LexisNexis® Rooftop

Get a more accurate view of roof risk by combining imagery analytics with claims-driven context.
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LexisNexis® Rooftop combines what you can see with what you can’t see for a more accurate roof inspection report score.

Hailstorms may be unpredictable, but data insights can help predict future roof losses. Click to learn how specific attributes can help insurers identify the properties most likely to file a hail claim.


With wind and hail losses representing nearly half of all losses in home insurance, asking consumers the age of their roof is no longer enough. LexisNexis® Rooftop combines aerial imagery data with claims-driven context so that insurers can improve the customer experience and make better decisions at underwriting, bind and renewal. Leveraging existing connections to our platform, home insurers can:

Accurately assess risk Automate decision-making
Depend on a meaningful roof risk score for critical inspection
and underwriting decisions
Automate decision making Accurately assess risk
Empower your team with a comprehensive suite of 50 roof
and property attributes including imagery
improve customer experience Improve the customer experience
Provide the right rate and speed up the underwriting process

Discover a better way to predict roof risk by downloading the Rooftop white paper today.

Access Whitepaper Here

Rooftop is a consumer reporting agency product provided by LexisNexis Risk Solutions and is fully compliant with the Fair Credit Reporting Act, 15 U.S.C. 1681, et seq. Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. This product or service aggregates and reports data, as provided by the public records and commercially available data sources, and is not the source of the data, nor is it a comprehensive compilation of the data. Before relying on any data, it should be independently verified.

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