PhysicsX, a physics AI company focused on industrial engineering and manufacturing, announced an oversubscribed $300 million Series C financing round at an approximately $2.4 billion valuation. The round was led by Temasek, with participation from new investors M&G Investments and Intrepid Growth Partners, alongside existing investors including Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, and Siemens.
Founded to accelerate hardware innovation, PhysicsX develops an AI-native engineering platform designed to improve engineering and manufacturing productivity. The company’s software uses AI models to predict physical behavior in seconds instead of hours or days, allowing engineering teams to evaluate significantly more design options and apply physics-based insights throughout the product lifecycle, from design and manufacturing to operational digital twins.
The company serves industries including aerospace and defense, semiconductors, automotive, industrial machinery, energy, materials manufacturing, and data centers. PhysicsX said advances in model architectures and GPU economics have enabled physics AI to reach production-scale deployment, creating a major opportunity for broader industrial adoption.
The financing comes during a period of rapid growth for the company. PhysicsX reported that recognized revenue doubled year over year, booked revenue tripled, and its customer base more than doubled over the past year. The company has also expanded its workforce to more than 300 employees, doubling headcount over the last 12 months.
The new capital will be used to support global expansion, enhance platform capabilities, and advance frontier research efforts, including the development of larger pre-trained physics AI models known as Large Physics Models.
KEY QUOTES:
“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. We are also enabling more reliable, more efficient, and altogether new ways of doing engineering, manufacturing, and production. This financing lets us put that capability in the hands of more engineers and push the frontier toward ever larger and more capable Large Physics Models.”
Jacomo Corbo, Co-Founder & CEO, PhysicsX
“High-fidelity physics simulation has always been powerful, but it has also been slow, costly, and the preserve of a small group of specialists. Physics AI changes that in every dimension. It makes high-fidelity simulation dramatically more efficient, augments and improves on pure simulation results with ingestion of real-world data into our Large Physics Models, and opens it to applications that were never practical before. We believe in the democratization of this technology to broad technical profiles across an industrial organization, engineers, designers, and operators who previously couldn’t run these analyses themselves. As that capability spreads, its utility compounds across the business. That’s the change we’re driving.”
Robin Tuluie, Founder and Chairman, PhysicsX
