UrbanStat Underwriting Platform

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UrbanStat improves P&C insurance companies loss ratios by up to 7 points using geospatial analytics and machine-learning risk scoring.

Key Features

1.) Machine-Learning Risk Scoring: a risk-scoring algorithm for the risk selection process which has lowered loss ratios on average by 3 to 7 points. The algorithm is learning from insurance carriers' historical policy+claims information and also external data-sets that we have sourced to provide insurance companies with a predictive risk-selection score for new and renewal policies.

2.) Visualization: see your portfolio visually (total insured value heat maps, distance to coast, fire department response time maps, etc.) and draw polygons/shapes around specific areas to set underwriting parameters.

3.) External Data-Sets: see up to 30 sourced data points for an address/policy including crime, flood, tornadoes, sinkhole, and year built to name a few.

4.) Real-Time weather event tracking: see real-time weather events such as hurricanes overlaid onto your portfolio to see which policies will be affected in just a few seconds.

Key Benefits

Loss ratio improvement by 3 to 7 points.


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