CAD Document Searchability for a Transportation Service Provider, EU
Enabling instant semantic search across 180,000+ engineering CAD documents
A leading multimodal transportation provider in the EU managed over 180,000 CAD engineering documents scattered across siloed file servers. Engineers spent up to 4 hours per day searching for specific drawings, parts lists, and revision histories, severely impacting project timelines.
iCaptur.AI deployed DocFennec with specialized CAD parsing capabilities, creating a unified semantic search layer across all document repositories. Engineers can now query in natural language and instantly locate relevant drawings, assemblies, and specifications.
Repository Audit
Cataloged 180,000+ documents across 12 file servers, identifying formats, metadata gaps, and duplicate files
CAD Parser
Built custom parsers for DWG, DXF, STEP, and IGES formats with layer-level metadata extraction
Semantic Index
Created vector embeddings for all documents enabling natural language search across technical content
Search UI
Developed an intuitive search interface with visual previews, faceted filters, and revision timeline views
API Layer
Exposed search capabilities via REST API for integration with existing PLM and ERP systems
Our engineers used to lose half their day searching for drawings. Now they find exactly what they need in seconds. The ROI was visible within the first month.
Measurable Impact
Document search time reduced from 2-4 hours to under 2 seconds
180,000+ CAD documents unified into a single searchable knowledge base
Each engineer saves an average of 3.8 hours per day
Project delivery timelines improved by 22% across the organization
Duplicate document creation reduced by 89%
