Making Product Knowledge AI-Ready: Lessons from KAESER

Reliable AI applications depend on more than data — they require semantics that provide meaning and context across systems. But turning that principle into a working enterprise system is another challenge entirely.

In this webinar, KAESER Kompressoren and PANTOPIX walk through how they built the KAESER Knowledge Hub from the ground up: integrating product information from SAP and other enterprise silos into a unified knowledge graph that now serves as the semantic backbone for applications and processes across the organization.

A central theme is how a single shared knowledge model, developed using Graphwise Graph Modeling, became the driver not just of the graph itself, but of data integration, transformation, and automated publishing workflows. With Graphwise GraphDB as the operational backbone, the result is a data-driven approach to software development that connects semantic models, enterprise pipelines, and end-user applications.

The session closes with the KAESER Product Navigator as a concrete example of how all these layers work together to deliver a scalable, AI-ready application in production.