Institutional response relies on high-latency verification. By the time mainstream media or UN mandates confirm a collapsed building or a flash flood, the critical 24-hour survival window is already closing. In crisis response, latency is lethal.
Sentinel bypasses the wait. We ingest raw, unstructured crowd signals and local web chatter. Our AI engine (Claude) triages the noise, synthesizes the context, and generates a unified severity score—beating mainstream reporting by an average of 18.4 hours.
Ingesting localized chatter, crowd-sourced field reports, and fragmented human distress signals from ground zero.
Grounding reports with Mapbox geospatial layers, historical infrastructure data, and NGO vulnerability maps.
LLM reasoning engine processes the intersection, calculating risk velocity and outputting actionable deployment intelligence.