Polaron, a London-based startup using AI building the “intelligence layer for materials science”, has raised $8m (£5.85m).
The startup was launched to address the challenge of engineers having to use manual work, isolated tools and trial and error to understand the materials used in the manufacturing of products.
It does this by training AI models on microscopy images and measured properties of materials, allowing machines to interpret microstructures and explain the behaviour of different materials based on the arrangement of grains, pores, defects, etc.
“For 150 years, industry has used machines to shape materials,” said Isaac Squires, co-founder and chief executive of Polaron.
“Now, we are teaching machines to understand them. Polaron is building an intelligence layer powered by the world’s materials data for faster discovery, better design and a new generation of advanced materials.”
The investment round was led by Racine2, a fund led by Serena and Makesense. Additional funding came from Speedinvest, Futurepresent and angels.
Florian Obst, Principal investor with Speedinvest’s AI & Infra investment team:
“What impressed us about Polaron is its focus on the point where materials innovation often breaks down: translating scientific insight into manufacturable reality,” said Florian Obst, principal investor at Speedinvest.
“By grounding AI in real microstructural data and industrial constraints, Polaron is building a platform that can accelerate how advanced materials move from research into production.”
