Company

Louis von Freytag-Loringhoven

CEO

Louis has a Master’s degree in Applied Earth Observation and Geoanalysis (EAGLE) at Würzburg University. He applied extensive experience with earth observation data not only in his studies, but also through internships at Airbus and Brockmann Consult, where he was developing new algorithms, remote sensing products and automated processes for big data. In addition to his technical skills, Louis excels in communication and presentation skills, having worked for many years as an independent promoter. At SuperVision, he leads business development and customer relations.

Karsten Wiertz

CTO

Karsten has an EAGLE Master's in Applied Earth Observation and Geoanalysis as well. His work experience spans not only remote sensing and geoscience, but also economics, agriculture, IT and management. At AVM Forstservice, he was able to optimize the company processes, which increased its performance. Combining his technical and soft skills, at SuperVision Karsten is leading the product development team.

Jan Kolmas

COO

After earning a Bachelor’s degree from Yale University and Master’s degree from Stanford University in Aerospace Engineering, Jan went to Germany to work at the European Space Agency (ESA) in space operations for 2.5 years. While at ESA, Jan founded Meteoritech, a startup which offered anomaly detection solutions for customers in the energy sector. It served as a valuable lesson in real-life business. At SuperVision, Jan takes care of finances, planning and operations.

Sebastian Bußmann

Chief Scientist

Sebastian has hands-on experience with geospatial data from his work at the Fraunhofer IGD research institute. Additionally, he is pursuing a Master’s in Applied Geoscience at TU Darmstadt, with a thesis focused on radar interferometry. At SuperVision, Sebastian leads the development of our detection capabilities that let us create a superior monitoring service.

Jakob Schwalb-Willmann

Advisory board member

Jakob is a PhD student at the University of Würzburg and the German Aerospace Center (DLR) with an academic background in Earth observation and spatial data science. His research focuses on the machine-learning-driven analysis and exploitation of integrated movement tracking and remote sensing data for geoanalytical applications. In particular, he is investigating techniques to recognize patterns in the interaction of animal movements and environmental conditions. He has extensive experience in using and developing Open Source software tools for analyzing imagery and spatial data, primarily for pattern recognition, and has a passion for visualizing data.

Web page: http://jakob.schwalb-willmann.de/