Source quality
Identify the publisher, authority, publication state, date, version, and proximity to the underlying information.
Platform capability / Data verification
Verify material claims with evidence people can inspect
Clarify Data is designed to separate consequential statements, trace them to sources, surface conflicts, and route uncertainty to human review.
Working principle: Verification supports judgment. It does not guarantee truth, replace qualified professional review, or make high-impact decisions automatically.
The verification model
A citation alone is not enough
Direct support
Connect the exact claim to the relevant passage, table, record, or calculation rather than a broad bibliography.
Context and scope
Check definitions, geography, population, time window, methodology, and intended use.
Conflict handling
Preserve disagreements and explain whether they arise from different methods, dates, or source quality.
Freshness
Record when the evidence was checked and define when changing information must be reviewed again.
Review state
Show who reviewed the result, what remains uncertain, and whether the claim is ready for its intended use.
AI claim verification
Break fluent output into claims that can be checked
AI-generated content can mix accurate, outdated, indirect, and invented statements in one convincing paragraph.
Capture the original output
Keep the model output, prompt context, date, and version available for review.
Extract material claims
Separate factual assertions, calculations, quotations, interpretations, and recommendations.
Search and map evidence
Connect each material claim to available primary or authoritative evidence and record the search scope.
Evaluate support
Label direct support, partial support, contradiction, missing evidence, staleness, and unresolved ambiguity.
Route consequential uncertainty
Send low-confidence or high-impact claims to a qualified reviewer before release or action.
Deliverables
Outputs designed for review, not black-box scoring
Claim register
A structured list of material assertions, source mappings, dates, and current review states.
Evidence pack
Relevant passages, data fields, definitions, conflicts, and provenance assembled for inspection.
Decision notes
A concise explanation of what is supported, what changed, what remains unknown, and what needs specialist review.
A practical next step
Bring a real question. Leave with a clearer evidence path.
Show us the dataset, claim, report, or market question your team needs to trust. We will map the relevant workflow and the review points it requires.