Reactive Crisis Monitoring

BirunIQ Sentry

Confidence earned, never asserted.

From the trailer · demonstration data
Industry served

Crisis cells and national response agencies

In a crisis the failure that costs most is not the missed detection.

Sentry watches named sites. Each one gets a risk score and the drivers behind it, so the score can be argued with. Incidents land in a console, and change detection runs alongside.

In the demonstration, scores rest on Guardian's synthetic strike-risk model, and the screen says so.

Department modules

3
each owned and accountable on its own.

01Crisis Command

The active picture during an event — what changed, where, and how confident we are.

02Change Detection

Optical, SAR and thermal run as independent detectors; confidence is granted only where they agree.

03Incidents

Scored incidents carrying their own evidence and thresholds, with a one-click report.

Optical · SAR · thermal — confidence earned, not asserted
AI decision support

One analyst across every source the asking user can see, inside that user's grants.

“Did anything change at our highest-priority assets overnight?”

The platform resolves

A background daemon searches the catalogues on a priority-driven interval and runs real optical, SAR and thermal detectors, opening a scored incident when it finds change.

The guardrailConfidence is a band, never a fabricated percentage — and it is only raised where independent modalities agree. A degraded model cannot invent an incident.
Same platform underneath
Shared

One map, one catalog, one sign-in

Sentry runs on the same engine as every other edition, with 30 shared capabilities built once.

Deploy

SaaS, sovereign hybrid, air-gap capable

Licensed per tenant, data kept apart by row-level security, access scoped by team. Sovereignty →

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