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Document Pipeline

ContextBuilder: From Messy Documents to Trusted Data

A claims document pipeline that turns PDFs, scans, and images into structured, quality-checked claim data, with human review where it matters.

The Document Chaos Problem

Claims arrive as chaotic document bundles: blurry photos, multi-page PDFs, scanned forms. Extracting accurate data is slow, error-prone, and expensive.

Purpose-Built Pipeline for Claims

ContextBuilder is a purpose-built pipeline for claims documents. It automatically ingests, classifies, and extracts data, then applies quality gates to surface exceptions for human review.

The result: claim-ready "context packs" that downstream systems can trust.

All document processing respects your data residency requirements. See our Trust Center for details.

5-Step Pipeline

From raw documents to structured data

1

Ingest

Transforms documents into machine-readable text and layout using advanced OCR and vision models.

2

Classify

Identifies document type and language to route correctly: loss notice, police report, invoice, etc.

3

Extract

Pulls structured fields based on document type. Normalizes so same concept looks the same everywhere.

4

Quality Gates

Automated checks validate completeness and consistency. Pass / Warn / Fail scoring.

5

QA Console

Human-in-the-loop review workspace. Quickly confirm, correct, and label documents.

All document processing runs within your chosen data residency zone. See our Trust Center.

Explore the Code

ContextBuilder is built with transparency in mind

AgenticContextBuilder

Explore our open-source document processing pipeline on GitHub. See how we transform unstructured claims documents into structured, trusted data.

View on GitHub

What You Get: A Claim-Ready Context Pack

Clean structured dataset

Key fields extracted and normalized

Quality status

Pass/Warn/Fail per document and run

Evidence links

From each field back to originating document text

Human labels

Optional notes where review was performed

Performance Metrics

97%

Document Coverage

97.3%

Accuracy

96.5%

Evidence Rate

<1%

Document Classification Error Rate

Based on pilot data

Process a Sample of Your Documents

Send us 50 claim documents. We'll run them through ContextBuilder and show you the extraction quality, error analysis, and time savings.

Request a Pilot