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.

