Separate harmful false claims from ordinary criticism.

Sentinely is designed to distinguish potentially harmful false claims from benign conversation, criticism, and satire. Analysts see the claim, source, propagation signals, and model rationale before deciding whether it belongs in a case.

Context-aware classification

Evaluate the full claim and surrounding conversation, not isolated sentiment.

Propagation signals

Track reach, repetition, source relationships, and changes in velocity.

Review before escalation

Keep consequential classifications under explicit human control.

See it in your environment

Turn the next signal into a defensible decision.

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