DangerAlert fuses citizen emergency dispatches, official police advisories, and sensor feeds. Using autonomous Claude 3.5 Sonnet reasoning, we eradicate misinformation, quantify threat severity, and deliver geo-fenced life-saving alerts within 1.8 seconds.
Multiple eyewitness dispatches reporting heavy toxic smoke and secondary explosions near Logistics Center B.
Station closed due to unattended package. Police perimeter established, transit diverted.
3 crowd reports cross-referenced. High water levels obstructing South Highway exit 4.
> Ingested: 14 raw eyewitness reports + 2 police radio transcripts
> Cross-referencing geotags and timeline consistency...
> Threat Level Determined: CRITICAL (Industrial Fire, Chemical Hazard)
> Automated Action: Dispatched 12,480 geo-fenced push advisories within 3km perimeter
From raw eyewitness noise to validated, actionable survival intelligence.
Instant notifications for explosions, active threats, structure fires, and hazardous spills. Filtered precisely by neighborhood and travel route.
Eyewitness submissions are verified in real time by Claude 3.5 Sonnet to prevent panic, eliminate troll spam, and establish a factual truth index.
One-click family pairing. Automatically alerts you if a loved one enters or is trapped inside an active danger zone with live status check-ins.
Direct ingestion of municipal alerts, weather warnings, and first-responder advisories parsed and summarized in plain, multilingual language.
Bypasses silent mode for life-threatening CRITICAL events using native OS notification priorities. Evacuation routes delivered immediately.
End-to-end encrypted coordinate hashing. DangerAlert knows which zone to alert without ever retaining or monetizing individual travel history.
In an active crisis, hallucinations and delayed processing cost human lives. Generic LLM wrappers fail because emergency triage demands nuanced spatial reasoning, adversarial misinformation resistance, and rapid multi-document synthesis.
Claude ingests hundreds of simultaneous citizen reports, emergency dispatcher transcripts, and sensor telemetry in a single forward pass.
Anthropic’s safety-centric training prevents panic-inducing false alarms, ensuring only statistically substantiated emergencies are escalated to siren status.
Automates external database querying, reverse geocoding lookups, and direct Supabase event generation through secure tool orchestration.
Citizen reports, 911 scanner audio transcripts, and seismic/weather sensor alerts are bundled into structured JSON.
Claude 3.5 Sonnet compares witnesses, checks geographical anomalies, filters hoaxes, and calculates threat severity confidence.
PostgreSQL/Supabase triggers instant push notifications to mobile clients inside the danger perimeter with tailored survival advice.
DangerAlert is currently rolling out in select pilot metropolises. Join our early safety network or request emergency dispatcher partnership access.
For institutional inquiries, municipal agencies, or pilot integration: burak@dangeralert.world