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.
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.
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.
Given what a material has to do, the platform points to candidate approaches and shows the published work behind each one.
Predictions come as ranges, not single numbers, and they include the variation that comes from the feedstock.
Start from the performance you need and get candidate formulations to test, instead of starting from a guess.
You can follow a suggestion back to the work it came from.
A prediction that hides how far it can be trusted is not worth having.
The platform narrows the options. Testing still decides.
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
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