A platform that learns your elastomer chemistry and predicts how a compound will behave — before you mix it. Forward prediction from recipe and process, and inverse design from a target spec.
Recipe and process go in; cure curve, hardness, tensile and more come out — with a confidence band.
Give it a target spec — hardness, compression set, cost — and it proposes candidate recipes to test.
Models learn across labs without ever pooling raw recipes. Isolated by design, opt‑in, revocable.
We're working with a handful of R&D teams while the platform is in private beta. Tell us a little about your lab and we'll set up a demo.