Extract factual claims
Identify discrete, checkable statements involving dates, figures, specifications, policies, research findings, titles, and events.
Evidara is an evidence-first audit layer for AI-generated content. It identifies factual claims, links them to relevant sources, flags contradictions, and shows what needs human review.
Built for evidence review—not unsupported certainty.
What Evidara does
AI can produce polished, persuasive content that includes unsupported, outdated, incomplete, or incorrect factual claims. Evidara helps reviewers see where the evidence is strong, where it conflicts, and where a human decision is needed.
Identify discrete, checkable statements involving dates, figures, specifications, policies, research findings, titles, and events.
Retrieve relevant source material and preserve the evidence context needed to understand why a claim was supported, unresolved, or challenged.
Separate evidence-supported findings from contradictions, ambiguity, missing context, and claims that require further human review.
How it works
Evidara is designed to make review faster without hiding uncertainty behind a single opaque score.
Start with AI-generated draft text, a report, a briefing, a proposal, a customer response, or other reviewable content.
Evidara separates checkable factual assertions from opinions, recommendations, forecasts, and non-verifiable language.
Each claim is compared against relevant evidence and marked as supported, contradicted, unresolved, or in need of context.
Review the evidence trail, prioritize material issues, and decide what to revise, verify further, approve, or escalate.
Where Evidara helps
Evidara is intended to support review workflows where accuracy, traceability, and defensible sourcing matter.
Review figures, dates, historical statements, policy claims, and citations before distributing an AI-assisted document.
Review answers drafted for customers, users, or stakeholders before they become published guidance or official communication.
Surface unsupported market data, company claims, product specifications, and trend statements before they influence a decision.
Create an evidence-aware review layer for content that requires careful sourcing, explicit uncertainty, and accountable human judgment.
Evidence-first principles
Evidara is designed to support human judgment—not replace it. Every result should make the evidence, limits, and unresolved questions visible.
A confident answer is not enough. Material conclusions should be linked to relevant, reviewable sources.
A claim may be unresolved because evidence is unavailable, incomplete, inaccessible, ambiguous, or outdated.
Evidara can organize evidence and flag risk. Users remain responsible for decisions, approvals, and final release.
Join the Evidara early-access list to receive product updates, prototype access information, and opportunities to help shape the first review workflows.