AI + human verification for engineering drawings

Turn hard-to-find engineering drawings
into accessible, structured data

Securely extract title-block metadata from files. Verify with human oversight and audit trails, then scale across large drawing sets with secure batch pipelines that protect your sensitive engineering data.

See Key Stats
Metadata extraction + verification in one workflow
Built for EPCs, utilities, and manufacturers
Engineering blueprints
AI and Machine Learning
Professional mining and engineering drawings

What do you need?

Built for drawing operations at scale

Convert “dark data” into trustworthy, findable metadata, and then standardise it with bulk workflows.

Title-block metadata extraction

Extract drawing numbers, title, revision, infer categories, and other key fields from files and scans.

Zero-tolerance multi-model consensus

Every extraction is independently verified by multi models. Results are only accepted when models achieve perfect agreement — no partial matches, no guesswork.

Human verification + auditability

Track verification status and audit history so you know what’s confirmed by humans vs AI and why it changed.

Scales across large drawing sets

Run batch pipelines (workers/queues) with retries and consistency instead of relying on manual effort.

Find related drawings fast

Group revisions, dedupe near-duplicates, and find related drawings with title-block similarity search.

Downstream automation-ready

Structured metadata enables reporting, dashboards, and completeness and health scoring.

Title-block metadata extraction

Extract drawing numbers, title, revision, infer categories, and other key fields from files and scans.

Zero-tolerance multi-model consensus

Every extraction is independently verified by multi models. Results are only accepted when models achieve perfect agreement — no partial matches, no guesswork.

Human verification + auditability

Track verification status and audit history so you know what’s confirmed by humans vs AI and why it changed.

Scales across large drawing sets

Run batch pipelines (workers/queues) with retries and consistency instead of relying on manual effort.

Find related drawings fast

Group revisions, dedupe near-duplicates, and find related drawings with title-block similarity search.

Downstream automation-ready

Structured metadata enables reporting, dashboards, and completeness and health scoring.

From chaos to findable, structured data

Real results from recent customer projects in hours, not weeks

0/h

Speed

AI processes up to 2,500 drawings per hour, with human verification handling 200 per hour.

0x

Findability

From 12% were discoverable to nearly 100% findable.

0%

Completeness

Processing success rate, 100% of available data is extracted from drawings.

Paper is not the enemy

The problem isn’t that your drawings are old, it’s that their knowledge is locked away. DrawingHub extracts, organises, and connects information from existing 2D CAD drawings so it can be reused, trusted, and built upon.

“After migrating to our Engineering Drawing Management System (DMS), our engineers and coordinators couldn’t find the drawings they were searching for. Waterline reviewed our current state, re-processed all our drawings, removed duplicates and populated the metadata fields for all the drawings. We found that 88% of the existing system metadata was generic and unsearchable. We are now at close to 100% metadata extracted from our drawings. This rebuilt confidence in the system without compromising governance. Our DMS is now a system our technical personnel on site can rely on again.”

EEM

Electrical Engineering Manager

Make drawings AI ready, without losing trust

Convert “dark data” into trustworthy, findable metadata, by standardising it with bulk workflows and human verification so that teams can rely on for search, analytics, and automation.

Bulk processing • Human verified fields • Transparent audit history