Sentinely
Platform

Platform

From public signal to defensible action.

OverviewSee the complete monitoring and case workflowDetection and prioritizationFind material threats without the mention noiseEvidence and casesPreserve proof, provenance, and decisionsCoverageReview supported public surfacesIntegrations and APIConnect alerts and operational systems
Use Cases

Use Cases

Operational jobs for communications and protection teams.

Reputation monitoringPrioritize material public reputation riskEarly crisis detectionSee accelerating threats before volume peaksImpersonation protectionProtect trusted public identitiesEvidence and escalationMove from signal to accountable actionMultilingual monitoringHear regional risk in local context
Threats

Threats

Monitor the forms of abuse that damage trust.

ImpersonationFake accounts, pages, and identitiesScams and fraudFraudulent claims, promotions, and paymentsFake apps and sitesLookalike listings, domains, and phishingMisinformationMaterial false claims with propagation risk
Teams

Teams

A workflow shaped for the people operating it.

AgenciesMulti-client monitoring and client-ready proofBrand and communicationsEarlier warnings with decision contextRegulated organizationsGoverned evidence and deployment control
Resources

Resources

Practical guidance for accountable protection.

Brand-threat guideBuild a modern monitoring programPlatform coverageUnderstand where Sentinely listensEvidence integrityDefine a defensible evidence standardDocumentationTechnical reference for operators and developers
PricingBlog
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Explore Sentinely

Platform

OverviewDetection and prioritizationEvidence and casesCoverageIntegrations and API

Use Cases

Reputation monitoringEarly crisis detectionImpersonation protectionEvidence and escalationMultilingual monitoring

Threats

ImpersonationScams and fraudFake apps and sitesMisinformation

Teams

AgenciesBrand and communicationsRegulated organizations

Resources

Brand-threat guidePlatform coverageEvidence integrityDocumentation
PricingBlog

Misinformation monitoring

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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Sentinely

Public-surface brand-threat monitoring with auditable evidence and human-controlled escalation.

Platform

OverviewDetectionEvidence and cases

Use cases

Reputation monitoringEarly crisis detectionMultilingual monitoring

Threats

ImpersonationScams and fraudFake apps and sites

Company

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