# DrawingHub

> AI-powered engineering drawing metadata extraction platform

DrawingHub helps mining, heavy industry, and engineering organisations extract, verify, and manage metadata from engineering drawings at scale. We convert "dark data" locked in title blocks into trustworthy, findable metadata that makes engineering drawing management systems (EDMS/DMS) reliable again.

## Pages

- [Homepage](https://drawinghub.ai/en): Product overview, features, key stats, testimonials, and CTA
- [About Us](https://drawinghub.ai/en/about-us): Company background, deep domain expertise in engineering drawings, CAD environments, and document management systems. Our approach to findability, safety, and secure AI.
- [FAQ](https://drawinghub.ai/en/faq): 20 answers covering metadata extraction, DMS integration, security, AI accuracy, and our AI maturity framework
- [AI Maturity Framework](https://drawinghub.ai/en/intelligent-business): Six-level AI maturity model (Aware → Familiar → Practicing → Used in Anger → Embedded → Mastery) covering literacy, leadership, strategy, workforce evolution, and ethical implementation
- [Contact](https://drawinghub.ai/en/contact): Reach the DrawingHub team for questions about eDMS integration, engineering drawing metadata extraction, and solutions for Australian mining and heavy industry operations

## Blog

- [Title Blocks: Page One of Findability](https://drawinghub.ai/en/blog/title-block-metadata-extraction): Why AS 1100 / ISO 7200 title blocks hold the metadata operations teams need, and why DrawingHub treats title-block extraction as page one of every findability report
- [Engineering Drawing Management Explained](https://drawinghub.ai/en/blog/engineering-drawing-management): What engineering drawing management is, why drawing repositories degrade over time, drawing register vs EDMS, and where DrawingHub fits as a metadata extraction and validation layer beneath the EDMS
- [Engineering Drawings in Australian Mining](https://drawinghub.ai/en/blog/engineering-drawings-australian-mining): How accurate, findable engineering-drawing metadata underpins WHS mine-safety compliance (WA/NSW/QLD survey-plan duties, 7-year record retention), operational risk (the 1996 Gretley inrush), and capital-project asset handover (ISO 19650, CFIHOS) in Australian mining

## Key Topics

- Engineering drawing metadata extraction from PDF and DWG files
- Title-block data extraction: drawing numbers, titles, revisions, categories
- Zero-tolerance multi-model AI consensus for metadata accuracy
- Human-in-the-loop verification and audit trails
- Engineering Drawing Management Systems (EDMS/DMS) — augments ProjectWise and similar platforms
- Bulk drawing processing pipelines (workers/queues) at scale: up to 2,500 drawings/hour
- Mining, energy & utilities, and heavy industry asset operations
- AI maturity model for operationalising AI in business

## Key Stats

- AI processes up to 2,500 drawings per hour
- Human verification handles 200 drawings per hour
- Customer result: from 12% findable to nearly 100% findable
- 100% of available data extracted from drawings (processing success rate)
- Case result: 88% of existing DMS metadata was generic/unsearchable — rebuilt to ~100% extracted metadata

## Contact

- Email: info@drawinghub.ai
- LinkedIn: https://www.linkedin.com/company/drawing-hub-ai
- Website: https://drawinghub.ai

## Languages

Available in English (en), Spanish (es), and Dutch (nl).