About Symge & GEOSeen
CAD intelligence for manufacturing archives and engineering workflows
Our Mission
Symge was founded with a simple observation: engineers spend too much time searching for parts that already exist, and too much time re-creating 3D models from 2D drawings. In a world where CAD repositories contain hundreds of thousands of components and legacy drawing archives hold decades of engineering knowledge, finding and reusing that data shouldn't require hours of guesswork.
We built GEOSeen, a CAD intelligence platform that understands engineering data by its geometry, not just filenames. Engineers can search 3D models, search 2D drawings, and move across formats from one starting point. Computer vision and machine learning help teams find and reuse parts in seconds, even when archive metadata is incomplete or inconsistent.
Beyond search
From finding CAD data to acting on it
Finding the right part is often only the first step. Engineering and manufacturing teams still need to reconstruct models, prepare incoming work, and understand what similar parts cost to produce. GEOSeen connects those decisions to the geometry and history already stored in the archive.
01 / SEARCH & REUSE
Recover existing knowledge
Find similar parts across 2D drawings, 3D CAD models, scans, and mixed-format archives. Reuse proven designs instead of creating another duplicate.
02 / DRAWING TO MODEL
Move from 2D to 3D
Convert technical drawings into usable 3D representations by reading views, dimensions, annotations, and geometric relationships from the source drawing.
03 / RFQ & COST CONTEXT
Estimate from what you know
Match incoming RFQ parts with similar historical work carrying known prices, quotes, or routings to support faster, evidence-based cost estimation.
Our goal is to make the manufacturing archive operational: searchable by geometry, useful across formats, and connected to the decisions engineers and estimators make every day.
Review our deployment approach or discuss your CAD archive with Symge.