The euroFMX project aims to address the strategic challenges facing the European manufacturing industry, including global competition, skills shortages, vulnerabilities in the supply chain, and regulatory pressures, by developing a European ecosystem of generative AI and autonomous manufacturing models. The project's aim is to bolster Europe's competitiveness and digital autonomy by championing dependable, self-sufficient, and human-centric industrial AI systems.

The project is structured around four main pillars: (i) developing autonomous and systemic industrial AI towards advanced forms of artificial intelligence applied to manufacturing; (ii) enhancing skills and human capital through training and co-creation ecosystems; (iii) strengthening European digital sovereignty through industrial data spaces and HPC infrastructure; and (iv) developing advanced GenAI models for manufacturing by integrating multimodal approaches, physics, and interpretable, controllable, agent-based systems. These solutions will be validated in various high-impact industrial sectors, including mechanical engineering, robotics, the automotive industry, the circular economy, and human–AI collaboration. The project also aims to build an open and interoperable European ecosystem that aligns with EU values and standards.

The project involves a broad consortium of over 70 partners from universities, research centres and industry. Key participants include Fraunhofer Gesellschaft, Katholieke Universiteit Leuven, CINECA, VDMA and EIT Manufacturing South, as well as numerous other European industrial and technology partners.

EuroFMX is coordinated by the Department of Mechanical Engineering at Politecnico di Milano, by Professor Andrea Matta, in collaboration with the Departments of Electronics, Information and Bioengineering, and the Department of Management, Economics and Industrial Engineering.

The research group from the Department of Management, Economics and Industrial Engineering is involved in project management activities and the development of key work packages, with a particular focus on industrial autonomy frameworks, GenAI models and agent-based systems, digital platforms for manufacturing, impact assessment, ecosystem activities, dissemination and ethics.

The project is a strategic initiative to build a European Generative Manufacturing Economy based on advanced AI, interoperability, sustainability and technological sovereignty.