The AIR (Advanced IR Curing Composites Manufacturing) project is funded by the ESA BIC Greece Business Incubation Program for Space Technology and runs from May 2025 to April 2027.
ESA BIC Greece helps startups turn space-enabled technologies into real-world solutions by providing funding, mentorship, and access to industry networks.
Within the ESA BIC Greece incubation program, YLISENSE is developing and validating its real-time Edge AI system for optimizing the production of high-performance composite materials, ensuring space-grade quality while improving efficiency and sustainability.
AIR is redefining composite manufacturing with intelligent, autonomous, and highly efficient production technologies. By integrating advanced hardware, digital modeling, and Edge AI, the project enables real-time optimization and aerospace-grade precision at industrial scale.
This approach improves energy efficiency, reduces production variability, and accelerates throughput, bringing space-level technology to high-performance composite manufacturing.
Precisely controls heating across multiple zones to achieve uniform curing and optimal material performance.
A virtual replica of the manufacturing process that predicts outcomes, enabling proactive adjustments and higher consistency.
Intelligent algorithms running on-site monitor sensor data in real time and automatically optimize curing parameters.
Seamless communication between machines, sensors, and AI agents reduces latency, saves energy, and enables decentralized decision-making.
The AIR project has demonstrated significant benefits in lab trials, showing that the integration of real-time Edge AI and advanced IR curing technology can transform composite manufacturing.
Key Results: AIR achieved 30–50% reduction in production cycle time and up to 80% lower energy consumption. Scrap rates were reduced by 60%, while the system achieved 100% user acceptance thanks to its intuitive and easy-to-use interface.
Significantly reduces cycle times, accelerating composite manufacturing without compromising quality.
Up to 80% lower energy usage compared to conventional processes, reducing operational costs and environmental impact.
60% fewer defects, 100% user acceptance, and an intuitive interface ensure reliable and easy operation.