euroFMX: European Trustworthy Generative AI & Autonomisation Frontier Models for Manufacturing-X Competitiveness

EU project

Europe’s manufacturing industry is at a critical stage: global competition, skills shortages, supply chain fragility, and increasing regulatory pressure demand a new paradigm of trustworthy, sovereign and human-centric AI for industry. euroFMX responds to this challenge by establishing the first European ecosystem of Generative AI & Autonomization Frontier Models fit for manufacturing, reinforcing Europe’s competitiveness and strategic autonomy in the digital age. 

The project is structured along four strategic pillars.

  • Pillar I provides an Industrial AI that acts autonomously, systemically, and at scale setting the path towards a manufacturing-friendly Artificial General Intelligence.
  • Pillar II strengthens the future workforce, bridging AI talent and industrial know-how via large-scale skilling, co-creation and open knowledge communities.
  • Pillar III reclaims European digital and AI sovereignty by delivering industrial-grade, privacy-preserving data spaces and HPC-based AI factories, democratizing access to resources previously dominated by big non-EU companies.
  • Pillar IV optimises frontier GenAI models for manufacturing, introducing physics-informed graph neural networks, multimodal reasoning, and agentic orchestration platforms for trustworthy, interpretable and regulation-ready deployment. euroFMX will validate its breakthroughs across multiple high-impact pilots, covering machining, robotics, automotive, circular manufacturing, and human-AI collaboration.

Key data on the project

Duration
2026-2030

Funding program
HORIZON-CL4-2025-03-DIGITAL-EMERGING-07

Coordination
Politecnico di Milano

Project partners
Fondazione Politecnico di Milano, Innovalia, Fraunhofer ISST, IAIS und IWU, TU Eindhoven, 28Digital, CERTH, University of Oxford, Imperial College, SUPSI, La Sapienza University Rome, University of Oslo, Chalmers University, Hochschule für Wirtschaft und Recht Berlin, CEA, KU Leuven, Baidata, Siemens, Schneider Electric, Celonis, Bosch Global Software Technologies, Netcompany, Suite5 Data Intelligence Solutions, Software Quality Systems, Dawex Systems, Unparallel Innovation, TTS Technology Transfer Systems, Core Innovation, Industry Commons Foundation, Syxis, KIT, Cineca, Engineering Ingegneria Informatica, Open Nebula Systems, VDMA, Mondragon University, Aimen, Sitav, DGS, Fill, Generative Robotics, Comau, Trimek, Datapixel, Unimetrik, Industrial Digital Twin Association e.V., Switzerland Innovation Park Biel/ Bienne, Aumovio, Institut für Angewandte Systemtechnik Bremen, GHI Hornos Industriales, Befesa Aluminio Slu, Philips Consumer Lifestyle, Atlantic Engineering, Leonardo, prostep ivip e.V., Cefriel, ARENA2036 e.V., AVL List, Prima Industrie, Text E-Tech, Consultores de Automatizacion y Robotica, Association of IVSZ – Digital Enterprises Hungary, EIT Manufacturing South, IDC Nordic, VDE Verband der Elektrotechnik Elekronik Informationstechnik e.V., TH Augsburg, Data AI and Robotics DAIRO, International Data Spaces e.V., Czech Technical University in Prague