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Building a Zero-Hallucination Verification Pipeline

Article

## The Verification Challenge

Extracting data from documents is only half the battle. The real question is: how do you know the extracted data is correct?

Our Approach

ClearSight implements a multi-layer verification system that operates after initial extraction.

Layer 1: Source Cross-Reference

Every extracted data point is traced back to its source text. Page numbers, paragraph locations, and exact text spans are recorded. If a data point cannot be traced to source text, it is flagged.

Layer 2: Consistency Checks

Extracted values are checked for internal consistency. Numbers should add up. Dates should be in valid ranges. Percentages should sum correctly.

Layer 3: Schema Validation

Each document type has a defined schema specifying expected fields, value types, and validation rules. Extracted data is validated against these schemas.

The Result

A verification score of 0.97+ across our production documents, with page-level citations for every data point. When ClearSight tells you a fund has 68.4% equity exposure, you can verify that claim directly in the source document.