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Computer vision development

Computer vision that turns images into trustworthy data

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.

Is this you?

Who it's for

A good fit if you

Have piles of drawings, PDFs, forms, or imagery people key in by hand.
Inspect equipment, sites, or infrastructure and want it faster and more consistent.
Need accurate, structured output — where a wrong value has real consequences.

Probably not a fit if you

Have only a handful of documents — manual is fine.
Want 100% autonomy with no human check on edge cases.
Have no source images or documents to work from.
What we build

Vision systems that produce data you can trust

Drawing & document extraction

Read engineering drawings, spec tables, and forms into structured, queryable data — at high accuracy with review on low-confidence items.

Asset & site inspection

Assess equipment and infrastructure condition from images and video — faster and more consistent than manual inspection.

Anomaly & defect detection

Flag defects, damage, or out-of-spec conditions and route them to the right person.

Data for digital twins

Turn physical records into the verified asset database that feeds a digital twin — no manual re-entry.

Human-in-the-loop review

Confidence scoring that sends only uncertain cases to a reviewer — accuracy without a manual bottleneck.

Integration

Feed the structured output straight into your systems — ERP, asset registers, or a twin.

How we work

A working pipeline in weeks, then scale

Discovery & scoping

We assess your documents or imagery and target accuracy, and scope the fastest path to value.

Prototype

A working pipeline on your real samples in weeks — with measured accuracy.

Production build

Confidence scoring, review workflow, monitoring, and data security, baked in.

Launch & iterate

We ship, measure on real volume, and improve. You own the code.

Why Waveo

Vision that's engineered for accuracy

Computer vision is only useful if the output is right — this is where confidence scoring and review earn their keep.

Accuracy you can measure

We've built extraction pipelines reaching very high accuracy on real documents — with human review catching the rest.

Real engineering

AWS Solutions Architect certified — pipelines that scale and stay reliable, not a notebook demo.

Feeds the bigger system

The structured data plugs into automation and digital twins — vision as one part of a working whole.

How engagements work

Start small, prove accuracy, then scale

Every engagement starts with a paid discovery sprint, so you get a concrete plan, measured accuracy, and an estimate before committing to a build.

Discovery sprint

A fixed, paid sprint that tests your samples, measures accuracy, and returns a plan and estimate.

Fixed-scope pilot

A production pipeline for one document type or inspection task, with review workflow.

Ongoing partnership

We scale across document types and volume and run it as an extension of your team.

FAQ

Questions we hear a lot

How accurate is the extraction?

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.

Can you read messy scans and handwriting?

Often, yes — we test on your real samples during discovery and tell you honestly what's achievable before you commit to a build.

Do we still need people in the loop?

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.

How does this connect to a digital twin?

The structured output becomes the verified asset database a digital twin runs on — so the twin starts from real data instead of manual entry.

How fast can we see results?

A working pipeline on your real samples in weeks, with measured accuracy. Production depends on scope, but we work in weeks, not quarters.

Get started

Drowning in documents or inspections?

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