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HazardHub | Make Unknown Risks Known


Get the right risk data, exactly when you need it

Insuring property has become riskier. Unknown risks threaten insurers and insured alike. HazardHub geospatial data makes unknown risks known.

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Accurate data is critical for Mercury to properly assess the risk of a property. We did a rigorous examination of risk score alternatives and chose HazardHub for their superior accuracy and overall value.

Jonathan Kisler

Portfolio Underwriter
Mercury Insurance

Make Informed Decisions

Receive data and scores based on 950+ geospatial risk variables. Then use the data to micro-segment, prospect, write, and manage risks profitably.

  • Natural and man-made risk data enables insurers to assess every type of property risk — including perils from air, water, earth, and fire

  • Get risk data on any property or set of properties on a continual basis to identify trends that may impact exposure to risk over time

  • Comprehensive property attributes give insurers a clear understanding of risks to properties and structures

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Assess Risks for Multiple Properties

See a complete portfolio view of personal or commercial property risks in the United States.

  • Examine personal and commercial properties to understand and assess every US-based prospect and policyholder’s property risk profile

  • Applies to all U.S. lines of business – including Homeowners, Commercial Property, Auto Physical Damage, Business Owners Policies, and Inland Marine

  • Automatic updates to new data and data sets

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Get Valuable Risk Scores in Seconds

Get results just seconds after you key in any US address.

  • HazardHub's API features a self-serve developer portal with documentation to ensure fast implementation

  • Easy-to-use data input so users need to key in only a US address to receive property risk scores in less than two seconds

  • Broad data output that integrates with policy administration systems to power seamless underwriting workflows

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Schedule a demo today to see how HazardHub makes unknown risks known.

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