Abstract: The DigVessel project aims to optimize the filament winding process for manufacturing fiber-reinforced polymer components, such as drive shafts and pressure vessels, to reduce costs and defects. Despite being an economical method, the filament winding process often results in discrepancies between design and final parts, necessitating over-dimensioning for safety. The project, involving DELTA MPIS and B&T Composites, addresses manufacturing deviations like overlaps, gaps, and fiber misplacements. By using real-time quality data from the DigVessel-MODELTA monitoring platform and a decision support system, the project aims to minimize process-induced defects and reduce oversizing. The developed DigVessel web platform, based on the TRL 5 MODELTA platform, has reached TRL 6. Key objectives include capturing real-time data on filament winding parameters using sensors, integrating this data into the MODELTA platform, developing an IoT-enabled DigVessel platform, enabling Digital Twin process and quality control, predicting defect impacts with multiphysics simulation, and establishing quality and process control baselines for industrial applications.