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In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and vehicle data (in Germany).

The aim of the project is to drive digitization forward, particularly in small and medium-sized enterprises (SMEs) in the automotive sector. Workshops, measurement system providers and AI startups are being linked to form an innovation and value network. AI-supported methods are to help improve repair and maintenance here.

In particular, DFKI is investigating AI modeling and the development of explainable AI methods for fault diagnosis and decision support using complex heterogeneous data (structured as well as sensor-based), which are recorded, for example, using automotive oscilloscopes. Using this data enables the development of intelligent AI methods for fault diagnosis and root-cause analysis in the GAIA-X context.


  • Auto Intern GmbH
  • DEKRA Digital GmbH
  • Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH
  • eco – Verband der Internetwirtschaft e.V.
  • Hochschule Osnabrück
  • Technische Hochschule Georg Agricola
  • Vergölst GmbH


BMWK - Federal Ministry for Economic Affairs and Climate Action


BMWK - Federal Ministry for Economic Affairs and Climate Action

Publications about the project

Tim Bohne; Anne-Kathrin Patricia Windler; Martin Atzmueller

In: Brent Venable; Daniel Garijo; Brian Jalaian (Hrsg.). Proceedings of the 12th Knowledge Capture Conference 2023. International Conference on Knowledge Capture (K-Cap-2023), December 5-7, Pensacola, FL, USA, Pages 35-43, K-CAP '23, Vol. 12, ISBN 979-8-4007-0141-2, Association for Computing Machinery, New York, NY, USA, 12/2023.

To the publication