An oversubscribed $300 million Series C fundraising with a valuation of roughly $2.4 billion was disclosed on Monday by PhysicsX, the physics artificial intelligence (AI) firm for industrials.
According to a release from PhysicsX, Temasek is leading the funding round, with participation from new investors M&G Investments and Intrepid Growth Partners in addition to current investors Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, and Siemens.
It should be mentioned that Temasek made its initial investment in PhysicsX in 2025 and has been crucial to the company’s growth and international expansion.
The funding coincides with PhysicsX’s explosive expansion, as it has more than doubled its client base in the last year, tripled booked revenue, and doubled year-over-year recognized revenue.
The crew has doubled in size during the past 12 months, reaching over 300 members.
The company’s global expansion, platform capabilities, and frontier research—including the creation of larger, more potent pre-trained physics AI models known as Large Physics Models—will all be accelerated by this round.
In order to boost hardware innovation and increase engineering and manufacturing productivity in industrial enterprises, PhysicsX is creating and implementing its AI-native engineering platform.
The industries that produce the most important gear in the world—aerospace & military, energy, semiconductors, automotive, materials manufacturing, and data centers—are under greater pressure than ever to deliver better goods on shorter lead times.
The simulation procedures at the core of hardware development are slow, costly, and challenging to scale, which is a reality that every engineer is familiar with.
The software stack of PhysicsX is designed to eliminate this bottleneck.
Engineering teams can assess orders of magnitude more design variations and apply physics insight throughout the entire product lifecycle, from early-stage design and manufacturing to real-time digital twins in operation, thanks to its AI models, which predict physical behavior in seconds rather than hours or days.
These days, the PhysicsX platform is used in semiconductors, automotive, energy, materials, industrial machinery, and aerospace and military.
The technology has reached a turning point for industrial adoption, therefore now is the time to accelerate since model architectures and GPU economics are now developed enough to allow physics AI at production scale.
“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. For decades, that has been the binding constraint on hardware innovation,
“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,” said Jacomo Corbo, Co-Founder and Chief Executive Officer of PhysicsX.
