Artificial Intelligence & Machine Learning

Our reference projects

Project: Intelligent manufacturing

With AI support to the quality product

Machine learning in practical application in mechanical engineering: using machine learning methods in the assessment of manufacturing deviations to optimize usability and reduce costs.

Project: Data Driven Engineering

Up to 10 % energy cost savings at launch

Machine Learning in practical application in mechanical engineering. Using machine learning methods in the early detection of casting defects, noticeable results could already be achieved at the launch of the practical application.

Project: Quality assessment of fusion welded joints

Algorithms enable non-destructive testing of final products

Consider influencing variables for optimal utilization of the introduced weld metal at the time of manufacture. Optimize weld designs by correlation analysis of process signals with downstream metallographic examinations.