Imagine a high-tech gym where small companies can go to train their AI tools. Experts provide the equipment and coaching to help these businesses stop wasting energy and materials. It's like a bridge that helps a small shop use the same powerful data tools as a giant factory.
SMEs often lack the technical expertise and expensive infrastructure needed to build AI tools for resource optimization. This prevents them from meeting Green Deal environmental targets and staying competitive.
A support system consisting of 9 technology blocks for AI/data and a Community of Practice. It includes low-TRL and high-TRL testing environments for SMEs to validate solutions.
If you are a parts supplier dealing with inefficient material use — this project developed high-TRL playgrounds that allow you to test AI solutions to reduce waste. This helps you meet Green Deal targets while lowering costs.
If you are a grid provider dealing with unpredictable energy loads — this project provides technology blocks for data collection and decision support. You can use these to automate resource optimization and improve stability.
If you are a home appliance maker dealing with high energy consumption in production — this project offers a Community of Practice to develop AI solutions. You can integrate these tools to make your manufacturing process greener.
Based on available project data, at least 20 SMEs will receive Financial Support from the project (FSTP) through two open calls to develop their solutions.
Yes, the project includes 4 large industry partners from the automotive, whitegoods, battery, and energy sectors providing high-TRL playgrounds for large scale demonstration.
Based on available project data, the project focuses on applying standardization as an enabler for exploitation and collaborating with the AI-on-Demand platform.
The project runs from December 1, 2024, to November 30, 2027, with the goal of creating a Community of Practice that continues after the project ends.
The project provides 9 technology blocks covering the full cycle from data collection to automation, supported by a Community of Practice and AI-on-Demand platform integration.
The consortium is well-balanced for commercialization, featuring a 44% industry ratio with 7 industry partners and 5 SMEs. It leverages a broad European reach across 11 countries, combining the academic rigor of 2 universities and 4 research centers with the practical needs of 4 large-scale industrial leaders in energy and automotive sectors.
Contact Katholieke Universiteit Leuven regarding the open calls for FSTP.
Contact us to identify which of the 9 technology blocks fits your industrial challenge.
