Industrial expertise becomes predictive intelligence
ai-predict offers customers a software platform that transforms a company’s expert knowledge into systematically usable industrial intelligence. We develop AI Twins for complex chemical formulations and materials based on our Deep Knowledge Integration (DKI) approach, which combines experimental data, physico-chemical models and expert knowledge in a modular AI platform.
The system is flexibly scalable – across users and licenses, across additional properties and technologies, and across the entire product lifecycle from lab to production to application – and enables companies to transform their data and domain knowledge into predictive decision intelligence, e.g. for specialty chemicals and advanced materials.
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 Sales
Mathias is responsible for marketing, sales and go-to-market 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.
Martina Kratt
Data Science
Martina brings physical expertise and experience in simulation, software development and data-driven analysis to ai-predict. With a master’s degree in physics (University of Konstanz) and a focus on machine learning and deep learning, she develops data-based models and AI twins for complex industrial problems.
martina.kratt@ai-predict.de
Jan Oldenburg
Data Science
Master’s degree in mathematics from the University of Greifswald with specializations in data science and bioinformatics. His focus is on explainable artificial intelligence and the development of models for interdisciplinary teams, with an emphasis on knowledge integration.
jan.oldenburg@ai-predict.de
Joshua Holly
Lead SWD
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
Yannick Häßler
Software Development
yannick.haessler@ai-predict.de