At the OSIsoft Regional Seminars 2019 Munich we had the possibility to discuss the topic OT-meets-IT today from the perspective of a data analytics service provider. Our team members Thorsten Vogt and Kai Weber presented some use cases.

OT-meets-IT has been a central topic for us for several years now. For about 25 years now, we have been a service provider for large-scale industry, which originally included our direct neighbours, we come from Cologne, the chemical industry. But meanwhile we could convince a broad pallet of companies from all kinds of industries of us. We can count companies from the pharmaceutical, energy supply, metal and paper industries as well as the food industry among our customers.

Werusys has and has always had between 12 and 15 employees. We are currently on our way to becoming a completely digitalized company with flexible workstations (Home Office, Digital Nomads, etc.) in order to meet the modern requirements of IT work. Our core competence lies in the middle level, the production information or MES level of the company pyramid. We have been a partner of OSIsoft for many years and have expanded our data analytics capabilities with a new partnership with Seeq.

Our history can be described along the Industry 4.0 timeline. Unlike many other service providers, we have always developed our own products. The idea behind it was and is a kind of documentation of our expertise. We have made customer projects into functional modules of our MES, LIMS and energy management system. In the beginning we developed software for data acquisition, later production information systems, then management systems and currently optimization and data analysis systems, such as the Smartgrid energy management system we are currently working on.


Even when it comes to advanced technologies, we are never on the spot. Be it Cassandra, Graph Databases or Computer Vision. We keep an eye on everything and try to get the best out of our products with the help of these advances.

As a nice gimmick we have mapped the landmarks of our hometown Cologne as a timeline in the OSIsoft PI system and with the help of Seeq we have filtered out and differentiated the individual landmarks. The same can now easily be applied to the data acquisition of a production line to detect errors and patterns.