Project cooperationUpdated on 6 November 2025
(DE-51) AI-based Optimization, Explainability, and Data Integration for Advanced Manufacturing and Sustainable Industrial Processes.
International Programs Director for Industrial and Digital Systems at Fundación CARTIF
Valladolid, Spain
About
CARTIF contributes to the DE-51 topic by developing AI-driven and explainable optimization tools for advanced manufacturing. Its expertise includes physics-informed AI, self-X adaptation for process control, and FIWARE-based Data Hubs for interoperability. CARTIF integrates explainable AI, predictive maintenance, and circular economy strategies to enhance industrial efficiency, sustainability, and trust in AI systems across automotive, process, and food industries.
Topic
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
Type
- Partner seeks consortium
Attached files
Organisation
Similar opportunities
Project cooperation
(DE-02) Multi-Agent AI Frameworks for Autonomous, Adaptive, and Collaborative Decision-Making
- Partner seeks consortium
- Consortium seeks partner(s)
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
Anibal Reñones Dominguez
International Programs Director for Industrial and Digital Systems at Fundación CARTIF
Valladolid, Spain
Project cooperation
- Partner seeks consortium
- Consortium seeks partner(s)
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
Anibal Reñones Dominguez
International Programs Director for Industrial and Digital Systems at Fundación CARTIF
Valladolid, Spain
Project cooperation
- Partner seeks consortium
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Anibal Reñones Dominguez
International Programs Director for Industrial and Digital Systems at Fundación CARTIF
Valladolid, Spain