AI-supported formulations
At ai-predict, we transform your data into added value quickly, precisely and scalably – while you retain complete data sovereignty. Our AI software accelerates data preparation by automatically analyzing and validating data sets and converting them into tailor-made solutions for formulations and recipes. The fully guided process allows you to get started efficiently – tackling complex challenges (e.g. color + viscosity + cure combinations) – and scale up to complex predictions with multiple properties/technologies or get a full AI twin of your R&D and production!
Our modular AI web platform offers customers maximum flexibility. Even with limited or difficult data sets, we deliver customized, reliable and industry-ready solutions for specialty chemicals (and far beyond).
What sets us apart is our Deep Knowledge Integration (DKI) approach: We combine AI with physico-chemical models and your expert knowledge to create adaptive, high-quality solutions like AI twins.
Team
The people behind the AI
Markus Sommer
CEO
Graduate engineer in electrical engineering and computer science at Ravensburg-Weingarten University of Applied Sciences. Markus is one of the founders of ai-predict and as Chief Executive Officer he is responsible for the commercial area as well as the strategic sales and marketing orientation.
+49 172 832 3318
markus.sommer@ai-predict.de
Klaus Zurell
CAIO
Physicist Christian-Albrechts-Universität / Kiel and Helmholtz Center for Materials and Energy Berlin. Klaus is one of the founders of ai-predict and, as Chief AI Officer, is responsible for data, analytics and AI-supported modeling.
+49 151 202 29696
klaus.zurell@ai-predict.de
Silvio Wagner
CTO
Graduated in industrial engineering and electrical engineering at Chemnitz University of Applied Sciences. Silvio is Chief Technology Officer at ai-predict and is responsible for the technological direction and platform development at ai-predict.
silvio.wagner@ai-predict.de
Dr. Mathias Huck
Head of GTM
Mathias is responsible for GTM (including marketing and sales) and is the central point of contact for our customers. With a scientific background and many years of industry experience, he provides companies with holistic support – from the initial exchange to successful implementation.
Dr. Marco Schmid
Lead DS
Marco holds a doctorate in physics/chemistry (Paris-Saclay / École Polytechnique) with strong mathematical expertise. As Lead Data Scientist, he develops and implements the central AI and data models at ai-predict.
marco.schmid@ai-predict.de
Joshua Holly
Lead SWE
Master in Media Informatics at the HTW Berlin, experienced software engineer in the web sector. As a full stack developer, Joshua is responsible for both frontend and backend development, from the user interface to the database.
joshua.holly@ai-predict.de