Physical AI software for simulation-driven engineering and manufacturing
PhysicsX builds AI software that replaces or accelerates physics simulation across the engineering lifecycle. Its stack pairs CFD and CAD tools (STAR-CCM+, OpenFOAM, Fluent, NX, CATIA) with PyTorch, TensorFlow and HPC schedulers (Slurm, LSF) on Kubernetes across AWS, GCP and Azure, a sign it trains large physics models on simulation data. Hiring is overwhelmingly senior engineering, with pains around mesh data loading and reliable ML deployment.
PhysicsX is a privately held physical AI company headquartered in London, with an office in New York and a team of 201–500 employees. It develops a software stack that applies AI throughout engineering and manufacturing workflows, including simulation, design optimisation and production deployment of ML surrogates. Customers come from aerospace and defense, automotive, semiconductors, materials and energy. The company hires in the United Kingdom, the United States and Singapore.
PhysicsX runs Python, PyTorch, TensorFlow, NumPy and SciPy on Kubernetes, Terraform, Crossplane and Istio across AWS, GCP and Azure, alongside simulation tools like STAR-CCM+, OpenFOAM, Fluent, NX and CATIA.
PhysicsX is headquartered in London, United Kingdom, with an additional office in New York, and hires in the UK, US and Singapore.
Projects include an AI-driven simulation software stack, physical foundation models, simulation dataset generation for ML training, and deploying ML surrogates into customer production environments.
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PhysicsX's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.