The WAIMinspect project develops an integrated monitoring system for water-assisted molding (WAIM), combining ultrasonic sensors and in-mold acoustic emission, robotic pre-inspection with terahertz technology and X-ray tomographic analysis. Powered by machine learning and deep learning algorithms, the system allows process monitoring, optimization and quality control, boosting efficiency and sustainability