Nvidia Expands AI Manufacturing Push with PhysicsX $100M Backing
PhysicsX, a UK-based deeptech company spun out of the world of Formula One and computational physics, is redefining how hardware gets built. The startup uses AI-driven simulation to accelerate product design and engineering, aiming to make physical manufacturing cycles as fast and iterative as software development.
Now, Nvidia is making a big bet on that vision. The chipmaker has committed up to $100 million to PhysicsX — starting with an immediate $20 million investment, followed by an option to contribute another $80 million in future rounds. The move underscores Nvidia’s growing interest in simulation and AI tools that sit at the intersection of physics, computation, and next-generation manufacturing.
For Nvidia, this isn’t just a financial play — it’s a strategic alignment. PhysicsX’s technology relies heavily on GPU-based computation, making it a natural extension of Nvidia’s ecosystem. And for PhysicsX, Nvidia’s backing could accelerate its mission to close the gap between digital design and physical innovation — turning the centuries-old world of industrial engineering into something that moves at AI speed.
The investment follows a period of rapid commercial growth for PhysicsX, which has more than doubled its annual recurring revenue to around $25 million over the past 12 months. Most of its business comes from defence and aerospace, with clients such as Rio TintoDealroom has a profile for this one. Try Dealroom →, SiemensDealroom has a profile for this one. Try Dealroom →, and Applied MaterialsDealroom has a profile for this one. Try Dealroom →, and growing traction across semiconductors, materials, automotive, and energy.
For Nvidia, it’s another strategic foothold in the fast-forming ecosystem of AI-native engineering tools . For PhysicsX, it’s a chance to turn its ambitious vision into industrial reality — and perhaps redefine what it means to build the future, one simulated design at a time.
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