PLATFORM · P05 BUILT

Document Intelligence

Confidence-scored extraction with human review built in. Auditable, not black-box.

Document Intelligence extracts structured data from unstructured documents — claims forms, applications, medical records, invoices — and scores its own confidence on every field. A human reviews the low-confidence ones. A regulator can inspect any of them.

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01 · The problem

What document intelligence is for.

Extraction models that guess without saying so
Manual review that is either 100% or 0%
Downstream systems using extracted data with no lineage
A regulator asking why your model chose what it chose
PII in documents you did not know was there
Human reviewers rekeying what the model got right

02 · What is in it

The capability.

Confidence-scored fields

Every extracted field carries a probability. Anything below your threshold routes to human review. Anything above routes straight through.

Human review by design

Not an escape hatch — a first-class component. Reviewers see the source alongside the extraction, decide, and their decision feeds back to the model.

Full lineage

From pixel to database row. Every downstream use of an extracted field can be traced back to the exact source region.

PII detection

Sensitive fields flagged, masked or extracted-with-consent per your rules.

03 · The distinctive mechanic

Confidence as a first-class citizen.

Every extraction tool has a confidence score inside it. Most hide it. Document Intelligence surfaces it, thresholds it, and routes on it — so the humans do the humans\' work and the machines do the machines\' work, and the split is visible to anyone who looks.

04 · Who it is for

Any function that processes documents at scale. Claims handlers. Underwriters. Medical records teams. Accounts payable. Any operator carrying regulatory obligation for what gets extracted.

Run document intelligence in your business.

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