Digital Documentation & Document AI
Document processing projects are judged on the awkward cases: the scan at an angle, the invoice in a layout you have never seen, the handwritten note in the margin. Getting ninety percent right is easy; the value is in what you do with the rest.
Discuss your documentsWhat We Build
Turning documents into data your systems can act on.
Data Extraction
Fields, tables and line items pulled from invoices, contracts, statements and forms into your schema.
Classification & Routing
Incoming documents identified and routed to the right queue, system or person automatically.
OCR & Handwriting
Scans, photos and handwritten forms processed, with quality handling for the ones taken badly.
Validation Rules
Business rules and cross-checks applied at extraction — totals matching, dates plausible, references known.
Human Review
A review interface that shows the document beside the extracted fields, focused on low-confidence values.
System Integration
Verified data pushed into your ERP, accounting or case management system, with reconciliation.
What The System Handles
Poor quality inputs
Skewed, low-resolution and photographed documents corrected before extraction.
Tables and line items
Multi-page tables and line-item detail, which is where most generic tools fall apart.
Multiple languages
Documents in several languages and scripts, including mixed-language pages.
Sensitive data
PII detection, redaction and retention policies applied automatically.
Continuous improvement
Corrections from reviewers used to improve accuracy on the formats you see most.
Throughput reporting
Volume, straight-through rate and review time, so the saving is measurable.
Where We Put AI To Work
We take on AI projects where the outcome can be measured — a cost that falls, a queue that clears, a decision that gets more accurate.
Talk to our teamAdvanced AI Engineering Capabilities
The difference between a demo that impresses and a system you can rely on.
Evaluation harness
A scored test set built from your real data, run on every prompt, model or retrieval change.
Guardrails
Input and output filtering, prompt-injection defences and refusal behaviour you have chosen.
Cost engineering
Caching, model tiering and context trimming so unit economics work at real volume.
Provider abstraction
One interface across providers, so switching model is configuration rather than a rewrite.
Self-hosted options
Open-weight models served in your own infrastructure where data cannot leave your estate.
Full request logging
Prompt, context, response and score retained for debugging and audit.
How We Deliver
One document type proven end to end before the rest follow.
Sample and assess
A representative sample of your real documents — including the bad ones — analysed for feasibility.
Build extraction
Pipeline built and measured against a labelled set, per field.
Review interface
Human review tooling and integration into the downstream system.
Roll out
One document type live, thresholds tuned on real volume, then expand.
Stop Retyping Documents
Send us a sample of your real documents, including the awkward ones. You will get a measured feasibility assessment.
Request an assessmentDocument AI Questions
Everything you need to know about our ai development work.
