SKIPRO - Shaping the Future of Production Technology Together
We at Peak Solution are proud to be implementing the SKIPRO research project together with our consortium partners.
What is SKIPRO?
SKIPRO aims to systematically leverage the potential of generative AI for industrial applications. The focus is on the intelligent integration of heterogeneous, distributed production data into generative multi-agent systems to provide context-sensitive support for decision-making and process optimization.
[In der Blog-Übersicht wird hier ein Weiterlesen-Link angezeigt]

SKIPRO = Softwaremethoden und Technologien für die Datenintegration in Generative KI-Systeme im Kontext der Produktionstechnik
(Software Methods and Technologies for Data Integration in Generative AI Systems in the Context of Manufacturing Engineering)
Our Contribution at Peak Solution
We focus on combining the unique semantic strengths of ASAM ODS with data formats established in industrial manufacturing, such as IDTA AAS and OPC UA. This allows us to merge data from product development with production data and make it usable for digital twins. As a result, use cases such as proactive maintenance and product innovation can be mapped in a more holistic and comprehensive way.
👉 Read this short blog post to get a first impression of our project:
A Strong Consortium
We are very much looking forward to collaborating on this project and exchanging ideas within the consortium with our project partners:
- eurogard GmbH
- WZL‑IQS
- INC Innovation Center GmbH
- Physikalisch‑Technische Bundesanstalt
- NuCOS GmbH
- BAM
- Siemens AG
- Peak Solution GmbH
Funded by the Federal Ministry of Research, Technology, and Space.
Please contact us if you would like to collaborate with us on this topic or visit the official SKIPRO website.

Related topics
What is ASAM ODS?
The ASAM ODS standard defines APIs and formats for storing and retrieving test and measurement data
What is a data model?
A data model defines the metadata of your measurement data and adds semantics to it and thus serves as the basis for machine learning.