductors, aerospace and defense, materials, energy and renewables, and automotive, where product development is slowed by long simulation cycles and siloed data.

Its platform unifies simulation, physics AI, data and engineering applications across the lifecycle. The Simulation Workbench manages simulation and test data with lineage, the AI Workbench builds and deploys Deep Physics Models that combine AI inference with numerical simulation and report uncertainty, and no-code engineering applications support design optimization and manufacturing process control. It integrates with CATIA, Siemens NX, ANSYS, OpenFOAM and STAR-CCM+.

2. Highlighted features & specifications

  • Simulation Workbench: manages simulation and experimental data with 2D/3D analysis and data lineage.
  • AI Workbench: builds Deep Physics Models with built-in uncertainty quantification.
  • Model Catalog: offers custom, pre-trained and third-party models that can be fine-tuned.
  • Engineering applications: no-code apps for design optimization and process control.
  • CAD and CAE integration: connects CATIA, Siemens NX, ANSYS, OpenFOAM and STAR-CCM+.
  • Flexible deployment: runs on AWS, Azure, hybrid or on-premise HPC.

3. Potential application

An automotive or electric motorbike maker in Vietnam could speed aerodynamic and thermal design studies. A semiconductor packaging plant could optimize process parameters with surrogate models. A wind or energy equipment supplier could evaluate many component designs before physical testing.

4. Benefits

Deep Physics Models cut simulation run times from hours to seconds, so engineers can explore far more design options. Results come with confidence levels, and active learning retrains models where uncertainty is high. Simulation and AI assets are reused across programs, and the platform can run in the cloud, hybrid or on-premise for sensitive IP.

6. Other information

PhysicsX was co-founded by Jacomo Corbo, Nico Haag and Robin Tuluie and lists offices in London, New York and Singapore. In October 2026 it expanded its partnership with GB1 on America's Cup yacht design, announced at NVIDIA GTC Berlin, and appointed Dael Williamson as Chief Technology and Platform Officer.

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