PhysicsX, an AI-native engineering platform for industrial organisations, has raised £225 million in an oversubscribed Series C round at a valuation of approximately £1.8 billion. The round is led by Temasek, with participation from new investors M&G Investments and Intrepid Growth Partners, alongside existing investors including Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, and Siemens. The funds will be used to accelerate global growth, expand platform capabilities, and advance frontier research, including the development of larger pre-trained physics AI models known as Large Physics Models.
The sectors that build the world's most critical hardware - aerospace and defence, energy, semiconductors, automotive, materials manufacturing, and data centres - face mounting pressure to ship better products on tighter timelines. At the centre of hardware development sit simulation workflows that are slow, expensive, and difficult to scale. PhysicsX's software stack is built to remove that bottleneck: its AI models predict physical behaviour in seconds rather than hours or days, enabling engineering teams to evaluate orders of magnitude more design variants. The platform carries physics insight across the full product lifecycle, from early-stage design and manufacturing through to real-time digital twins in operation. Deployed across aerospace and defence, semiconductors, industrial machinery, automotive, energy, and materials, the platform addresses some of the most demanding engineering environments in the world.
Temasek first invested in PhysicsX in 2025 and has played an instrumental role in supporting the company's international expansion and growth. The financing comes amid rapid growth: PhysicsX has doubled year-over-year recognised revenue, tripled booked revenue, and more than doubled its customer count over the past year. The team has grown to more than 300 people, doubling in size over the same period.
Almost every hard problem in the physical economy - better aircraft, better chips, better engines, better energy systems — comes down to how fast and how well engineers and machine operators can work through the underlying physics. For decades, that has been the binding constraint on hardware innovation. Physics AI removes it. We are giving engineers the ability to explore thousands of designs where they once managed a handful, in seconds rather than weeks, across the most demanding industries in the world. We are also enabling more reliable, more efficient, and altogether new ways of doing engineering, manufacturing, and production. This financing lets us put that capability in the hands of more engineers and push the frontier toward ever larger and more capable Large Physics Models.
High-fidelity physics simulation has always been powerful, but it has also been slow, costly, and the preserve of a small group of specialists. Physics AI changes that in every dimension. It makes high-fidelity simulation dramatically more efficient, augments and improves on pure simulation results with ingestion of real-world data into our Large Physics Models, and opens it to applications that were never practical before. We believe in the democratisation of this technology to broad technical profiles across an industrial organisation - engineers, designers, and operators who previously couldn't run these analyses themselves. As that capability spreads, its utility compounds across the business. That's the change we're driving.
