Next generation AI material platform

Guided Material Development

Katalyst Nord is part of building a next generation AI material platform for anyone working with polymeric materials, to help increase success even before the first experiment is run.

Explore

See the whole space, then aim.

Materials sit in families, each with its own reach. A guided search shows where the families overlap and where the open space is, so the most promising route is tested first.

Foams Elastomers Polymers Composites Hybrids Density (logarithmic) Strength (logarithmic)
Suggest

Formulation and process options, traced to their sources.

Given what a material has to do, the platform points to candidate approaches and shows the published work behind each one.

Predict

Properties, with the uncertainty stated.

Predictions come as ranges, not single numbers, and they include the variation that comes from the feedstock.

Design

Work backwards from the performance you need.

Start from the performance you need and get candidate formulations to test, instead of starting from a guess.

How it works with you

The model proposes.
You guide and verify.

  • Every answer shows its sources.

    You can follow a suggestion back to the work it came from.

  • Every number shows its uncertainty.

    A prediction that hides how far it can be trusted is not worth having.

  • The experiment stays yours.

    The platform narrows the options. Testing still decides.

In development

It all starts with a step.

Send a short note about the question you are trying to answer, and we will tell you when there is something to try. See you soon at formuli.ai

Get in touch