Nearmap’s AI-powered models approved in 27 markets
Insurers can leverage the predictive scores to help price risk.
Nearmap has received regulatory approval for its predictive AI-powered peril models and scores in 26 states and Washington, D.C.
Insurers in those states can now use the pre-approved state rate filings in their rating plans to help better match premiums with risk. The states include key markets like Colorado, Georgia, Louisiana, Texas and Oklahoma.
“Pre-filing our models for state approvals is a great value-add for insurers,” said Madeline Lopeman, Nearmap’s director of data science, in a press release. “Once a state approves a score, it allows the insurer to quickly incorporate it into their insurance rates without extra time, cost and uncertainty.”
Nearmap’s AI models leverage third-party regional hazard data, claims histories and damage datasets to create predictive vulnerability and claim scores for wildfire, hurricane, wind and hail risks. High-resolution aerial images are also captured up to three times per year to update the scores.
Nearmap developed the models in collaboration with Milliman Appleseed, an insurance advisory organization with extensive ratemaking and regulatory filing experience. The partnership means Nearmap’s scores are reviewed and filed for fast, cost-efficient adoption, helping insurers quickly integrate them into their workflows.
“It’s important for insurers to continue to innovate and for regulators to ensure that the new technologies are consistent with state laws and regulations,” said Peggy Brinkmann, a principal at Milliman, in a release. “But no insurer wants a rate filing to be delayed because the regulator hasn’t seen a new tool before.”
Nearmap and Milliman are working to eventually gain approval in all 50 states. The predictive vulnerability and claim scores are available through Betterview, Nearmap’s software solution for insurance.
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