Imagine a smart assistant that helps a factory build a machine, run it perfectly, and then decide whether to fix it or recycle it when it gets old. It uses AI to act like a master architect and a mechanic combined, ensuring every part is designed for the longest life possible. This means less waste and machines that are easier to update as technology changes.
European machinery companies face intense global competition and a need for better sustainability. They struggle with inefficient design processes and a lack of smart tools to manage the repair and recycling of equipment.
Four AI Suites covering Design (CAD/CAM integration), Manufacturing (procurement and quality control), Use (predictive maintenance), and Repair-Reuse-Recycle (smart retrofitting).
If you are a machinery manufacturer dealing with inefficient design cycles — this project developed AI-integrated CAD/CAM tools that optimize structural components to increase global competitiveness.
If you are a food production plant dealing with unexpected machine downtime — this project developed AI for predictive maintenance that ensures equipment works under optimal conditions.
If you are a repair shop dealing with outdated machinery — this project developed smart retrofitting AI that facilitates a second life for machines through reuse.
Based on available project data, the specific commercial pricing for the suites is not listed, though the project received an EU contribution of EUR 5,999,694 for development.
Yes, the solutions are being demonstrated in 4 Pilots across the metal, stone, plastic, and food sectors to ensure they work in real-world industrial environments.
Based on available project data, the specific licensing terms are not provided, but the project involves 17 partners including 7 industry players.
The Design suite is specifically built to integrate with existing CAD/CAM/CAE systems used by engineers.
The project period runs from 2022-10-01 to 2025-09-30.
The consortium is heavily weighted toward industrial application, with 41% of the 17 partners being industry players (7 companies). The presence of 8 SMEs suggests the technology is designed for accessibility and scalability across different business sizes, supported by a balanced mix of 3 universities and 4 research centers across 8 European countries.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece
Contact us to connect with the AIDEAS consortium for pilot implementation.
