BeyondMath Tech Stack

AI model for physics simulation, compressing design cycles from months to minutes

Software Development London 11–50 employees Founded 2022 Privately Held

BeyondMath builds a foundational AI model trained on physics laws to accelerate simulation-heavy design workflows. The stack (PyTorch, JAX, TensorFlow, OpenFOAM, ANSYS Fluent, STAR-CCM+) reveals a deep integration with legacy CFD tools—they're not replacing them wholesale, but bridging research to production through ML pipelines. All five recent hires are engineering-focused (4 roles) with director-level seniority, indicating they're scaling the core model and platform, not sales.

Tech Stack 10 technologies

Core StackPyTorch TensorFlow Python AWS Kubernetes Docker JAX OpenFOAM ANSYS Fluent STAR-CCM+

What BeyondMath Is Building

◆Challenges

Replacing traditional simulation methods
Optimizing models for inference
Slow pace of traditional tools
Scaling generative physics platform
Slow and expensive simulation methods

▲Active Projects

Architect physics-ai foundations
Bridge research & production
Advance geometry representation
Cfd-to-ml pipelines
High-fidelity data generation
Simulation automation
Deploy and scale generative physics platform
Develop playbooks for customer success hires
Generative physics simulation platform
Generative physics platform development

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

Support

Seniority

Senior

Director

Mid

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About BeyondMath

BeyondMath is a physics-AI platform founded in 2022 and based in London. The company targets aerospace, automotive, and energy sectors where simulation-driven design is a bottleneck—compressing cycles traditionally measured in months to minutes by running physics models through generative AI. The technical approach integrates with industry-standard solvers (ANSYS Fluent, STAR-CCM+, OpenFOAM) while training neural networks to learn and accelerate physics simulations. Current focus spans architecture of the core model, geometry representation, CFD-to-ML data pipelines, and platform deployment at customer sites.

HeadquartersLondon

Company Size11–50 employees

Founded2022

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What machine learning frameworks does BeyondMath use?

PyTorch, JAX, and TensorFlow. The stack also integrates OpenFOAM, ANSYS Fluent, and STAR-CCM+ to ground the AI model in real physics solvers.

What is BeyondMath working on?

Core projects include advancing geometry representation, building CFD-to-ML pipelines for high-fidelity data generation, scaling the generative physics platform, and developing customer success playbooks.