I-NERGY Project Supportive Partners Programme
APPLY TO JOIN US!
Are you an EU-based expert organisation working on Energy and AI?
Do you want to make your work visible and thus get more opportunities and connections across these sectors?
We are looking for YOU! Become an I-NERGY Project Supportive Partner, and get the most of a joint collaboration with us!
We are looking for Partners interested in:
Joining the European AI and Energy Community and I-NERGY ecosystem
Engagement with Europe’s leading AI researchers, developers, HPCs
Work together to progress AI in the European way
We offer in exchange:
The possibility to fund projects from your ecosystem
Visibility on our website
Cross-dissemination among our networks
Interested in being an I-NERGY supportive partner?
Call for interest now open!
In return, we will be happy to disseminate your projects and/or activities related to Energy and AI.
I-NERGY supportive partners will get:
Joining the European AI and Energy community.
Visibility on the I-NERGY website with logo, description and link.
Visibility on the online community and the chance to showcase success stories and share content or own activity.
A possibility to reach collaboration agreements for joint events presence and to co-organise info sessions.
Possible engagement with Europe’s leading AI researchers, developers, HPCs.
Work together to progress AI in the European way.
Access open call opportunities, such as funding, mentor or evaluator activities.
I-NERGY is an EU funded innovation project around Artificial Intelligence for Next Generation Energy. This project will deliver:
- Financing support through Open Calls to third parties SMEs for new energy use cases and technology building blocks validation, as well as for developing new AI-based energy services, while fully aligning to AI4EU service requirements and strengthening the SME competitiveness on AI for energy.
- An open modular framework for supporting AI-on-Demand in the energy sector by capitalising on state-of-the-art AI, IoT, semantics, federated learning, analytics tools, which leverage on edgelevel AI-based cross-sector multi-stakeholder sovereignty and regulatory preserving interoperable data handling.