Premier Data Aggregator, USA
Revolutionizing CAD document management with intelligent classification and instant retrieval
The Challenge
A top-tier data aggregator maintained a massive archive of engineering CAD documents from thousands of clients. Without intelligent classification, finding specific documents required manual browsing through deeply nested folder structures, averaging 45 minutes per search.
The Solution
iCaptur.AI implemented DocFennec and iRepo together to automatically classify incoming documents by type, discipline, and project, then store them with rich metadata in an instantly searchable repository.
Our Approach
Archive Migration
Migrated 2.4 million documents from legacy file servers into a unified cloud-native repository
Classification AI
Trained multi-label classification models covering 120+ document categories with 97.3% accuracy
Metadata Enrichment
Automatically extracted and tagged documents with project codes, revision numbers, authors, and dates
Search Layer
Deployed semantic search with visual previews and smart auto-complete across the entire archive
Client Portal
Built a self-service portal allowing clients to search, download, and manage their document collections
"iCaptur turned our document archive from a liability into our greatest competitive advantage. Clients now choose us specifically because of how fast they can find what they need."
Rebecca Torres · CTO
Results
- 2.4 million documents automatically classified into 120+ categories
- Search time reduced from 45 minutes to under 8 seconds
- Client self-service adoption reached 89% within 3 months
- New client onboarding time reduced from 2 weeks to 2 days
- 340% improvement in client satisfaction scores for document access
