Success stories & customer references

The „ReDiMon“ project developed realistic digital models for assembly systems that are automatically updated using AI-evaluated process data and 3D capture. This will make maintenance, troubleshooting and system planning much more efficient in future. ...

The „VIPER“ research project has developed a solution for predictive maintenance and online process optimisation of processing machines. Sensor and AI-supported analyses enable the automatic monitoring of machine states and the dynamic adjustment of process parameters.

The „Link4Pro“ research project has developed a system for the flexible networking of production facilities. By combining previously unused data sources and AI-supported analyses, companies can identify weak points and make their production processes more efficient. ...

The „ProMoA“ research project developed methods and IT tools for product-based, largely automated plant planning. As a result, new plants and changes to existing production plants can be planned more efficiently and evaluated with simulation support. ...

The EU research project „INCLUSIVE“ has developed an intelligent human-machine interface that adapts to the capabilities of the operator. The aim is to make complex production systems more accessible for different user groups while increasing productivity and acceptance.

In the „ViWiAC“ research project, a modelling tool was developed that visualises functional structures directly in CAD and links them to the component geometry. This makes functions comprehensible as early as the concept phase and significantly simplifies the analysis of function-design relationships.