Machine Learning Engineer

BeyondMath completes $18.5m Seed round to scale world's largest foundational physics AI model. Tony Quested Business Weekly 25 Feb 2026 Cambridge-born DeepTech company BeyondMath, which has developed a first-of-its-kind generative physics model, has closed a $10 million Seed round extension led by Cambridge Innovation Capital, alongside existing investors including UP.Partners, Insight Partners, and InMotion Ventures. This extension wraps up the Seed round at a huge total of $18.5m. 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 takes a fundamentally new approach with a foundational AI model trained directly on first-principles physics. This enables engineering-grade simulations to be created in minutes rather than hours or days, delivering results up to 1000x faster than traditional supercomputing methods. A key example of this impact is STRATA, a $19m, three-year project with Honeywell, where BeyondMath enables the simulation of thousands of iterations for complex aircraft components in seconds rather than days. By optimising internal fluid paths and thermal performance, this partnership accelerates the delivery of lighter, more efficient aerospace parts that are projected to deliver billions of dollars in fuel efficiency savings while significantly reducing global aviation emissions. Founded in 2022 in Cambridge by AI industry veterans Alan Patterson and Darren Garvey, and now headquartered in London, BeyondMath has developed the world's largest foundational physics model, which is capable of simulating complex physical phenomena, from aerodynamics to thermal management. Customers include major automotive, aerospace and electronics manufacturers, while it has established partnerships with NVIDIA and AWS. Its model has potential applications across industries such as automotive, aerospace, electronics, data centre design and semiconductor manufacturing. For example, in automotive engineering - where BeyondMath works with an F1 team - the platform supports real-time testing of thousands of design combinations to identify optimisations in aerodynamics and thermal management. The latest funding will be used to scale up the commercial deployment of BeyondMath's generative physics technology and increase its research capacity. The team expects to double its headcount this year and expand its customer base across Europe, the US and Japan. Alan Patterson, CEO of BeyondMath, said: "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." Edward Inns, a tech investment principal at Cambridge Innovation Capital, adds: "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."

BeyondMath secures $18.5M to expand its foundational physics AI model. BeyondMath has secured new funding to expand its generative physics AI model, aiming to help engineering teams run faster, more flexible simulations and accelerate adoption across key industrial sectors. London-based BeyondMath, a deeptech company that has developed a novel generative physics model, has raised a $10 million seed extension led by Cambridge Innovation Capital, with participation from existing investors including UP.Partners, Insight Partners, and InMotion Ventures. This brings total seed funding to $18.5 million. Engineering and industrial companies are under increasing pressure to design more complex systems faster and more sustainably, yet many still rely on legacy simulation tools that struggle to keep pace with modern hardware and AI-driven workflows. BeyondMath aims to address this gap with a foundational AI model trained directly on first-principles physics. The platform enables engineering-grade simulations to be produced in minutes rather than hours or days, delivering results up to 1,000 times faster than traditional supercomputing methods. Founded in 2022 by AI industry veterans Alan Patterson and Darren Garvey, BeyondMath has built what it describes as the world's largest foundational physics model, capable of simulating complex physical phenomena ranging from aerodynamics to thermal management. The company's customers include major automotive, aerospace, and electronics manufacturers, and it has established partnerships with NVIDIA and AWS. Speaking about the market need, BeyondMath CEO Alan Patterson said engineering teams require faster and more flexible simulation capabilities but currently lack the technology to meet 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's technology has potential applications across sectors, including automotive, aerospace, electronics, data centre design, and semiconductor manufacturing. The new funding will be used to scale commercial deployment of BeyondMath's generative physics technology and expand its research capacity. The company expects to double its headcount this year and grow its customer base across Europe, the United States, and Japan.