
PhysicsX
London AI company founded in 2019 that replaces engineering simulations for carmakers, aircraft makers and chip designers, compressing hours-long runs to seconds.
Last refreshed: 14 June 2026 · Appears in 1 active topic
Will PhysicsX's $2.4bn valuation hold once engineering simulation buyers face budget pressure?
Timeline for PhysicsX
Mentioned in: Odyssey Ventures gets £10m state cheque
UK Startups and InnovationMentioned in: Greenjets raises £30m in its 21st year
UK Startups and InnovationCited as an example of the AI-concentration pattern
UK Startups and Innovation: Mentioned in: AI takes record 44% of UK equity marketMentioned in: CuspAI raising $400m on Bezos money
UK Startups and InnovationClosed $300m Series C at $2.4bn valuation
UK Startups and Innovation: PhysicsX hits $2.4bn on Temasek cashBackground
PhysicsX raised a $300m Series c at a $2.4bn valuation on 8 June 2026, led by Singapore's Temasek, making it one of Britain's most highly valued deep-tech firms. The company builds AI models that replace physics simulations for engineering-intensive industries, compressing tasks that previously took hours of compute into seconds. Its tools are used in automotive aerodynamics, aircraft structural analysis, and semiconductor design.
Founded in 2019 by Robin Tuluie and Jacomo Corbo, both with Formula One and aerospace engineering backgrounds, PhysicsX targets sectors where simulation costs are a genuine bottleneck. Rather than building a general-purpose AI, it trains models tightly coupled to physical laws, enabling predictions that remain accurate outside the training distribution. The company is London-headquartered and publicly committed to keeping its research base in the UK.
The Temasek-led round signals sustained international appetite for British deep-tech at scale. PhysicsX's $2.4bn valuation places it among the top tier of UK AI companies that have not yet sought a US listing, and the round's size suggests the next stage is either a late-stage growth round or a public market event. Its physical-AI niche is distinct from large language model companies and largely insulated from the commoditisation pressure hitting general AI.