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PhysicsX raises $300 million to put AI inside industrial engineering

PhysicsX raises $300 million to put AI inside industrial engineering

Money Moves

A London startup building 'Large Physics Models' more than doubled its valuation to $2.4 billion in under a year, led by Singapore's Temasek.

Yesterday: $300M Series C at $2.4B

Overview

Engineers spend weeks running simulations to learn how a jet engine, a turbine blade, or a chip will behave under heat and stress. PhysicsX, a London startup, says its AI can return similar answers in seconds. On June 9, 2026, it closed a $300 million Series C round that values it at about $2.4 billion.

The valuation more than doubled in under a year. Singapore's state investor Temasek led the round. The money is a bet that AI's next big market is not chatbots but the physical equations behind how machines are built.

Why it matters

If AI can replace slow engineering simulation, the cost and speed of designing cars, chips, and aircraft changes for every company that makes physical things.

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Key Indicators

$300M
Series C raised
Oversubscribed round led by Temasek, announced June 2026.
$2.4B
Valuation
Up from just under $1 billion at the Series B less than a year earlier.
300+
Employees
Team has grown past 300 people since the 2019 founding.
~2.4x
Valuation jump in a year
Price tag rose roughly 2.4-fold between the June 2025 Series B and this round.

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People Involved

Organizations Involved

Timeline

January 2019 June 2026

4 events Latest: Yesterday
Tap a bar to jump to that date
  1. $300M Series C at $2.4B

    Latest Funding

    Temasek leads an oversubscribed $300 million round, more than doubling the valuation. New money funds US growth and a Singapore office.

  2. NVIDIA joins the cap table

    Funding

    NVIDIA's venture arm adds $20 million in a Series B extension, bringing the round to about $155 million at a roughly flat valuation.

  3. $135M Series B

    Funding

    Atomico leads a $135 million round, with Temasek, Siemens, and Applied Materials joining. The valuation nears $1 billion.

  4. PhysicsX founded

    Founding

    Former Formula 1 engineers Jacomo Corbo and Robin Tuluie start the company in London to apply AI to engineering simulation.

Historical Context

3 moments from history that rhyme with this story — and how they unfolded.

November 2020

DeepMind's AlphaFold (2020-2021)

DeepMind's AlphaFold predicted the 3D shape of proteins from their genetic sequence, a problem biologists had worked on for 50 years. It produced answers in hours that once took months of lab work.

Then

Researchers worldwide adopted it, and DeepMind released a database of predicted structures.

Now

It showed AI could act as a fast stand-in for expensive scientific computation, a model PhysicsX now applies to engineering.

Why this matters now

PhysicsX is building the engineering version of the same idea: a model that predicts physical behavior instead of simulating it from scratch.

2021

The AI drug-discovery funding boom (2021)

Investors poured billions into startups like Recursion and Insitro that promised AI would speed up finding new drugs. Recursion went public at a multibillion-dollar valuation.

Then

Valuations soared on the promise of faster, cheaper discovery.

Now

Turning model predictions into approved products proved slow, and several stocks fell hard as revenue lagged the hype.

Why this matters now

It is the cautionary parallel: big capital into applied AI can outrun real-world revenue, the gap PhysicsX still has to close.

1970s-2010s

Ansys and the rise of engineering simulation software

Companies like Ansys and Dassault Systèmes built large businesses selling software that simulates how physical products perform, becoming standard tools in aerospace, autos, and electronics.

Then

Simulation replaced much physical prototyping across industry.

Now

These firms became entrenched incumbents, with Synopsys agreeing to buy Ansys for about $35 billion in 2024.

Why this matters now

PhysicsX is selling a faster alternative to exactly this kind of simulation, which means competing with deep-pocketed incumbents now adding their own AI.

Sources

(7)