GeoRisk combines real-time threat intelligence with micro-scale Uber H3 spatial grid indexing to dynamically recalculate navigation routes—steering drivers away from crime flashpoints, potholes, and hazardous delays.
Select preset routes or toggle safety parameters to observe dynamic edge-weighting in real time.
How GeoRisk Redefines Navigation Safety
Traditional GPS engines calculate solely for time and distance. GeoRisk continuously injects localized threat indexes directly into spatial network graph edges.
Utilizes Uber H3 spatial indexing to partition geography into sub-meter discrete hexagonal units for ultra-precise threat aggregation.
Custom high-throughput routing engine with multi-weighted edge costing based on real-time threat multipliers rather than static speed limits.
Aggregates crime data, crowd intelligence, road maintenance logs, and emergency dispatch alerts into living grid maps updated in under 500ms.
Plug-and-play RESTful and gRPC endpoints tailored for logistics fleets, e-hailing drivers, Cash-In-Transit (CIT), and security response teams.
From cargo hi-jacking hot spots in Gauteng to volatile flashpoint corridors in urban hubs, static route planners expose drivers to unnecessary hazards. GeoRisk provides proactive dynamic re-routing.
Reduce insurance premiums and protect logistics personnel with mandatory safe-corridor enforcement.
Prevent drivers and passengers from entering active unrest or high-risk red zones during nocturnal hours.
Optimize response times while avoiding compromised infrastructure and blocked access points.
{ "origin": "-26.1076, 28.0567", "destination": "-26.1367, 28.2411", "risk_parameters": { "max_risk_score": 15, "avoid_crime_corridors": true, "avoid_pothole_clusters": true, "h3_resolution": 9 }, "vehicle_profile": "armored_freight" }
White-Label Integration Ready
Full REST, GeoJSON output & SDKs for Android / iOS.