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Accuracy

Evidence-backed answers from every document.

SAPR instruments every extraction with provenance, confidence scoring, and statistical QA so audit teams never have to wonder where a value came from.

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Validated accuracy
99%+
Fields with provenance
100%
Manual rework
< 0.3%

Instrumentation

Field-level provenance

Every value links back to a visual snippet, table coordinates, and the underlying text token span.

  • Confidence score plus extraction reason
  • Outlier flags when a value deviates from historical bands
  • Immutable audit log for every edit
  • Model-output health monitoring surfaces anomalies early

QA

Continuous statistical QA

Stratified statistical sampling with a human review queue yields reportable confidence intervals (e.g., 97.5% CI) on extracted accuracy.

  • Auto-generated acceptance report
  • Drill into any miss with one click
  • Regression tracking across releases
  • Reportable confidence intervals from stratified samples (configurable bands)

Review

Anomaly queue built-in

Let analysts focus on the handful of items machine learning isn’t 100% sure about.

  • Priority scoring by risk bands
  • Side-by-side source context
  • Click-to-approve with provenance retained
  • Triage prioritized by confidence and model-health signals

How it works

Accuracy pipeline

From ingestion to delivery, each stage preserves evidence so risk, audit, and regulators can follow the chain. End-to-end multi-model, multi-modal ensembles power parsing and extraction.

  1. 1 Structured ingestion normalizes scans, layouts, and applies metadata tags automatically.
  2. 2 Extraction agents capture values plus bounding boxes; all predictions keep attribution metadata.
  3. 3 Statistical QA samples are routed to your review queue with ready-made checklists.
  4. 4 Final delivery includes confidence distribution, anomalies, and downloadable evidence packets.

Turn your document backlog into trusted data.

Share a sample set, see validated outputs, and scope a 20-minute rollout plan.

Book a demo See sample output