Turning engineering drawings into structured data is not purely a vision problem. How information is organized in the drawing — layers, annotations, symbols, title blocks — is what matters: the vision model reads, engineering rules interpret.
We have built drawing-understanding capabilities tailored to the harness industry: extracting lines, terminals, and connection relations layer by layer, then validating consistency with industry rules so the system "reads and actually understands".
Harness BOMs are scattered across drawings, tables, and engineer experience. We decompose this into an automatable flow: recognize parts → extract spec parameters → match the material library → generate a structured BOM.
The value is not just saving labor — it frees the enterprise from dependence on a few senior engineers, crystallizing process knowledge into a reusable asset.
A drawing can look great, but whether connections are correct, line numbers consistent, and changes from the previous revision clear — those are what the factory truly cares about. We provide connection-consistency validation and auto-mark change points.
It works with our connector database: device selection, pin definitions, and material data share one source, reducing errors at design time.
Factories are full of cross-system operations: pulling data from ERP, moving information between tools, submitting per fixed workflows. Hand these to the RPA skill library for automation; combined with document understanding, they form a full "read → compute → run" loop.
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