
Polaron is a company that uses AI to accelerate the design and development of advanced materials. Their platform leverages machine learning to analyze microstructural data, enabling faster characterization, optimization, and reconstruction of materials. Polaron aims to reduce prototyping steps, gain deeper insights into material properties, and optimize manufacturing processes for cost reduction and improved performance. They are a spin-out from Imperial College London and focus on applications in areas like battery technology, alloys, and ceramics.

Polaron is a company that uses AI to accelerate the design and development of advanced materials. Their platform leverages machine learning to analyze microstructural data, enabling faster characterization, optimization, and reconstruction of materials. Polaron aims to reduce prototyping steps, gain deeper insights into material properties, and optimize manufacturing processes for cost reduction and improved performance. They are a spin-out from Imperial College London and focus on applications in areas like battery technology, alloys, and ceramics.
What they do: AI platform that analyzes microscopy image data to automate microstructure characterisation and enable generative microstructural design
Founded: 2023 (spin-out from Imperial College London)
Stage / funding: $8M raised (Feb 3, 2026)
Core customers / applications: Batteries, metals, ceramics, composites, and other advanced materials industries
Materials characterisation, generative materials design, and process-structure-performance optimisation
2023
Software Development
$8,000,000
Co-investors include Speedinvest, Futurepresent and angel investors
“Backed by Racine2, Speedinvest, and Future Present”
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Polaron is a spin-out from Imperial College London, founded by Dr. Isaac Squires, Dr. Steve Kench, and Dr. Sam Cooper. The founders were united by their desire to harness engineering, artificial intelligence, and materials science to build the materials of the future.
Our mission is to become the world leaders at the interface between AI and materials. Through relentless dedication to innovation and pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future.
Senior Machine Learning Engineer London, England, United Kingdom Full-time unspecified
You’ll be joining our team of nine as a senior ML engineer. This role grants you a significant degree of autonomy and influence over the development and direction of the platform and product. We’re building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work.
We are a largely office-based company, with typically 4 days a week in the office and 1 day WFH. However, we operate flexible working policies, so depending on a candidate's individual needs, we can discuss an arrangement that works for you.