How Physna and AWS Use Geometric Intelligence to Bridge Engineering Design and Procurement

This article explains how Physna and AWS use geometric intelligence to bridge engineering design and procurement by analyzing 3D CAD geometry to identify duplicate and interchangeable parts across manufacturing organizations.

• Physna analyzes 3D component geometry to identify part similarity and interoperability, matching identical parts regardless of naming conventions or ERP systems
• VAMS (Visual Asset Management System) serves as the spatial data plane on AWS, centralizing CAD files, metadata, and synchronized Physna analysis
• Four-stage architecture ingests data from PLM/ERP systems, normalizes geometry through AWS Fargate, performs AI-driven shape analysis, and integrates results into design and sourcing workflows
• Native CAD viewing in browser eliminates need for desktop tools, enabling procurement and supplier teams to visually confirm part equivalence
• Customer results include reduced component duplication, faster sourcing decisions, 5x engineering productivity gains, and stronger supply chain resilience

By combining geometric intelligence with cloud infrastructure, manufacturers can eliminate redundant parts, accelerate sourcing, and build more resilient supply chains at scale.