This article covers PhysicsX, an AI startup, which raised £224.8m in an oversubscribed series C funding round on 8 June that values the startup at about £1.8bn. The funding will accelerate global growth, expand its physics AI platform and fund research into larger pre-trained Large Physics Models to speed up industrial engineering workflows in sectors such as aerospace, semiconductors and energy.
PhysicsX has raised £224.8m in an oversubscribed series C funding round that values the company at about £1.8bn, the AI startup announced on 8 June. The London‑headquartered company says the cash will accelerate global growth, expand its physics AI platform and fund research into larger pre‑trained "Large Physics Models" aimed at speeding up industrial engineering workflows across sectors such as aerospace, semiconductors and energy.
Hardware industries are under pressure to deliver better products faster, but traditional simulation workflows are slow, costly and hard to scale. PhysicsX targets that bottleneck by applying machine learning to predict physical behaviour far faster than conventional simulation, which could shorten development cycles and increase the number of design iterations engineers can evaluate.
The raise is also a marker for investor appetite in AI applied to industrial problems. PhysicsX reports it has doubled recognised revenue year on year, tripled booked revenue, more than doubled its customer base in the past year and grown its headcount to more than 300 people. Those metrics suggest the company has moved from research to commercial deployment at scale — a transition that investors often look for before writing larger cheques.
PhysicsX builds an AI‑native engineering platform that it says can predict physical behaviour in seconds rather than hours or days. The platform is positioned to support the full product lifecycle: early‑stage design, manufacturing optimisation and real‑time digital twins in operation. The company lists deployments across aerospace & defense, semiconductors, industrial machinery, automotive, energy and materials.
A key technical focus is on "Large Physics Models" — pre‑trained physics AI models that combine simulation and real‑world data to increase fidelity and applicability. PhysicsX argues that by improving inference speed and leveraging GPU economics, these models make previously impractical analyses feasible for a broader group of engineers and operators.
The round was led by Temasek, with new investors M&G Investments and Intrepid Growth Partners joining existing backers Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius and Siemens.
Temasek first invested in PhysicsX in 2025 and is cited as having supported the company’s international expansion. The investor mix blends strategic corporate partners and traditional venture capital: NVIDIA and Applied Materials bring direct relevance to compute and semiconductor customers, Siemens represents industrial systems and manufacturing expertise, while Atomico and General Catalyst are established growth investors in deep tech. M&G and Intrepid add institutional capital from asset managers. PhysicsX describes the financing as oversubscribed and aimed at funding global growth, platform capability expansion and frontier research.
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In the announcement, Jacomo Corbo, Co‑Founder & CEO at PhysicsX, said:
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,
In the announcement, Robin Tuluie, Founder and Chairman of PhysicsX, said:
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 democratization 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,
PhysicsX’s raise highlights two converging trends: growing investor interest in AI systems that tackle physical problems, and a willingness from strategic industrial players to back software that can reshape hardware development. The participation of corporates such as NVIDIA, Applied Materials and Siemens signals demand from potential customers as well as financiers.
The company is headquartered in the UK with offices in London and New York and expanding presence in the Bay Area and Singapore, reflecting a global go‑to‑market approach for industrial AI. For the UK and Europe, the deal is a reminder that deep‑tech companies rooted in applied AI can attract large, international capital rounds when they demonstrate commercial traction in capital‑intensive sectors.
| Investors | Investment Focus | Startup Investments | Round Size | Connect |
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![]() Temasek( ) | ||||
![]() Atomico( ) | ||||
![]() July Fund( ) | ||||
![]() NGP Energy( ) | ||||
![]() NVIDIA( ) | ||||
![]() Siemens( ) | ||||
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