Drawing & document extraction
Read engineering drawings, spec tables, and forms into structured, queryable data — at high accuracy with review on low-confidence items.
We build production computer-vision systems that read drawings, documents, and imagery into structured data — and inspect assets and detect anomalies — with human review on low-confidence items, so the output is accurate enough to act on.
From engineering drawings and spec tables to inspection imagery and video — we extract, classify, and verify at scale, and route only the uncertain cases to a person.
Read engineering drawings, spec tables, and forms into structured, queryable data — at high accuracy with review on low-confidence items.
Assess equipment and infrastructure condition from images and video — faster and more consistent than manual inspection.
Flag defects, damage, or out-of-spec conditions and route them to the right person.
Turn physical records into the verified asset database that feeds a digital twin — no manual re-entry.
Confidence scoring that sends only uncertain cases to a reviewer — accuracy without a manual bottleneck.
Feed the structured output straight into your systems — ERP, asset registers, or a twin.
We assess your documents or imagery and target accuracy, and scope the fastest path to value.
A working pipeline on your real samples in weeks — with measured accuracy.
Confidence scoring, review workflow, monitoring, and data security, baked in.
We ship, measure on real volume, and improve. You own the code.
Computer vision is only useful if the output is right — this is where confidence scoring and review earn their keep.
We've built extraction pipelines reaching very high accuracy on real documents — with human review catching the rest.
AWS Solutions Architect certified — pipelines that scale and stay reliable, not a notebook demo.
The structured data plugs into automation and digital twins — vision as one part of a working whole.
Client details kept confidential; described by domain and outcome.
A computer-vision pipeline that reads engineering drawings and spec tables into a structured asset database — with human review on low-confidence items.
Read the case Related serviceWhere vision-extracted asset data becomes a live, monitored model of your infrastructure.
Explore service IndustryVision inspection and parts-data extraction for businesses that make, move, and maintain machinery.
Explore industryEvery engagement starts with a paid discovery sprint, so you get a concrete plan, measured accuracy, and an estimate before committing to a build.
A fixed, paid sprint that tests your samples, measures accuracy, and returns a plan and estimate.
A production pipeline for one document type or inspection task, with review workflow.
We scale across document types and volume and run it as an extension of your team.
It depends on the document quality and task, but we've reached very high accuracy on real engineering documents. Confidence scoring sends only the uncertain cases to a human reviewer, so the data you keep is trustworthy.
Often, yes — we test on your real samples during discovery and tell you honestly what's achievable before you commit to a build.
For anything with real consequences, yes — but only on the small share of low-confidence cases. That's how you get accuracy without a manual bottleneck.
The structured output becomes the verified asset database a digital twin runs on — so the twin starts from real data instead of manual entry.
A working pipeline on your real samples in weeks, with measured accuracy. Production depends on scope, but we work in weeks, not quarters.
Send us a few real samples and what you need out of them — we'll come back with what's achievable and how we'd build it.
Book a discovery call