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EU funding (€45M): European TrUstworthy GeneRative AI & AutonOmisation Frontier Models for Manufacturing-X Competitiveness Hor 19 May 2026 EU Research and Innovation programme "Horizon"
Overview
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European TrUstworthy GeneRative AI & AutonOmisation Frontier Models for Manufacturing-X Competitiveness
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 & Autonomisation 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. Overall, euroFMX, advances a EURO 4 EURO strategy: a manufacturing GenAI built in Europe, by Europeans, with European open-source software technology and knowledge, for European industry, and adhering to European values & open standards.
Funded Companies:
Source: https://cordis.europa.eu/project/id/101299128
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