Ensuring road safety is no longer just about reacting to accidents — it's about predicting and preventing them.
GeoInt’s Road Risk Index (RRI) is a AI-driven solution that transforms how insurers, municipalities, and logistics leaders assess road safety. Built using advanced machine learning and geospatial intelligence, RRI delivers predictive risk scores at a road-segment level, enabling smarter decisions in planning, underwriting, and public safety.
Why RRI?
Today’s road safety assessments are fragmented, reactive, and often based on outdated summaries. RRI changes that with a forward-looking approach:
Predict Risk Before It Happens
Leverage forward-looking risk scores to understand which road segments pose the greatest threat — before incidents occur.
Pinpointed, Actionable Intelligence
Granular, road-level insights that help insurers, planners, and operators price more accurately, plan proactively, and prevent losses.
Built with Real-World Context
Powered by AI that factors in traffic patterns, road design, accident history, and weather scenarios.Risk insights that mirror real-world conditions.
For Insurers, Planners & Fleet Leaders
What’s Inside Road Risk Index
Data Sources That Power Smarter Risk Decisions
- TomTom's National road network data enriched with curvature, speed profiles, elevation, and road classifications
- Aggregated accident hotspots from verified SAPS datasets
Actionable Outputs That Drive Results
Road-by-road risk scores visualised in interactive dashboards on platforms like MapStack with the ability to export risk details for a route
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