Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Production, quality assurance, and maintenance are key tasks for industrial and automotive companies. Our hybrid AI solutions support companies in these areas, helping them achieve greater efficiency, fewer downtimes, and consistent operational reliability. Hybrid AI technologies are characterized by the integration of expert knowledge. This makes the system's decisions easier to explain and understand.
We use advanced algorithms for everything. In the first stages of assembly, we start with efficient planning to optimize production. It is then combined with simulations and classic image processing techniques for an intelligent manufacturing strategy. This enables precise quality assurance, predictive maintenance, and intelligent process control. For example, our Bayesian optimization methods ensure efficient test planning and model-based calibration of simulations, from medical applications to agricultural technology. A standardized interface connection (OPC UA integration) ensures seamless integration into existing industrial infrastructures for the optimization of all relevant KPIs.
Our methods are:
- Transparent – explainable AI for traceable decisions.
- Efficient – less testing effort with consistently high quality.
- Robust – adaptable to different industries and use cases.
- Optimized – our intelligent algorithms simplify problems, so less money is spent learning known patterns in the data.