Document Intelligence
Paper in, clean records out.
The problem
Critical data still arrives as documents — invoices, contracts, claims, IDs, bank statements — in layouts that change from sender to sender. Template-based OCR breaks on the first unfamiliar format, so teams fall back to manual keying, which is slow, expensive, and introduces exactly the errors the downstream process cannot tolerate.
How we approach it
We combine layout-aware OCR with models that understand what a document means, not just where the text sits. Every extracted field is validated against rules and cross-checked against your source systems, with a confidence score attached. High-confidence documents flow straight through; the rest reach a reviewer with the uncertain fields already highlighted.
Capabilities
What's included
Layout-aware OCR
Text, tables, checkboxes, and handwriting recovered from scans and photos, not just clean PDFs.
Schema-driven extraction
Fields pulled into the exact structure your systems expect, with types enforced.
Classification & splitting
Mixed batches sorted by document type and split into individual records automatically.
Validation & cross-checks
Totals reconciled, dates sanity-checked, and values matched against your master data.
Confidence-based review
Only uncertain fields go to a person, with the source region highlighted for a fast decision.
Audit trail
Every value traceable to the page and pixel it came from, for compliance and dispute handling.
Use cases
Where this tends to pay off
- Invoice and receipt capture straight into accounts payable
- Contract review that surfaces key terms, dates, and obligations
- Insurance claims and KYC documents checked and routed on arrival
- Digitising historical archives into a searchable, structured store
Which process would you automate first?
Bring us one workflow that costs your team real hours. We'll tell you honestly whether an agent is the right tool for it — and what it would take to build.