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31.12.2025

KEMRIT – AI-based knowledge extraction and data structuring for SMEs

The KEMRIT project develops methods for automated knowledge extraction and data structuring based on Large Language Models. These methods support SMEs in using documentation efficiently and optimizing internal processes in a data-driven way.
blurhash Graphical representation of the project in stages.

The research project aims to provide SMEs with a solid data foundation and a comprehensive knowledge model through initial demonstrators that can be seamlessly integrated into LLM applications. Using Large Language Models enables SMEs to utilize relevant documentation, such as customer support or maintenance records, much more efficiently, thereby optimizing internal processes. The demonstrators developed in the project illustrate how automated data structuring – for example, in the area of ​​maintenance – can be implemented. The documentation includes a detailed potential analysis and focuses on identifying suitable data sources within SMEs. Furthermore, innovative business models for automated data structuring are presented. Issues of accountability, explainability, and sustainability are also comprehensively addressed to ensure a holistic approach.

 

More about the project: https://www.ecoplus.at/vernetzen/mechatronik-cluster-niederoesterreich

 

Project by: https://www.ecoplus.at/vernetzen/kermit

 

Science & Research

Artificial Intelligence & Data

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