PhysicsX is reinventing how physical systems are engineered by applying deep learning to the slow, compute-heavy world of simulation. Traditional engineering relies on numerical solvers that can take hours or days per design iteration; PhysicsX trains Large Physics Models that infer multiphysics behavior in seconds, letting engineers evaluate thousands of design variations and optimize products across the full lifecycle of design, manufacturing, and operations.
The company combines AI-driven inference with classical numerical methods so engineers get both speed and physical fidelity. Its technology targets industries where simulation is a core bottleneck, including aerospace and defense, semiconductors, materials, automotive, and energy and renewables.
Founded in 2019 and headquartered in London, UK, with a US office in New York, PhysicsX was founded by Robin Tuluie and Jacomo Corbo, who bring backgrounds spanning Formula 1 engineering and machine learning research.
In June 2025, PhysicsX raised a $135 million Series B led by Atomico, with participation from Siemens, Temasek, and others, bringing total funding to nearly $170 million. In November 2025, NVentures, NVIDIA's venture arm, added a roughly $20 million extension, pushing the round higher and valuing the company near $1 billion.
PhysicsX positions itself as the AI layer for advanced engineering and manufacturing, helping industrial companies design better products faster while cutting simulation cost.