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Document AI & OCR services.

Paper in, structured data out.

Reading, classifying and extracting data from invoices, forms, IDs and contracts, at volume.

Release gateExample targets
Answer accuracy≥ 95%
p95 latency< 2.0 s
Cost per 1k taskswithin budget
Safety & PII tests100% pass
Nothing ships until every bar passes.4–8 weeks
Why most document ai & ocr projects stall

The problems we solve first.

01

Variety

Every supplier’s invoice looks different.

02

Accuracy

A wrong number in finance is costly.

03

Volume

Thousands of documents a day.

What you get.

Every engagement includes design, engineering, evaluation, security review and handover from one senior team.

01

Classification

Sort documents by type automatically.

02

Extraction

Fields, tables and line items.

03

Validation

Rules and cross-checks on extracted data.

04

Review queue

People check low-confidence fields.

05

Integration

Data pushed to ERP, CRM or DB.

06

Accuracy reports

Field-level accuracy tracked.

Document AI & OCR, by industry.

01FinanceInvoice and receipt capture↗02LendingBank statement analysis↗03InsuranceClaim document intake↗04HealthcareLab report digitisation↗05LogisticsBills of lading↗06LegalContract data extraction↗

How we ship AI that holds up.

Evaluation comes before scale. You see it working on your data before you commit to the full build.

011 week

Discover

Pick the task, define what “good” means and collect sample data.

022 weeks

Prototype

A working version on your real data, shown to real users.

031–2 weeks

Evaluate

Automated tests for accuracy, latency, cost and safety.

044–8 weeks

Productionise

Security, scaling, integrations and admin controls.

05Ongoing

Monitor

Quality, drift and spend tracked; prompts and models improved.

Models we work with
OpenAIClaudeGeminiLlamaMistral
Typical stack for document ai & ocr
Azure Document IntelligenceAWS TextractOpenAIClaudePython
Security & governance, by default
Your data stays yours
Enterprise model endpoints with no training on your data, or self-hosted models.
Region & residency
Deployed in the cloud region your compliance needs.
PII redaction
Personal data masked before it reaches a model.
Permission-aware
The AI sees only what the user is allowed to see.
Full audit trail
Every prompt, answer and action logged.
Evaluated before release
Nothing ships without passing the release gate.

Three ways to start.

012 weeks

AI sprint

One use case, prototyped on your data and tested with users.

You leave with · Prototype + go/no-go
026–8 weeks

Pilot

A production-grade version for one team, with evals and monitoring.

You leave with · Live pilot + ROI data
03Monthly

AI team

A dedicated squad that ships and improves AI across your products.

You leave with · Roadmap delivered

Questions, answered.

Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.

Ready to try document ai & ocr? Start with a sprint.

Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.

Book a 2-week AI sprintReply in 1 day
Phone
Interested in
Budget
Confidential. NDA on request.

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