Last Updated: 8 June 2026
PhysicsX, a UK-based company that uses AI to run engineering simulations far faster than traditional software, has closed a $300 million Series C funding round at a valuation of approximately $2.4 billion. The company was co-founded by Jacomo Corbo and Robin Tuluie, and its software is used across sectors that build complex physical products: aerospace and defense, semiconductors, automotive, energy, and materials manufacturing.
At its core, PhysicsX is trying to fix a problem every hardware engineer knows well. Running a simulation means asking a computer to model how a physical design will behave in the real world — how an engine part handles heat, how a wing holds up under pressure, how a chip moves electricity. Traditional tools do this accurately, but slowly. A single run can take hours or even days. Because each simulation is expensive in time and computing resources, engineering teams can only test a limited number of designs before committing to one. That constraint has real consequences for the quality of what gets built. The engineering simulation software market is valued at over $15 billion in 2026 and projected to double by 2031, driven by AI tools that reduce both cost and waiting time. PhysicsX is building directly into that shift.
The Series C was oversubscribed and led by Temasek, the Singapore investment firm that first backed PhysicsX in 2025. New investors M&G Investments and Intrepid Growth Partners joined the round, alongside returning backers Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, and Siemens.
Every physical product goes through simulation before it is built. Engineers test how materials will behave, how heat will spread, how fluids will flow. The challenge is that the underlying physics is genuinely complex. Traditional simulation tools calculate everything from scratch each time, following the equations of physics step by step. That approach is reliable, but it does not scale. Teams end up testing far fewer design options than they would like, simply because there are not enough hours in the day.
AI offers a different approach. Rather than recalculating physics from first principles on every run, an AI model can learn patterns from thousands of previous simulations and then predict results directly. The output arrives in seconds instead of hours, and the model can also incorporate real-world data to improve its accuracy over time. This means engineering teams can explore far more design options across every stage of a product's life, from early concept through manufacturing and operation.
US aerospace and defense spending on AI is forecast to reach $5.8 billion by 2029, roughly 3.5 times its 2025 level, according to IDC projections cited in Deloitte's 2026 Aerospace and Defense Industry Outlook. PhysicsX is already active in those sectors.
The funding is earmarked for three areas: expanding the company's global reach, developing new platform capabilities, and advancing research into what PhysicsX calls Large Physics Models. These are pre-trained AI models designed to understand physical behavior broadly, in the same way that large language models are trained to understand text. The goal is a physics AI system capable enough to apply across many industries and problem types, not just specific applications it was built for.
"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."
Jacomo Corbo, Co-Founder & CEO of PhysicsX
The company also plans to open offices in the Bay Area and Singapore, extending its current footprint in London and New York. Growth has been fast. Over the past twelve months, PhysicsX doubled its recognized revenue, tripled its booked revenue, and more than doubled its customer count.
PhysicsX was co-founded by Jacomo Corbo, who serves as CEO, and Robin Tuluie, who serves as Co-Founder and Chairman. The team has grown to more than 300 people, twice the size it was a year ago, and includes physicists, AI researchers, domain engineers, and software specialists.
The platform takes AI models trained on simulation data and real-world measurements and uses them to predict physical behavior on demand. An aerospace engineer can evaluate thousands of wing designs in the time a conventional simulation would take to process one. A semiconductor manufacturer can model heat distribution across chip layouts almost instantly. The platform connects to the software engineering teams already use and works across the full product lifecycle: design, manufacturing, and ongoing operation. It replaces the simulation step in existing workflows rather than sitting alongside it.
"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 organization — 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."
Robin Tuluie, Co-Founder and Chairman, PhysicsX
Temasek led the Series C and has been involved with PhysicsX since 2025, supporting the company's expansion into new international markets. M&G Investments and Intrepid Growth Partners came in as new backers, broadening the investor base beyond PhysicsX's existing group.
The returning investors cover the industries PhysicsX sells into. NVIDIA and Applied Materials are central to semiconductor and computing hardware. Siemens is one of the world's largest industrial automation companies and has an active collaboration with PhysicsX on data center power infrastructure. General Catalyst, Atomico, NGP, July Fund, and Radius complete the group, with backgrounds spanning technology investment and energy.
