Business

PhysicsX Raises $300M Series C Led by Temasek to Scale Engineering AI

5 min read1058 words3 sources
Key takeaway

PhysicsX’s $300M Series C at a $2.4B valuation, led by Temasek with Nvidia and Siemens returning, confirms that AI-native physics simulation has crossed from research novelty to industrial necessity.

--- headline: "PhysicsX Raises $300M Series C Led by Temasek to Scale Engineering AI" slug: physicsx-300m-series-c-temasek category: business story_number: "08" date: 2026-06-09 ---

# PhysicsX Raises $300M Series C Led by Temasek to Scale Engineering AI

A London-based startup that shrinks engineering simulations from days to seconds just hit a $2.4 billion valuation — and its backers include some of the world’s most storied names in deep tech and industrial investment.

PhysicsX announced on June 8, 2026 that it had closed an oversubscribed $300 million Series C round led by Singapore’s Temasek, vaulting the company into the upper tier of European AI startups and underscoring surging enterprise demand for AI-powered physical simulation. The raise more than doubles PhysicsX’s private valuation in under a year — the company was valued at just under $1 billion following its Series B.

The round drew a wide syndicate of new and returning investors. New participants include M&G Investments and Intrepid Growth Partners. Returning investors — a roster that reads like a who’s who of industrial AI — include Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, and Siemens.

What PhysicsX Actually Does

Founded in 2019 and headquartered in London, PhysicsX was built around a deceptively simple premise: the physics equations governing how aircraft wings flex, how semiconductor heat spreads, or how an engine combusts have not fundamentally changed — but the speed at which engineers can probe those equations has been catastrophically slow. Traditional high-fidelity simulations can take hours or days to run. PhysicsX replaces that computational bottleneck with AI models that predict physical behavior in seconds, enabling engineering teams to evaluate orders of magnitude more design variants across a product’s full lifecycle — from early-stage concept through manufacturing and into real-time digital twins in operation.

The company was co-founded by Jacomo Corbo (CEO), Robin Tuluie, and Nicolas Haag. Both Tuluie and Haag honed their instincts for the limits of classical simulation at the apex of engineering competition: Formula One racing. That pedigree is now deployed across far broader terrain. The PhysicsX platform currently serves customers in aerospace and defense, automotive, semiconductors, industrial machinery, energy, and materials — industries where a faster design iteration cycle does not just save engineering hours; it can determine whether a program reaches market at all.

Corbo framed the stakes plainly in the company’s announcement: “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. 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.”

The Numbers Behind the Story

The Series C was not merely a valuation milestone — it followed a year of exceptional commercial traction. According to the company, PhysicsX doubled its year-over-year recognized revenue, tripled its booked revenue, and more than doubled its customer count over the past twelve months. The team itself has grown in parallel, crossing 300 employees after doubling headcount in a year. For a deep-tech company tackling frontier AI research, that rate of commercial uptake is striking.

Temasek’s role as lead investor adds a strategic dimension beyond capital. The Singapore state investment firm first backed PhysicsX in 2025 and has since played an active role in supporting international expansion — a signal that PhysicsX is now pursuing growth across Asia-Pacific markets, where manufacturing-intensive economies represent a natural customer base.

The new capital will be directed toward three priorities: accelerating global expansion; broadening platform capabilities; and building what PhysicsX calls “Large Physics Models” — the company’s term for pre-trained foundation models tuned to physical domains, analogous in concept to large language models but grounded in the laws of thermodynamics, fluid dynamics, and structural mechanics rather than natural language.

Why It Matters

PhysicsX’s raise is the clearest signal yet that “AI for physical simulation” is graduating from academic curiosity to enterprise necessity. For years, the simulation software market was dominated by legacy CAE vendors like Ansys, Siemens NX, and Dassault Systèmes. Their tools are powerful but computationally expensive, often inaccessible early in the design cycle. A generation of AI-native challengers — PhysicsX, Cadence’s AI tools, Rescale, and others — is now forcing a reckoning in that market.

What makes PhysicsX’s position distinctive is its breadth. Rather than solving one physics regime (say, computational fluid dynamics alone), the company is building a unified platform intended to carry physics insight across the entire product lifecycle. The NVIDIA and Siemens co-investments are particularly telling: both companies have deep financial and strategic interests in the simulation and digital twin space, and their continued participation in the Series C suggests they see PhysicsX as complementary to — rather than merely competitive with — their existing platforms.

The $2.4 billion valuation also cements PhysicsX as one of the most valuable AI startups to have emerged from Europe, at a moment when the continent’s deep-tech ecosystem is under pressure to demonstrate that it can produce globally competitive AI companies rather than ceding ground to U.S. and Chinese rivals.

What to Watch

Three threads are worth tracking as PhysicsX deploys this capital. First, the Large Physics Models initiative: whether the company can deliver a broadly capable pre-trained foundation model for physical domains — and whether that model can be fine-tuned cheaply enough to serve mid-market industrial customers — will be the defining technical test of its next phase. Second, international expansion: Temasek’s strategic involvement points toward Asia, but the specifics of which geographies and which verticals PhysicsX prioritizes will reveal how it intends to compete with established simulation players on their home turf. Third, the competitive response: a $300 million raise at a $2.4 billion valuation will not go unnoticed by the legacy CAE vendors or by well-funded AI challengers. Expect partnerships, acquisitions, or accelerated product investments from that quarter within the next twelve months.

For now, PhysicsX has done what most deep-tech startups only dream of: it has turned a physics equation into a billion-dollar business — and persuaded some of the world’s most sophisticated capital allocators that the equation has a great deal further to run.

--- Sources: PhysicsX official announcement (physicsx.ai), Bloomberg, Sifted, Silicon Republic, TNGlobal, Seeking Alpha, Finsmes

“We are giving engineers the ability to explore thousands of designs where they once managed a handful, in seconds rather than weeks.”
— Jacomo Corbo, Co-founder and CEO, PhysicsX
$300M
Series C
$2.4B
Valuation
300+
Employees
2x
YoY revenue

Sources

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