PhysicsX has raised a $135M Series B led by Atomico, bringing total funding to nearly $170M, to scale AI software that compresses weeks of engineering simulation into minutes.
The London startup has more than quadrupled revenue since its $32M Series A in November 2023 and grown its team to over 150.
Siemens and Applied Materials joined as strategic investors. Both are also customers whose tools PhysicsX competes against in some cases.
Standard tools for designing aircraft engines, semiconductor chips, and electric vehicle parts, including Ansys, Siemens NX, and OpenFOAM, run physics simulations that can take hours or days per design iteration. Engineers can test only a few options before committing to a direction.
PhysicsX uses deep learning models trained on high-quality simulation data to predict aerodynamics, heat behaviour, and structural stress in seconds, acting as a physics surrogate model, meaning an AI stand-in for a traditional simulation run. A team designing a turbine blade can now explore thousands of options in the time it used to take to test just one.
