SM4RTENANCE facilitates a neutral cross-sectorial data space for the manufacturing industry, where data can be provided by the different stakeholders, services provider, manufacturer, OEM customer, interacting along the complete asset lifecycle to operate maintenance services.

Industry has shown the potential of data-driven and AI powered algorithms for predictive maintenance (PdM) and dynamic asset management services in small scale trials. In parallel embryonic data spaces & strategic European infrastructures for digital sove reignty in manufacturing are now set; To bring such potential at scale, SM4RTENANCE exploits all those manufacturing assets to deploy a data space federation.

SM4RTENANCE will facilitate a neutral cross-sectorial data space for the manufacturing industry, where data can be provided by the different stakeholders, services provider, manufacturer, OEM customer, interacting along the complete asset lifecycle to operate maintenance services.

SM4RTENANCE mission is to connects key ecosystems, standards, experimentation facilities and data space development building blocks with the aim to secure growth and economies of scale for future multi-stakeholder predictive maintenance and supply chain data spaces across their full lifecycle, adopting common European data space principle, technical infrastructures, vocabularies, data models and business agreements.