The Linz Center of Mechatronics GmbH (LCM) is a private non-university research organization located in Linz (Austria), which was founded in 2001.
LCM is a scientific service provider, which supports its customers and project partners along the entire innovation chain in the field of mechatronics. The activities span from basic research in cooperation with universities worldwide to solutions, prototypes and products for start-ups, SMEs and large enterprises. In 2018, the turnover was 21 million €. By the end of 2018 the LCM GmbH employs and coordinates about 170 researchers in the field of mechatronics. LCM performs high level mechatronics research and development in various thematic areas, including Process Modelling & Mechatronic Design, Sensors and Signals, Wireless Systems, Mechanics and Model Based Control, Information and Control, and Drives and Actuators. In these fields, LCM provides holistic solutions from numerical solutions to the development and implementation of mechatronic systems, ranging from functional demonstrators to prototypes and small-scale series. The mission of LCM is to develop cutting edge technologies and deploy those solutions across industries amongst existing and new partners.




LCMs work mainly focuses on activities with respect to the digital retrofitting of the use case plants, data acquisition and storage, process analysis and simulation, as well as generation of hybrid physics-based and data-driven digital twins for process representation and optimization.

Team involved

Veronika Putz

Data Analysis & AI

Leander Hörmann

Senior IoT and Data Engineer

Thomas Gross

Team lead “Digital Twin”

He furthermore is LCM’s appointed Area Coordinator, responsible for an ongoing exchange of know-how between university- and industry partners within the “K2 Competence Center for Symbiotic Mechatronics”. He holds a Master’s degree in Mechanical Engineering and a PhD in Computational Biomechanics. His main research interests include structural- and multiphysics simulation as well as the combination of physics-based and data-driven models for quasi real time process simulation.