Nearmap for P&C Underwriting, Claims, and Catastrophe Response

In-Depth Review

Nearmap combines high-resolution aerial imagery capture with AI-powered property analytics, positioning itself as a single platform for carriers who need both current imagery and structured property data. The 2023 acquisition of Betterview added insurance-specific roof condition scoring and property risk analytics that were already embedded in carrier underwriting workflows.

What Nearmap Does for Insurance Professionals

The platform addresses two problems that P&C carriers typically solve with separate vendors. First, it captures aerial imagery of 100M+ properties across the US, Canada, Australia, and New Zealand, with refresh cycles of 2-3 times per year in major metros. Second, it applies computer vision to extract 60+ property attributes from that imagery: roof condition, estimated age, material type, solar panels, pools, vegetation overhang, and building dimensions.

With Betterview now part of Nearmap, the insurance-specific analytics layer includes roof age estimation, condition classification, and risk scoring calibrated against carrier loss data. This is not a generic property data product retrofitted for insurance; the Betterview models were built for and trained on insurance use cases from the start.

Key Capabilities

Aerial imagery is Nearmap’s foundation. The company operates its own aircraft fleet and captures at up to 5.5 cm ground sample distance in select markets. For carriers, the practical question is how current the imagery is for your writing territories. In well-covered metro areas, 2-3 captures per year means the data reflects recent property conditions. In rural areas, expect annual or less frequent updates.

AI attribute extraction processes imagery to output structured data on 60+ property characteristics. Roof condition, material, and estimated age are the headline features for underwriting. Vegetation proximity, pool detection, and detached structure identification address liability and wildfire risk. All outputs are machine-readable and designed for API integration, not manual review.

Catastrophe response uses Nearmap’s capture fleet for post-event imagery. Carriers can compare pre-event baselines against post-disaster captures to scope damage across a portfolio, prioritize adjuster deployment, and support claims decisions with visual evidence. This capability proved valuable during recent hurricane and wildfire seasons.

Betterview insurance analytics provide the scoring models carriers need for automated underwriting decisions. Roof age estimates, condition grades, and property risk classifications feed directly into policy admin systems. These models were already integrated with Guidewire, Duck Creek, and Applied Epic before the acquisition.

Pricing

Enterprise contracts only. No public pricing. Deals are structured around imagery access (geographic coverage and refresh frequency), API call volume (for property attribute queries), and portfolio size (for batch analytics). Before entering a contract discussion, confirm: imagery currency in your primary territories, per-query costs at your projected volume, and how Betterview analytics are bundled or priced separately.

Honest Assessment

The acquisition of Betterview was strategically sound: combining imagery capture with insurance-specific analytics removes a vendor coordination layer that carriers otherwise manage themselves. The execution of that integration is still in progress. Some carriers who used standalone Betterview report feature or workflow differences in the post-acquisition product. Confirm that the specific Betterview capabilities you rely on are fully available within the Nearmap platform before making a switch.

Imagery currency remains the practical gating factor. In dense metro areas, Nearmap’s refresh cycle is among the best in the market. In rural territories, you may find imagery that is 12-18 months old, which limits its value for detecting recent property changes.

One Thing to Test Before Committing

Request imagery dates and AI attribute outputs for 300-500 addresses from your current book, split between metro and rural territories. Compare roof condition scores against your own inspection records and claims data. The delta between metro and rural data quality will tell you how much of your book the product can actually serve at the level of currency and accuracy your underwriting guidelines require.