BackRoadIntel provides continuous, AI‑driven monitoring of evacuation routes, regional road networks, and remote roadside assets for remote communities.
Funding
Funding not disclosed
Founders
Product
Problem
Remote communities rely on extensive road networks and evacuation routes that are difficult to monitor due to their distance, harsh environments, and limited on‑site personnel. Without continuous visibility, hazards such as rock slides, debris, and infrastructure degradation go undetected, compromising emergency response and road safety.
Solution
BackRoadIntel offers an AI‑powered platform that continuously assesses evacuation routes, regional road networks, and roadside assets by processing kinetic and video data captured automatically from existing vehicle fleets. The system detects hazards—including rock slides, fallen logs, and structural wear—and generates a quantitative road‑scoring index. Detected events and condition trends are exported to Google Maps, Google Earth, and ArcGIS, enabling planners to evaluate evacuation capacity and prioritize maintenance. By delivering up‑to‑date, geospatially referenced insights, the platform supports faster, data‑driven decisions for emergency management and infrastructure upkeep in remote areas.
Target Audience
Primary customers are municipal and regional transportation agencies, emergency management authorities, and infrastructure operators responsible for remote road networks and evacuation planning.
Features
- Proprietary kinetic + video data pipeline that ingests sensor streams from any fleet vehicle in real time
- AI‑based visual change detection for rock slides, debris, culvert and bridge degradation
- Automated road‑scoring algorithm that grades hazardous zones and overall route safety
- Continuous monitoring with degradation trend analysis and maintenance forecasting
- GIS‑compatible outputs (Google Maps, Google Earth, ArcGIS) including KMZ asset layers and road condition overlays
- Integrated evacuation capacity modeling that accounts for vehicle class compatibility and delay analysis