AI-native materials R&D · A DLR spin-off project

What a lab learns,
it mostly forgets.

We use AI to connect siloed materials data, from papers to labs to simulations, into one intelligence that transforms how new materials are discovered.

Partner with us What we do
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The problem

Scientific judgment is scattered.

Decades of knowledge, fragmented across papers, notebooks and heads. Every program starts from zero.

Published papers4,218
Internal lab runs318
Preprints & datasets12,470
Notebooks & headsuncounted
The cost of starting over
0–0
years

to bring one new material to market.

0%
of programs fail

lost to trial-and-error.

0%
never scale

of new chemical innovations.

Existing tools store experiments. They don't tell you what to do next.

What we do

From scattered science to new materials.

Decades of materials knowledge sit locked in separate worlds. We connect them into one intelligence that transforms how research is done.

Published papers
Lab archives
Simulations
Siloed today
One materials intelligence
The next experiments, reasoned from all of science
Simulated before anything reaches the bench
New materials in years, not decades
Research, transformed
What changes
15 2–3

Test 2–3 options instead of 15. Up to 0% faster iteration.

Who we are

A spin-off project from the German Aerospace Center.

Prakul Pandit

Prakul Pandit

Co-founder · CEO
Dora Tempelaars-Busa

Dora Tempelaars-Busa

Co-founder · COO
Prof. Dr. Ameya Rege

Prof. Dr. Ameya Rege

Co-founder · Chief Scientist
Sugan Kanagasenthinathan

Sugan Kanagasenthinathan

Founding Engineer

Let's build materials intelligence together.

Taking pilots

Starting with catalysts.

Partnerships

From shared data to co-developed materials, with industry and academia.

Partner with us contact@elarixlabs.com