How materials teams use Polymerize to cut trial-and-error, hit property targets, and ship new products faster.
A Japanese TPU manufacturer hit precise targets for 10 material properties across two process flows, with over 95% prediction accuracy.
An additive manufacturing company digitised its FDM process data and used tailored ML models to optimise properties 60% faster than conventional methods.
An elastomer-sealing pioneer cut trial-and-error experiments by 50% and improved the mechanical performance of its end products with AI-guided formulation.
