Hear local risk in the language it spreads.

Sentinely is designed for public signals that cross languages, dialects, and regional platforms. The system preserves original text and source context while producing consistent classifications that local analysts can inspect and correct.

Original context retained

Keep the source language, translation, platform context, and model reasoning together.

Local terminology

Configure names, slang, campaign phrases, and known scam language by market.

Regional oversight

Let local analysts review ambiguous meaning before a high-impact escalation.

See it in your environment

Turn the next signal into a defensible decision.

See it with sample data Get started