Agentic AI is widely seen as the next evolution of industrial digitalization. In the future, systems are expected to autonomously select data, parameterize models, and orchestrate analysis processes.

In practice, however, a key challenge quickly becomes apparent: without semantically structured data, AI systems lack the context needed to reliably interpret engineering information.

These are exactly the questions discussed at the prostep ivip Symposium 2026, taking place on April 14/15 in Frankfurt. Karakun will be present with both an exhibition booth and a technical presentation.

Semantics as the foundation of intelligent engineering systems

In the development of complex mechatronic systems, vast amounts of data are generated from simulations, modeling activities, and testing. To make this data usable in automated processes, simple storage is not enough. What is needed is a semantic description of system functions and their relationships.

This is where the FDX data standard from prostep ivip comes into play. It provides an open, tool-independent way to describe the functional behavior of components and systems in a semantically precise manner. As such, it forms a key foundation for automated engineering processes and future agentic AI workflows.

Why agentic AI remains blind without semantics

At the prostep ivip Symposium, Mike Mannion (Karakun) and an industry partner from the automotive sector will demonstrate how semantic data models enable the next level of engineering automation.

No Semantics, No Intelligence: Why Agentic AI Remains Blind Without FDX

📅 April 14, 2026
🕒 14:55 Uhr
📍 Auditorium 3

The presentation provides an overview of the current state of automation in engineering and shows how machine learning and agentic AI can further enhance data quality, data selection, and analysis processes.

EXOKNOX: Data management for engineering functional data

At the Karakun booth (Booth 06), we will also present our data management solution EXOKNOX.

Functional data defines the purpose and behavior of each component within a vehicle or other mechatronic products. It serves as a foundation across many stages of product development – from design to validation and verification.

The quality of this data is therefore a key factor in determining the quality of the final product. At the same time, its accessibility and ease of use are critical levers for improving the efficiency of the entire development process.

EXOKNOX was built by engineers for engineers – from practical experience for future challenges.

The solution makes functional data easily accessible, traceable, and centrally available – independent of specific technologies or vendors. This enables a consistent, data-driven development process that also integrates development partners efficiently.

At the same time, EXOKNOX provides an essential foundation for AI-driven product development.

Meet us in Frankfurt

Would you like to learn more about FDX, semantic data models, or AI-driven engineering processes? Visit us at the prostep ivip Symposium 2026 in Frankfurt. Or schedule a meeting with us in advance.

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