PhysicsX, a London-based startup applying AI to engineering simulation, has raised $300 million in a funding round led by Singapore's Temasek, according to venture funding roundups published this week. The deal ranks among the largest AI raises of the period and reflects investor appetite for companies bringing machine learning to industrial and deep-tech problems rather than general-purpose chatbots.
The company's core technology is what it calls "Large Physics Models" — AI systems trained to predict the behavior of physical systems and dramatically accelerate the simulation work that underpins engineering design. Traditional high-fidelity simulation in domains like aerospace, automotive, and advanced manufacturing can take hours or days per iteration; PhysicsX positions its models as a way to compress those cycles, letting engineers explore far more design options in the same time.
The raise fits a clear pattern in the current funding environment, where capital is flowing toward specialized, domain-specific AI with measurable return on investment. Recent weeks have seen large checks written for companies applying AI to cloud-cost optimization, cybersecurity, and hardware design, with strategic investors and sovereign funds targeting sectors where AI delivers concrete efficiency gains.
For Temasek, the lead position signals continued conviction in industrial AI as a durable category. For PhysicsX, the $300 million provides runway to expand its model capabilities, grow its engineering and research teams, and pursue enterprise deployments with manufacturers that increasingly view AI-accelerated simulation as a competitive necessity rather than an experiment.
Source: [Crunchbase News](https://news.crunchbase.com/venture/biggest-funding-rounds-june-5-2026/)