PhysicsX
Category: AI Infrastructure
AI-powered platform that accelerates engineering simulation and optimization for manufacturers by automating complex physics modeling. PhysicsX was founded in 2019. The company is led by Jacomo Corbo. Based in London, UK. Team size: 51-200. Total funding raised: $167M. Latest round: Series B ($135M Jun 2025 + $20M Nov 2025 extension). Key investors include General Catalyst, Standard Investments, NGP Capital, Radius Capital, Henry Kravis.
- Founded
- 2019
- Headquarters
- London, UK
- Team size
- 51-200
- Total funding
- $167M
Value proposition
Dramatically reduces time and cost of complex simulations using proprietary deep learning models, enabling faster design cycles and improved product performance.
Products and solutions
Proprietary neural network-based surrogate models for physics simulations (digital twins), End-to-end workflow automation tools integrating with existing CAE/FEM software stacks, Custom solutions for specific industry needs like turbine blade optimization
Unique value
Combines deep domain expertise from Formula One engineering with cutting-edge machine learning to create ultra-fast surrogate models that replicate physical simulations without sacrificing accuracy.
Target customer
Large-scale manufacturers in automotive, aerospace, and energy/turbomachinery sectors.
Industries served
Automotive, Aerospace, Energy/Turbomachinery, Advanced Manufacturing
Technology advantage
Reduces multi-day or week-long simulation tasks to minutes or seconds while maintaining high fidelity, enabling rapid iteration.
How they differentiate
Differentiates through its unique blend of elite motorsport (F1) experience applied to industrial challenges and a specific focus on accelerating core simulation bottlenecks.
Main competitors
Monolith AI, Intrinsic (Alphabet), Altair Engineering, Ansys
Key partnerships
Rolls-Royce, Siemens, Microsoft
Notable customers
Rolls-Royce
Major milestones
Closed a $32M Series A round in November 2023 Named to CB Insights AI 100 list (2024) Named to Fast Company's Most Innovative Companies list (2024)
Growth metrics
Signed commercial contracts with multiple Fortune Global OEMs within two years of foundation; team size doubled between late 2023 and mid-2024.
Market positioning
Positioned as a niche expert applying high-performance engineering principles to industrial AI, focusing on deep simulation problems rather than generic analytics.
Geographic focus
Europe/Global
Patents and IP
Proprietary methods in neural surrogate modeling for multiphysics problems are claimed, but specific patent filings are not publicly detailed.
About Jacomo Corbo
Jacomo Corbo is the Co-Founder and CEO of PhysicsX. He is an experienced leader in AI design, engineering, and operational deployment. Before PhysicsX, he was the Co-Founder and Chief Scientist at QuantumBlack, McKinsey's AI and data science division, where he was central to its innovation strategy and growth. He was also a Partner at McKinsey & Company. His earlier career includes roles as an Assistant Professor and Canada Research Chair at the University of Ottawa and Chief Race Strategist for the Alpine Endurance Team. He holds a PhD from Harvard University.
Official website: https://www.physicsx.ai/