The intelligence layer for materials science.
Polaron connects process, structure, and performance using AI and image data to accelerate how materials are characterised, designed, and manufactured.
Microstructure dictates performance.
From batteries and composites to metals and ceramics, material performance is determined by the relationship between how a material is made, what it looks like inside, and how it behaves in the real world.
These process–structure–performance relationships drive the critical behaviours of materials, such as ageing, failure, strength, yield, uptime, cost, and more.
These process–structure–performance relationships drive the critical behaviours of materials, such as ageing, failure, strength, yield, uptime, cost, and more.
Microstructure characterisation and design is a critical bottleneck.
Microstructure is the critical link between process and performance.
Microstructure provides us with the causal link between how things are made and how they behave.
Microstructure characterisation and design is hard.
Existing workflows rely on outdated tools and human expertise which produce inaccurate and slow results.
Longer R&D cycles, missed opportunities.
This creates a bottleneck in the R&D process, slowing down innovation, introducing risk, and impacting competitive advantage.
Characterisation
Automatically extract quantitative, reproducible microstructural metrics from microscopy data. Identify cracks, porosity, phases, grain structures, connectivity, and degradation mechanisms without manual scripting or subjective thresholds.
Design
Learn how processing choices influence structure and performance, then explore thousands of manufacturable designs and process combinations in silico. Replace slow trial-and-error experimentation with targeted, data-driven optimisation.
Enterprise-ready intelligence
Built for real manufacturing environments.
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Production-grade software
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Secure by design, with siloed data and controlled access
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Scalable and API-enabled for high-throughput analysis
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Modality agnostic across SEM, CT, optical, and more
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Observable and validated outputs
Backed by leading investors and research institutions
Speak to an engineer.
The first conversation is about understanding your materials challenges, your data, and your existing workflows.
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