Adaptive Cruise Control systems adjust vehicle speed based on various factors. AI-powered driver state analysis enables a more comfortable and safer ride.

An ML model predicts the change in deflection of bolts during the straightening process using measurement data and process parameters, enabling automation and quality assurance. Classification, in particular, is highly successful, predicting with high accuracy whether the bolts will be within tolerance after pressing.

An AI-based agent system optimizes therapy appointment scheduling in a rehabilitation clinic by considering complex constraints such as sequences, resources, and even distribution of applications. Particularly innovative is the ability to add new requirements via natural language as modular rules, which keeps the scheduling flexibly and efficiently adaptable.

Efficiency in the customer order process is increased by an AI prototype that supports the automatic checking of Bills of Materials in the EMS sector. Inconsistencies and errors are detected and marked using sample data, which significantly reduces manual effort.