AI Sovereignty

Data is commonly addressed as a company asset, and it is proven that knowledge sharing, done using proper data-sovereignty-compliant methodologies, can improve business and reduce waste along the supply/value chain.

In a collaboration to apply new technologies to manufacturing, this project aims to create a reusable, sustainable industrial data space ecosystem. The system will be based on industrial platforms that are supporting European industries to exchange AI results – such as spare parts production and forecast and predictive maintenance data, or data-driven new business opportunities – with all industrial and supply/value chain stakeholders. It will leverage a secure and trustworthy sharing of manufacturing data. In other words, the aim is to design, develop, set up, and deploy a platform able to support and foster data exchange between trusted parties, based on self-defined data usage policies through consideration of data sovereignty principles.

Activity leader

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Whirlpool EMEA


  • Cefriel
  • INESC TEC – Institute for Systems and Computer Engineering
  • Technology and Science
  • Politecnico di Milano
  • Sonae Arauco
  • Sonae MC
  • Whirlpool EMEA