Proven strategies for digital transformation
The transfer of cutting-edge research into operational value creation through validated solutions for complex system architectures marks the decisive advantage in today's global competition. In an industrial landscape facing a radical paradigm shift, software no longer functions merely as a supporting tool, but as the central driver of innovation for products and production processes alike. fortiss makes this technological transformation tangible through real-world case studies. We present projects that impressively demonstrate how advanced software methodologies – from formal verification to adaptive control systems – bridge the gap between academic theory and industrial endurance testing.
Software innovations in industrial applications
Bavarian Agricultural Data Hub for stronger and more sustainable agricultural networks
AI-based, autonomous on-board fault detection, isolation, recovery and resource optimisation in satellites
Accelerated innovation processes through an AI-supported ideation process
Managing complex software ecosystems in industrial automation
Smart electricity trading in local and decentralised energy markets using blockchain and AI
Continuous security assurance for secure cyber-physical systems
Software engineering focused on the public good for public service media
Intelligent assistance systems for optimising digital production processes
Data-driven energy management helps SMEs reduce costs and CO₂ emissions
Digital transformation of municipal energy planning in Bavaria
“Government as a Platform” for the digitalisation of German public administration
Integrated development environment for the aerospace industry
Measuring the success of generative AI in the software development life cycle
Intelligent, modular data toolkit for autonomous driving safety
Safe and certifiable AI in aerospace
AI-powered shopping assistant designed to encourage sustainable purchasing decisions
Safe, data-efficient autonomous driving with knowledge-augmented AI
AI-enabled digital twins for innovation in the retail sector
Reference architecture for strengthening Germany’s digital sovereignty in the public sector
Safe cooperative autonomous driving with AI-based behaviour planning
Fewer false alarms in the tunnel safety system thanks to deep learning
Real-time and energy-efficient motion detection using neuromorphic AI
Intelligent trend platform accelerates innovation in software engineering
Reliable usage control for secure policy enforcement in cloud, edge and IoT environments
Control system for safe, flexible and efficient human-robot collaboration
Smart business matching to optimise supply-demand relationships in digital markets
Our partners’ experiences

With the results of the TeFoSa project with fortiss, we are raising the bar in functional safety. As a result of our collaboration with fortiss, we estimate a reduction in manual effort required to test the performance of our automotive middleware by 80%. At the same time, the scientifically founded testing approach increases the confidence in our results.
Marko Halak
Team Lead
Platform Testing


