Imagine a giant brain that coordinates how different factories and energy providers share and use power to stop waste. It connects big industrial players with small tech startups to find the smartest way to save energy. Think of it as a smart traffic controller for electricity and resources across entire industrial zones.
Large industries struggle to optimize energy resources at scale due to a lack of integrated data tools. Small AI startups often lack the big datasets and pilot sites needed to prove their solutions work in real industrial settings.
A set of data/AI-based platforms and Integrated AI Systems (IAIS) that act as core infrastructure for energy resource optimization.
If you are a large-scale industrial plant dealing with massive energy waste and inefficient resource use — this project developed Integrated AI Systems (IAIS) that optimize energy consumption. This allows you to lower costs by leveraging data from 14 large-scale pilots.
If you are an AI software startup dealing with a lack of real-world testing grounds for your energy tools — this project developed a core infrastructure that accommodates external IT assets. You can integrate your specific AI services into a validated industrial ecosystem.
If you are a regional energy grid operator dealing with the pressure to meet Green Deal targets — this project developed replicable sustainable industry modules. These tools help coordinate resource optimization across 5 different countries.
Based on available project data, no specific pricing or cost structures are mentioned as the project is currently in the implementation phase.
Yes, the project is designed for large-scale resource optimization and will be tested in 14 large-scale pilots across 5 countries to ensure it can scale up to cover more applications.
Based on available project data, specific licensing terms are not provided, but the project focuses on creating a package of lessons learned and recommendations for future adoption.
The project provides transversal core infrastructures and platforms designed specifically to accommodate external IT assets and AI-based services from third parties.
The project runs from 2024-12-01 to 2027-11-30, meaning the systems will be developed and piloted during this window.
The consortium is heavily weighted toward practical application, with 38% industry representation (9 partners) and 6 SMEs. With 24 partners across 10 countries, the group balances academic research (3 universities, 3 research centers) with a strong operational arm including 9 other organizations such as NGOs and public authorities, ensuring the AI tools are grounded in real-world industrial needs.
Contact Universidad de Sevilla regarding the Integrated AI Systems (IAIS) for energy optimization.
Contact us to find out how to integrate your AI assets into the COSMIC industrial ecosystem.
