PhysicsX Raises $300M Series C to Accelerate Physics AI for Industrial Engineering

June 23, 2026

PhysicsX is a London-based AI startup that builds physics simulation models for industrial engineering teams. Founded by former Formula 1 engineers and AI researchers, the company replaces slow traditional simulation software with AI models that predict physical behaviour in seconds rather than hours or days.

What Is PhysicsX

PhysicsX is an AI-native engineering platform that accelerates hardware innovation across aerospace, automotive, semiconductors, and energy. Its core product uses large physics models to simulate how materials and components behave under real-world conditions, replacing traditional computational fluid dynamics tools that require specialist engineers and days of compute time.

The platform is deployed across the full product lifecycle. Engineering teams use PhysicsX from early-stage design through to real-time digital twins in live operation. The result is faster iteration, fewer physical prototypes, and significant cost savings for industrial customers.

The $300M PhysicsX Series C Round

PhysicsX announced an oversubscribed $300 million Series C on June 8, 2026, at a valuation of approximately $2.4 billion. The round was led by Singapore’s Temasek, with new investors M&G Investments and Intrepid Growth Partners joining the cap table. Existing backers NVIDIA, Siemens, Atomico, General Catalyst, Applied Materials, NGP, July Fund, and Radius also participated.

The company has doubled its year-over-year recognised revenue, tripled booked revenue, and more than doubled its customer count in the past twelve months. (Source: PhysicsX press release, June 8, 2026)

PhysicsX will deploy the capital across three priorities: global expansion of engineering teams and customer deployments, particularly in Asia; broader platform capabilities for non-specialist operators and designers; and frontier research into larger, more powerful pre-trained physics models.

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Why This Matters for UK Startups

PhysicsX’s Series C is one of the largest rounds raised by a UK deeptech company in 2026. It adds to a strong year for British AI investment, with the UK on track for more than $15 billion in startup funding by year end, up 52 percent year on year according to Tracxn. PhysicsX sits at the intersection of two of Britain’s strongest sectors: AI and advanced manufacturing.

The company’s success also validates the UK’s deeptech talent pipeline. PhysicsX was founded by engineers who worked at the highest levels of Formula 1 and academic AI research. That combination of domain expertise and AI capability is exactly the profile that investors are now prioritising over generalist software startups.

Industries PhysicsX Is Transforming

PhysicsX currently serves six major industrial sectors. In aerospace and defence, its models have reduced aircraft design cycles from months to days. In semiconductors, the platform enables chip designers to evaluate far more thermal and fluid designs before committing to fabrication. In automotive, it accelerates aerodynamics testing that would otherwise require expensive physical wind tunnel sessions.

Energy and materials companies use PhysicsX to model component behaviour under extreme conditions, reducing the cost of physical testing. Industrial machinery customers use it to improve reliability predictions for complex mechanical systems. Across all sectors, the core value is the same: more design variants evaluated in less time, at a fraction of the cost of traditional methods.

The Technology Behind PhysicsX

PhysicsX builds what it calls large physics models. These are trained on vast libraries of simulation data and physical measurements to learn how materials and structures behave. Once trained, the models predict outcomes for new designs in seconds, where traditional solvers would take hours of compute time on expensive hardware.

The approach is fundamentally different from wrapping a large language model around existing simulation software. PhysicsX trains its models on physics-native data, meaning outputs carry physical meaning and can be trusted for real engineering decisions. NVIDIA’s participation as an investor signals that PhysicsX’s workloads are seen as a significant future compute category, alongside AI training and inference.

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Key Takeaways

PhysicsX raised $300 million in an oversubscribed Series C on June 8, 2026, at a $2.4 billion valuation. The round was led by Temasek with participation from NVIDIA, Siemens, and General Catalyst. The company has doubled recognised revenue and tripled booked revenue year on year. PhysicsX cuts engineering simulation from days to seconds across aerospace, automotive, semiconductors, and energy. Funds go toward global expansion, platform broadening, and frontier physics model research. The raise marks PhysicsX as one of the UK’s most valuable deeptech companies in 2026.

FAQ

Q: What is PhysicsX?
A: PhysicsX is a London-based AI startup building physics simulation models for industrial engineering. Its platform cuts design cycle times from days to seconds across aerospace, automotive, and semiconductor sectors.

Q: How much did PhysicsX raise in its Series C?
A: PhysicsX raised $300 million in an oversubscribed Series C on June 8, 2026, at a valuation of $2.4 billion, led by Temasek.

Q: Who invested in PhysicsX?
A: Temasek led the round. Other investors include M&G Investments, NVIDIA, Siemens, Atomico, General Catalyst, Applied Materials, NGP, July Fund, and Radius.

Q: What industries does PhysicsX serve?
A: PhysicsX serves aerospace and defence, semiconductors, automotive, industrial machinery, energy, and materials across the full product lifecycle from early design to real-time digital twins.

Q: Why did Temasek lead the PhysicsX Series C?
A: Temasek, Singapore’s state investment firm, has been building a portfolio of AI infrastructure and deeptech companies. PhysicsX fits its thesis of backing AI platforms with clear industrial customers and proven revenue growth.

Laura Anderson

I am an international content writer and professional journalist with over 5 years of experience in news writing, startup coverage, business trends, and finance-related reporting. I specialize in creating accurate, engaging, and timely content that helps readers stay informed about emerging companies, market movements, entrepreneurship, and global industry developments. I have worked with multiple digital publications, delivering reader-focused articles that combine in-depth research, clarity, and credibility. My expertise includes startup news, financial updates, business insights, and high-quality editorial storytelling.

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