Mission

Translate STEP/IGES files into tolerance-aware, machine-interpretable geometry that powers the entire D2R alignment and QC pipeline. Your differentiation is native 3D CAD matching – if this layer is weak, the platform becomes another generic vision tool.

System Ownership
- Primary: CAD parsing engine (STEP, IGES, IFC, DWG → internal geometry representation)
- Primary: Feature extraction pipeline (holes, edges, weld seams, surfaces, datums)
- Primary: GD&T; tolerance mapping (geometric dimensioning and tolerancing interpretation)
- Primary: Automated geometry comparison / CAD diff engine
- Secondary interface: CV team (they consume your mesh/point-cloud representations for alignment)
- Secondary interface: MR team (they render your extracted geometry as overlays)
- Does NOT own: Point cloud registration (CV team), MR rendering (MR team), deviation analytics (AI team)

What You Will Build
- CAD parsing engine – Ingest industrial CAD files (STEP, IGES, IFC, DWG) from major authoring tools (SolidWorks, AutoCAD, Revit, Inventor, Creo). Extract B-Rep geometry,



assembly structure, and metadata. Handle files from 1MB to 2GB.
- Feature extraction system – Automatically identify and classify geometric features: holes (through, blind, counterbore), edges (fillet, chamfer, sharp), weld seams, surfaces (planar, cylindrical, freeform), and datum references.
- GD&T; tolerance mapping – Parse GD&T; annotations from CAD files (PMI data). Map tolerances to extracted features. Build a machine-readable tolerance model that the deviation detection system can evaluate against.
- Automated CAD diff engine – Compare two revisions of the same CAD model. Identify what changed: added features, removed features, dimensional changes, tolerance changes. Output a structured diff report.
- Geometry export pipeline – Convert internal representation to formats consumable by downstream systems: tessellated mesh for MR rendering, oriented point cloud for CV alignment, feature list for QC logic.

📌 CAD Geometry (Hyderabad)
🏢 Quantumcona
📍 Hyderabad