Atomic claim extraction
Break long outputs into factual, normative, causal, recommendation, and citation claims.
Product overview
Proof-carrying AI output for real workflows.
Kivo gives consequential AI work a claim-source review layer before it becomes a customer answer, internal brief, analyst note, or workflow action.
Review runneeds review
Atomic claims extracted
Source spans mapped
Review brief compiled
Human reviewer assigned
Claim-source verification
Show which supplied evidence supports each claim and where context is thin.
Review brief artifact
Give reviewers a concise brief with unsupported claims, citation issues, and follow-ups.
Built around the review unit that matters.
Captured output enters as a review run
Kivo starts from structured work already happening in your product: an AI answer, supplied sources, citations, intended use, and workflow metadata.
Claims are split into reviewable units
The system extracts atomic claims so reviewers can inspect individual assertions instead of rereading the whole answer from scratch.
Evidence stays beside the decision
Source spans, support status, citation issues, and verifier metadata remain connected to the review brief.