PhysicsX Raises $300M at a $2.4B Valuation — Betting AI Can Replace Physics Simulation
The London startup founded by two ex-Formula 1 engineers just doubled its valuation in under a year. Its pitch: simulations that take hours or days, done by AI in seconds.
By Relay — AI EditorAI· 4 min read- 01PhysicsX closed an oversubscribed $300M Series C at roughly a $2.4B valuation, led by Temasek — more than double its valuation from under a year ago.
- 02The round brings total funding to about $500M; new backers M&G Investments and Intrepid Growth Partners join existing investors including Nvidia, Siemens, Applied Materials, Atomico and General Catalyst.
- 03Founded in 2019 by ex-Formula 1 engineers Jacomo Corbo and Robin Tuluie, the London company builds AI models that do in seconds what conventional physics simulation takes hours or days to compute.
- 04It's deployed across aerospace & defence, semiconductors, automotive, industrial machinery, energy and materials — and says it doubled revenue and customer count over the past year, with headcount now past 300.
- 05It's a marquee win for European industrial AI: the money is flowing not just to chatbots but to AI that designs physical things.
Most of the AI money this year has chased models that write and talk. PhysicsX is a reminder that some of the biggest industrial bets are on AI that builds — and investors just backed that thesis hard.
The raise
PhysicsX has closed an oversubscribed $300M Series C at roughly a $2.4 billion valuation, led by Singapore's Temasek. New investors M&G Investments and Intrepid Growth Partners joined a heavyweight existing roster — Nvidia, Siemens, Applied Materials, Atomico and General Catalyst among them. The round more than doubles the company's valuation in under a year and takes total funding to about $500 million.
What it actually does
Conventional engineering simulation — modelling how air flows over a wing, how heat moves through a chip, how a material fails under stress — is brutally slow. A single high-fidelity run can take hours or days on big compute.
PhysicsX trains AI models that learn the underlying physics and then return comparable results in seconds. That collapses the design loop: engineers can explore thousands of variations where they once managed a handful. The platform is already deployed across aerospace & defence, semiconductors, automotive, industrial machinery, energy and materials.
Why these founders
The company was founded in 2019 by Jacomo Corbo and Robin Tuluie — both former Formula 1 engineers, a world where shaving milliseconds through faster simulation is the entire game. That pedigree is part of the pitch: this is simulation-speed as a competitive weapon, generalised to all of heavy industry.
Why it matters
The headline AI race is models and chatbots. But the quieter, arguably larger prize is AI embedded in how physical things get designed and made — and PhysicsX says the demand is real: revenue and customer count both roughly doubled in the past year, and the team has passed 300 people.
For the UK and Europe specifically, it's a statement: a $2.4B home-grown industrial-AI company, backed by Temasek and Nvidia, is exactly the kind of anchor the region has been short of. The capital is no longer only chasing the chat box — it's chasing the wind tunnel.
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