Press, May 14, 2026
GREEN.DAT.AI Successfully Concludes, Delivering Energy-Efficient AI and Data Space Innovations for Europe
INLECOM proudly announces the successful completion of GREEN.DAT.AI (GA No. 101070416), a Horizon Europe project coordinated by INLECOM and focused on developing an energy-efficient, AI-ready Data Space framework for industrial data sharing and analytics.
GREEN.DAT.AI was launched to address one of the growing challenges of the digital era: the increasing energy consumption and environmental impact generated by industrial data processing, cloud infrastructures, and AI model training. The project responded by developing technologies and services that enable organisations to share, process, and analyse data in a more secure, interoperable, and sustainable manner.
Over the course of the project, the consortium successfully delivered a comprehensive Data Space-compliant Reference Architecture aligned with GAIA-X and IDS principles, together with an operational platform integrating data sharing mechanisms, workflow orchestration, metadata catalogues, visualisation tools, identity management, security components, and energy benchmarking capabilities.
One of the project’s central outcomes was the GREEN.DAT.AI toolbox, which expanded into 21 validated AI and data analytics services grouped across 9 service categories. These services included federated learning, transfer learning, explainable AI, edge and fog analytics, synthetic data generation, adaptive analytics for digital twins, and automated IoT event detection.
The technologies and services developed within GREEN.DAT.AI were validated through six real-life demonstrators spanning multiple industrial sectors:
- Renewable energy data sharing
- Smart EV charging management
- Smart farming through Digital Twins
- Smart water management
- Micromobility energy demand response
- Explainable fraud detection in banking
The project achieved significant technological and innovation milestones throughout its implementation. GREEN.DAT.AI received recognition from the EU Innovation Radar with 13 selected innovations, while several technical offerings and demonstrators reached Technology Readiness Levels between TRL 6 and TRL 8. In addition, the consortium exceeded its initial intellectual property targets by filing four patent applications.
GREEN.DAT.AI also demonstrated measurable environmental and operational impact. Energy-efficiency assessments reported improvements ranging from 17% to 99% depending on the service and use case, alongside verified CO2 emission reductions across all pilots. The project further validated interoperability with external European Data Spaces including DISCO, PLATOON, and NOUS, strengthening the project’s contribution to Europe’s broader Data Space ecosystem.
Beyond its technical achievements, GREEN.DAT.AI contributes to Europe’s strategic priorities on trusted data sharing, energy-efficient AI, digital sovereignty, and the development of common European Data Spaces. By combining sustainable AI methods, interoperable Data Spaces, and measurable energy-efficiency optimisation, the project demonstrated how advanced data-driven technologies can support greener and more resilient industrial innovation across Europe.
As project coordinator, INLECOM led the overall implementation of GREEN.DAT.AI, ensuring the successful coordination of technical development, pilot validation, dissemination, exploitation, and long-term impact activities across the consortium. Beyond coordination, INLECOM Innovation also drove the Data Foundation and Reference Architecture task, as well as the project’s commercialisation and exploitation activities, supporting the long-term sustainability and uptake of the project results.
INLECOM would also like to sincerely thank Riku Leppänen, Project Officer from the European Commission’s Directorate-General for Communications Networks, Content and Technology (DG CONNECT), Unit G1 – Data Policy and Innovation, for his continuous support and guidance throughout the implementation of the GREEN.DAT.AI project.
The legacy of GREEN.DAT.AI extends beyond the project’s completion. Its reusable assets, open-source tools, validated AI services, business models, and operational experience provide a strong foundation for future industrial deployment, research activities, and the advancement of trusted and sustainable European Data Spaces in Europe.
