Who we are
Having started off as a spin-off of the WZL
at the RWTH Aachen, …
…we are now a strongly growing start-up with 15 employees and close connections to industry and science.
‘The greatest possible realization of the potentials of digitization is indispensable in order to take a pioneering role in the competition of manufacturing companies on global markets.’
This awareness guides us from the beginning!
In practice, IconPro supports manufacturing companies in the digitization of their production. IconPro develops software for industrial application of artificial intelligence, – in individual projects and as software-as-a-service. IconPro offers various services to support and implement industrial AI projects, ranging from software development and consulting on the appropriate data structure to workshops and seminars.
We make production
more productive and resilient
…in strong cooperations with our international customers from medium-sized companies to large corporations. Our customers benefit by identifying optimization potentials in their production and quality processes.
Data is extracted from programmable logic controllers (PLCs) or central databases and analyzed using machine learning.
IconPro focuses on the application areas “predictive maintenance” of production units, “predictive quality” providing AI-based decision support during inspections, and “AI-based process analysis” for statistical analysis and correlation of production data.
Our solutions result in more repeatable, transparent and efficient processes in your production – resilient to disturbances.
Our objective is to help our customers focus on the essentials – developing and selling their product!
Meet some members of our team …
Dr.-Ing. Markus OhlenforstManaging Director
Markus Ohlenforst worked as head of a research group for production metrology at the WZL | RWTH Aachen University. He studied Computational Engineering Science in Aachen and won the Best Junior Engineer Award for his Master Thesis on automated uncertainty determination for On-Machine-Measurements. In the years after, he deepened his knowledge in various research and digitization projects for national and international industrial clients.
Dr.-Ing. Edgar DietrichManaging Director
Edgar Dietrich founded and led the Q-DAS GmbH & Co. KG. Before, he was professor for technical informatics in Mannheim. Q-DAS software set standards for quality assurance in industrial production with 200.000 users in 8.000 companies worldwide. In 2015, he sold Q-DAS to Hexagon MI. He is author of standard literature in process statistics and chair of the ISO TC 69 SC 4 responsible for all ISO standards for statistical analysis in product and process management.
Hermann RitterData Scientist
Hermann Ritter received his Bachelor in Data Science from Maastricht University, Netherlands. His focus there was applied Machine Learning. He is currently working as a full-time Data Scientist at IconPro, where he is working on Machine Learning solutions for Predictive Quality, focusing on AutoML for Predictive Quality. He is also doing a Master’s Degree in Data Science at RWTH University in part-time.
Akshay ParanjapeData Scientist
Akshay Paranjape has a master’s degree in Simulation Sciences from RWTH Aachen with a focus on Machine Learning. During his studies, he worked at Zeiss in the field of Computer Vision for classification problems. His thesis work on “Open Set Classification using Deep Learning” is recognized as IP of Zeiss. Prior to his thesis, he worked at Informatics Department at RWTH Aachen and obtained his bachelor’s degree in Physics from IIT Delhi, India.
Arjun HosabettuData Scientist
Arjun Hosabettu has a master’s degree in automotive engineering from RWTH Aachen. He did his master thesis and internship at AUDI, focusing on time series analysis and anomaly detection using deep learning in the field of thermal management of electric vehicles. He was student research assistant at fka Aachen in the automotive chassis department. He obtained his bachelor’s degree in mechanical engineering from VTU Belgaum, India.
Michael JostenData Scientist
Michael Josten holds a Master’s degree in General Mechanical Engineering from RWTH Aachen University, specialized in microsystems technology.
In his master thesis at the Fraunhofer Institute for Production Technology (IPT) he developed a pragmatic method for the selection, evaluation and prioritization of AI use cases in industry.
He worked at the chair of production metrology at the WZL | RWTH and acquired the additional qualification DGQ-Quality System Manager Junior.
Raphael MaasAdvisory Board
Raphael Maas is an Associate at the Boston Consulting Group (BCG). He holds master’s degrees in the fields of Engineering and Business (RWTH Aachen University, Tsinghua University) and has received multiple awards for his academic achievements. Prior to joining BCG, Raphael worked at IconPro as Assistant Manager, where he helped develop IconPro into what it is today.
Dr.-Ing. Martin PeterekAdvisory Board
Martin Peterek is managing chief engineer at WZL | RWTH Aachen University. He was awarded by the examination comitee for his dissertation about uncertainties of on-machine-measurements. His diploma thesis at the WZL got him an award by the Dr.-Ing. Siegfried Werth Foundation. Martin Peterek is a popular speaker and known as a scientific expert for distributed metrology systems and model-based production technologies.
Prof. Dr.-Ing. Robert SchmittAdvisory Board
Robert Schmitt is a professor at WZL | RWTH Aachen University. He is a member of the Boards of Directors the WZL as well as of the Fraunhofer IPT. Across the world and for many decades now the WZL has stood for successful and forward-thinking research and Innovation. Prof. Schmitt’s focus lies in the combination of measuring, software and assembly technology as well as in the quality-oriented process design, where he is known as one of the globally leading experts.
Raphael KieselAdvisory Board
Raphael Kiesel is head of the department Quality Intelligence at WZL of RWTH Aachen University. He has previously worked as a group leader at the Fraunhofer IPT and as manager of the community of the International Center for Networked, Adaptive Production (ICNAP). Raphael completed his master’s degrees in industrial engineering and mechanical engineering (RWTH Aachen, UW Madison). Apart from his work as head of department, he is currently a doctoral student at the RWTH and a MBA fellow at the Collège des Ingénieurs.