In our Embedded Systems Engineering (ESY) department, we create transparency in increasingly complex embedded systems. To achieve this, we consistently rely on model-based approaches that make the interaction between hardware and software understandable and enable well-founded decisions in all development phases.
Models are our central tool, whether in model-based systems engineering (MBSE), product line engineering (MBPLE), the creation of digital twins, or the development of new hardware architectures.
With our modeling and analysis methods, we support companies in the early stages by:
- Securing valuable expert knowledge for the long term and utilizing it broadly within the organization.
- understand and evaluate complex or highly configurable systems,
- Targeted validation of design and configuration decisions through design space exploration.
- generate new insights and artifacts directly from models.
By using AI-supported assistance systems, we accelerate modeling and analysis, increase the reusability of expert knowledge, and help organizations build robust yet flexible system architectures.
Our expertise is applied in numerous domains, including automotive engineering, industrial automation, plant engineering, aerospace, and defense.