May 04, 2026
Engineering and manufacturing organizations continue to face challenges when managing large repositories of 3D models, including manual shape comparison, inconsistent similarity assessments, and the time‑consuming navigation of extensive part libraries. Traditional CAD search and manual similarity methods rely heavily on metadata, naming conventions, or subjective human judgment—approaches that do not scale and often produce inconsistent results.
AMC Bridge’s latest technology demonstration, Similar Parts Search, explores how combining artificial intelligence (AI) with advanced 3D geometric processing can address these challenges and significantly improve the discovery, reuse, and evaluation of structurally similar parts across engineering workflows. By leveraging learned geometric representations of 3D models, the POC enables consistent, geometry‑aware similarity detection across large repositories, independent of how parts are named or categorized.