London-based PhysicsX, which develops physics AI software for industrial engineering and simulation acceleration, has raised an oversubscribed $300 million Series C financing at a valuation of approximately $2.4 billion.
- Launched by Jacomo Corbo and Robin Tuluie, PhysicsX builds software that replaces parts of traditional engineering simulation with machine-learning models that approximate physical behavior.
- It trains models on combinations of simulation outputs and real-world industrial data to predict how systems behave under conditions like stress, heat, flow, and vibration. Engineers use these models by inputting design parameters, and the system returns fast predictions of performance outcomes.
- The workflow is typically integrated into existing industrial design pipelines in sectors such as aerospace, automotive, semiconductors, and energy. Instead of running slow numerical simulations for each design iteration, teams can test large numbers of variations quickly and use the results for design selection, optimization, and system analysis.
- The same approach is extended into broader “Large Physics Models,” which aim to generalize across different types of physical systems and engineering problems, reducing reliance on case-by-case simulation setups.
Details of the deal
- The round was led by Temasek, with participation from M&G Investments and Intrepid Growth Partners. Existing backers also joined the round, including Applied Materials, Atomico, General Catalyst, and NVIDIA, Siemens.
- The fresh capital is intended to scale PhysicsX’s engineering platform, expand its physics AI and Large Physics Models, and accelerate deployment across industrial customers while strengthening research and compute infrastructure for faster simulation and design workflows.
