AI-supported formulations
At ai-predict, we transform your data into added value quickly, accurately and scalably – while you retain complete data sovereignty. Our AI software accelerates data preparation by automatically analyzing and validating data sets and transforming them into tailored solutions for formulations and recipes. The fully guided process allows you to start efficiently – tackling complex challenges (e.g. color + viscosity + cure combinations) – and scale up to complex multi-property/technology predictions or get a complete 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
Dr. Mathias Huck
Head of Sales
A natural scientist with a passion for software solutions – and above all for exciting customer projects. Mathias supports your ideas with experience, curiosity and an interest in customer-centric, efficient solutions. Feel free to get in touch, whether you have general questions or specific projects!
Markus Sommer
Chief Technology Officer
Graduate engineer in electrical engineering and computer science at Ravensburg-Weingarten University of Applied Sciences. Markus is Chief Technology Officer (CTO) at ai-predict and is responsible for IT topics including Software development.
+49 172 832 3318
markus.sommer@ai-predict.de
Klaus Zurell
Chief Science Officer
Physicist Christian-Albrechts-University / Kiel and Helmholtz Center for Materials and Energy Berlin. Klaus is Chief Science Officer (CSO) at ai-predict and is responsible for data, analytics and AI-supported modeling.
+49 151 202 29696
klaus.zurell@ai-predict.de
Thomas Zeler
CEO
Studied at the Stuttgart University of Cooperative Education and then at the University of Stuttgart (Diplom-Kaufmann). Thomas is CEO at ai-predict and is responsible for the commercial area as well as marketing and sales.
thomas.zeler@ai-predict.de
Joshua Holly
Master in Media Informatics at the HTW Berlin, experienced software engineer in the web sector. Joshua oversees team processes at ai-predict and also designs and implements strategies for stable software.
joshua.holly@ai-predict.de
Dr. Marco Schmid
Doctor of physics / chemist from Paris-Saclay / E. polytechnique, who also developed an enthusiasm for mathematics. Marco supports AI algorithm development in the Data Science department at ai-predict.
marco.schmid@ai-predict.de