BeyondMath, a deeptech generative physics startup, has raised £14 million in a seed round led by Cambridge Innovation Capital, alongside UP.Partners, Insight Partners, and InMotion Ventures. It develops a foundational AI model trained directly on first-principles physics to create engineering-grade simulations in minutes rather than hours or days. The funding will be used to scale commercial deployment and increase research capacity.
Engineering and industrial companies are struggling to design increasingly complex systems faster and more sustainably while using legacy simulation tools that cannot cope with modern hardware and AI-driven workflows. BeyondMath’s model enables simulations up to 1,000x faster than traditional supercomputing methods. It is capable of simulating complex physical phenomena, from aerodynamics to thermal management, and is used by automotive, aerospace, electronics, data centre and semiconductor manufacturers.
An example of its application is STRATA, a $19 million, three-year project with Honeywell, where the technology will simulate hundreds of iterations for complex aircraft components in seconds rather than days. This supports optimisation of internal fluid paths and thermal performance to deliver lighter, more efficient aerospace parts. Partnerships also include NVIDIA and AWS, while automotive customers include an F1 team using the platform for real-time testing of thousands of design combinations.
Founded in 2022 by Alan Patterson and Darren Garvey, BeyondMath has developed what it describes as the world’s largest foundational physics model. The company plans to double its headcount and expand its customer base across Europe, the US and Japan.
Engineering teams require ever-faster, more flexible simulation, but do not have the technology to deliver on these demands. Generative physics introduces a fundamentally new approach to engineering, unlocking innovation across fields ranging from aerospace and automotive to data-centre design. We now have the capital and investor support to accelerate our research roadmap and scale commercial adoption. This could be the ChatGPT moment for physics.
BeyondMath is tackling one of the hardest and most valuable problems in engineering. By combining first-principles physics with modern AI, the team has built a platform that can redefine how complex systems are designed across multiple industries. We look forward to supporting Alan, Darren and the team as they continue to scale.
