Engineering Automation Performance Center: Using AI in product development

The development of generative AI opens up opportunities to fundamentally change and rethink product development. By closely linking AI technologies with engineering processes, routines can be automated, data chains can be closed, innovation cycles can be shortened and new approaches to design can be developed. Companies that take advantage of these opportunities will secure their future viability and shape the next generation of engineering.

The Engineering Automation Performance Center is the central point of contact for the use of AI in product development – in Ostwestfalen-Lippe and beyond. Here, we bundle in-depth engineering expertise and AI competence to develop customized, advanced solutions together with partners from industry and science. The aim is to accelerate development processes, increase productivity and systematically drive innovation – with a clear business impact, such as shorter development times or reducing the workload of skilled workers through automated routines and intelligent assistance systems.

Copilots and AI agents for product development

Engineering Automation stands for the targeted use of AI and automation to make development processes more efficient, consistent and data-integrated. AI-supported copilots, which act like a ‘ChatGPT for product development’, play a key role here. They support engineers in automated requirements analysis, the generation of consistent system architectures, intelligent data migration and automated code generation.
Supplemented by AI agents and methods such as RAG or finetuning, which can be used to harness company knowledge in a targeted manner, optimize domain-specific models and make results more precise for development practice. The focus is always on close collaboration between humans and AI.

Offers from the performance center

The service center provides companies with concrete AI use cases along the entire development process: from brainstorming and system design to validation and management tasks in engineering. The aim is to create transparency, demonstrate realistic possibilities and accompany companies step by step through to a productive solution.

Various cooperation formats are available for this – from initial discussions and systematic use case analysis to proof-of-concepts (PoC) and extensive R&D projects. In addition, focus groups, training and access to modern AI infrastructure create the basis for rapid technology transfer and practical implementation.

Click here for selected offers for companies:

The partners of the performance center

With the it’s OWL technology network, Ostwestfalen-Lippe has established itself as a leading innovation ecosystem for intelligent technical systems. The Engineering Automation Performance Center is building on this and profiling itself as a beacon for the use of AI in engineering. Fraunhofer, it’s OWL, Campus OWL and leading industry partners are pooling their expertise to implement advanced solutions for AI-supported product development.

OWL is thus positioning itself as a top location for AI in engineering. The solutions developed here create value for regional companies, while also setting standards for the nationwide technology transfer of research results into practical, scalable applications and making engineering automation a driver of industrial competitiveness.

To the performance center