Insurtech
Road-level traffic data for more accurate territory risk pricing.
Postal codes show where a risk is located. Road-level data shows what driving is actually like inside it.
Road-segment traffic data gives actuarial teams a variable postal-code geography alone cannot provide. Carriers who have tested it against internal claims records have documented loss ratio improvements exceeding two points.
Road exposure varies significantly within territories that share similar geography
Two adjacent territories can show identical loss history and demographics, yet produce very different claims outcomes. One is quiet residential streets; the other carries dense arterial traffic and chronic congestion. Road-level data gives the model a variable that captures that distinction directly.
Telematics events scored with road context produce stronger risk differentiation
A hard braking event on a congested highway merge carries different information than the same event on a quiet suburban street. Road-segment data at the time of the event gives scoring models the context to separate road-condition behaviour from genuine driver risk. One data source covers territory pricing and UBI.
Most traffic data sources need to be re-mapped to your territory boundaries before your team can use them
Most available traffic data sources use their own road identifiers and boundary definitions, which don't match your territory structure. Getting the data into a usable form requires re-mapping every segment before evaluation can start. SMATS delivers data pre-aligned to the territory boundaries your team is already working with.
Our solutions
Auto insurance territory risk pricing
- Combines map and traffic data with territory-level risk indicators
- Adds a road-risk variable to test alongside existing loss and claims data
Usage based insurance pricing
- Tracks driver behavior like speeding, illegal maneuvers, and travel patterns
- Personalizes auto insurance pricing based on real driving data
Fraud detection and claims validation
- Cross-checks claims against map and real-time traffic data
- Flags inconsistencies to reduce fraud-related losses
Property insurance pricing
- Maps exact address locations to assess natural disasters, like flood, fire, and earthquake exposure
- Improves accuracy of location-based property risk pricing
Our approach
Pre-aligned to your territory geography
Data pre-aligned to census tracts, postal boundaries, and dissemination areas, the geographic units actuarial and pricing teams work with. No manual re-mapping required before evaluation can begin.
Ad-hoc event forensic studies
For carriers investigating claims tied to a specific event, SMATS can submit an ad-hoc study to retrieve the most accurate traffic and road condition data for a defined location and time window. This supports claims validation and fraud detection by grounding the assessment in measured conditions, not assumptions.
An input layer, not a black box
SMATS provides the traffic data layer. Your actuarial team evaluates whether it adds explanatory power, decides how to incorporate it, and owns the methodology and the regulatory filing. No proprietary scoring, no vendor-defined risk outputs.
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