Generative AI for Enterprises

Generative AI creates new content from existing data, such as designs, plans, or training data. Companies use it to shorten development cycles and automate repetitive tasks. It is based on models that learn from large amounts of data.

Typical applications are AI-powered design, the generation of training data, and the automation of tasks such as labeling and simulation. This shortens R&D cycles, reduces scrap, and frees up skilled workers. Which application pays off first is something we clarify in the consulting phase.

We start with consulting and the question of where generative AI delivers the most value. We then develop the solution and integrate it into your existing system landscape, from training data to deployment.

Yes, if data storage and operations are set up correctly. What matters is where your data is processed and which models are used. Our article on on-premise AI shows how companies run AI systems with full data sovereignty.

Traditional AI methods recognize patterns and make predictions, for example in quality control or maintenance planning. Generative AI goes further and creates new content, such as design proposals or synthetic training data.