A transparent, multi-layered methodology combining AI precision with human expertise. Every claim is traced, tested, and tracked before reaching our encyclopedia.
From initial AI screening to expert sign-off, every fact passes through a rigorous, auditable workflow.
Claims are parsed for structure, citations, and semantic consistency. AI flags anomalies, missing references, or logical contradictions before human review.
Our system validates citations against peer-reviewed journals, official publications, and trusted archives. Broken or outdated links trigger immediate review.
Verified contributors with credentials in the relevant field evaluate accuracy, context, and nuance. Conflicting claims undergo dual-blind review.
Approved facts are immutably logged with a cryptographic hash, timestamp, and reviewer signature. Changes require a formal revision request.
Every verification step, citation, and expert note is published in our open ledger. Users can audit the entire history of any claim.
We don't just verify facts—we show you exactly how they were verified.
Secondary summaries are not accepted as final proof. Every claim must link to original research, official records, or direct archival material.
AI handles scale and pattern detection; humans provide contextual judgment. Neither acts alone. Consensus is required for publication.
Knowledge evolves. When new evidence emerges, flagged facts enter expedited review. All changes are versioned and publicly traceable.
Contested claims are escalated to an independent panel of scholars. Decisions are published with full reasoning and source comparisons.
Real-time tracking of claims moving through our pipeline. Transparent, auditable, and always active.
Everything you need to know about how we ensure accuracy, handle disputes, and maintain transparency.
Join the verification network. Submit claims, review drafts, or integrate our accuracy engine into your research workflow.