We demonstrate how artificial intelligence creates real added value in manufacturing today - in concrete, measurable and scalable ways. In the “Applications” cluster we bring together practical use cases from the manufacturing sector and make them immediately applicable for companies - especially SMEs. Our solutions range from visual quality inspection and adaptive planning to energy optimization, supply chain transparency and generative AI in engineering and service. In addition, we demonstrate AI-supported maintenance and smart maintenance approaches, such as automated condition monitoring or predictive maintenance.
Every use case follows the same principle: data-driven thinking, secure integration and rapid impact. We combine domain expertise in manufacturing and logistics with state-of-the-art AI techniques (ML, computer vision, NLP/GenAI) and robust architectures spanning from the edge to the cloud. You can experience the solutions firsthand in demonstrators and learning factories; references, KPIs and best practices demonstrate their proven benefits. To ensure a smooth transition, we provide support with toolkits, templates, and migration paths - from pilot to MVP to rollout.
To ensure AI works reliably, we address data protection, IT/OT security, governance, and explainability. Maturity checks, data and process analyses, and workshops help prioritize suitable use cases and define roadmaps. Open interfaces and standards ensure interoperability with existing systems (MES, ERP, QMS).