PhysicsX Raises $300M at a $2.4B Valuation to Scale 'Large Physics Models' for Industrial Engineering

London-based PhysicsX has raised an oversubscribed $300 million Series C at a valuation of about $2.4 billion, one of the largest rounds yet for the emerging field of "physics AI." The financing was led by Temasek, with new backers M&G Investments and Intrepid Growth Partners joining existing investors including Applied Materials, Atomico, General Catalyst, NGP, Radius, Siemens, and NVIDIA — a lineup that mixes sovereign capital, venture firms, and the industrial giants that would actually use the product.

PhysicsX builds what it calls Large Physics Models — an explicit analogy to the large language models behind chatbots, but trained on the physical equations that govern how engines, turbines, and chips behave under stress. Where a traditional simulation solves those equations from scratch every time, PhysicsX's pretrained models predict high-fidelity results in a fraction of the time and sharpen them by ingesting real-world test data. The pitch, in the company's words, is that engineers can "explore thousands of designs where they once managed a handful, in seconds."

The platform is already deployed across aerospace and defense, semiconductors, automotive, energy, industrial machinery, materials, and data centers — sectors where a single physical prototype can cost millions and months. By collapsing the simulate-build-test loop, PhysicsX is selling the same productivity promise that generative AI brought to software, aimed instead at the slow, expensive world of hardware engineering.

The numbers behind the round suggest the pitch is landing. Over the past year the company says it doubled recognized revenue, tripled booked revenue, more than doubled its customer count, and grew its team past 300 people — itself a doubling. The fresh capital will fund global expansion, broader platform capabilities, and frontier research into larger, more powerful pretrained physics models.

The investor mix is the tell. Strategic backers like Applied Materials, Siemens, and NVIDIA are not financial tourists — they sit at the center of the supply chains PhysicsX wants to speed up, from chip fabrication to industrial equipment. Their presence signals that "AI for the physical world" is shifting from a research curiosity to infrastructure that incumbents feel they need to be close to.