# euroFMX: Foundational Models for Trustworthy Industrial Generative AI in Europe

EU project building trustworthy foundation models for industrial generative AI; the TU/e contribution covers graph-based data modelling, neuro-symbolic AI and active inference for AI agents in manufacturing.

- Type: Funded project
- URL: https://www.gyunam.com/funding/eurofmx/
- Period: 2026 – 2029
- Kind: research
- Funder: European Commission
- Grant number: 101299128
- Role: Co-PI; co-author of the proposal and co-lead of the TU/e contribution
- Total budget: EUR 45 M
- Partners: 72 partners from 20 countries, 10 industrial pilots
- Project website: https://eurofmx.eu
- Research lines: [Object-centric process mining](https://www.gyunam.com/research-line/object-centric-process-mining/index.md), [Neuro-symbolic process learning](https://www.gyunam.com/research-line/neuro-symbolic-process-learning/index.md)

## Abstract

euroFMX develops foundation models for trustworthy industrial generative AI in Europe, with 72 partners from 20 countries and 10 industrial pilots. The Eindhoven University of Technology contribution, which I co-lead, covers graph-based data modelling, neuro-symbolic AI and active inference for AI agents in manufacturing.

## Objectives

- Graph-based data modelling of manufacturing processes, building on object-centric event data.
- Neuro-symbolic AI that combines foundation models with symbolic process models.
- Active inference for AI agents that act in manufacturing processes.