AI agents that detect disasters from satellite imagery, map damage, assess severity, and generate response plans. Autonomously. In hours, not days.
After every earthquake, flood, or hurricane, humanitarian organizations mobilize volunteer mappers to trace satellite imagery by hand. Building by building. Road by road. It takes days to weeks before responders have the maps they need.
Ridgeline's agents process satellite imagery autonomously, identifying damaged buildings, blocked roads, and affected infrastructure. Response teams get actionable maps in hours.
Four autonomous stages from satellite feed to response-ready intelligence.
Agents watch satellite feeds and seismic data around the clock. When a disaster event is detected, mapping begins automatically.
AI models analyze pre- and post-disaster imagery to identify building footprints, road networks, and infrastructure changes across the affected area.
Each structure is classified by damage level. Population exposure and infrastructure impact are estimated from the mapped data.
Actionable reports with prioritized zones, access routes, and resource needs are generated and shared with response teams.
Ridgeline is building the autonomous mapping layer for humanitarian response. Because getting there faster means saving more lives.