London-based deeptech company building a foundational physics AI model to deliver engineering-grade simulations up to 1,000x faster than traditional methods for applications across aerospace, automotive, electronics, data centres and semiconductors.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| $18.5 M | Feb, 2026 | seed |
Frequently Asked Questions
Where is BeyondMath located?
BeyondMath is located in London, United Kingdom.
What industries does BeyondMath operate in?
BeyondMath operates in the following industries: deeptech, artificial intelligence, physics simulation, aerospace, automotive.
When was BeyondMath founded?
BeyondMath was founded on 2026-02-25.
How much total funding has BeyondMath raised?
BeyondMath has raised a total of $18,500,000.
Who are the investors in BeyondMath?
The investors in BeyondMath are: Unspecified Lead Investor, UP.Partners, Insight Partners, InMotion Ventures.
Who are the founders of BeyondMath?
The founders of BeyondMath are: Alan Patterson.
What is BeyondMath and how does it benefit the engineering industry?
BeyondMath is a deeptech company that provides a generative physics platform designed to revolutionize engineering simulations. By using a foundational AI model trained on the laws of physics, it allows engineers to move from concept to production significantly faster, reducing design cycles that traditionally take months down to just minutes.
How does the simulation speed of BeyondMath compare to traditional supercomputing methods?
BeyondMath offers simulations that are up to 1,000 times faster than traditional numerical methods like Computational Fluid Dynamics. While legacy tools may require hours or days to solve complex problems, this AI-driven approach delivers engineering-grade results in seconds or minutes.
What core technology powers the BeyondMath simulation platform?
The platform is powered by the world's largest foundational physics AI model. Unlike standard AI that only learns from past simulation data, this model is trained directly on first-principles physics, allowing it to accurately predict complex phenomena such as aerodynamics and thermal management across various industrial applications.
Which industries can utilize BeyondMath for their research and development?
BeyondMath serves a wide range of high-performance industries, including automotive, aerospace, electronics, and semiconductor manufacturing. It is used by Formula 1 teams for real-time aerodynamic testing and by major aerospace companies to optimize aircraft components for better fuel efficiency.
Does BeyondMath require users to provide their own training data to get results?
No, the foundational model is pre-trained on physical laws, which reduces dependency on customer data. This allows companies to integrate the technology quickly into their existing Computer-Aided Engineering workflows and receive high-fidelity results without extensive custom model training.