Insurance analytics · Verisk Analytics, Inc.

Verisk

Data and analytics provider supplying property, claims, underwriting and catastrophe risk datasets that insurers use to price and manage risk.

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Verisk is principally a data business rather than a software company: its value is the proprietary claims, property and underwriting datasets it has aggregated across the P&C insurance industry over decades, most notably through ISO, its rating and rules-content subsidiary, and ISO ClaimSearch, a shared claims database used industry-wide for fraud and subrogation detection. Analytics and predictive scoring sit on top of that data to support underwriting triage, claims fraud detection and catastrophe exposure assessment. Insurers consume Verisk data through APIs and data feeds integrated into their own policy administration and claims systems (including Guidewire and Duck Creek) rather than through a standalone analytics workbench. This data-first model distinguishes it from Guidewire Predict, which is an analytics layer embedded in a specific core system.

At a glance

Vendor Verisk Analytics, Inc.
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for P&C insurers and reinsurers that need third-party risk data and analytics to underwrite and price policies.

Pricing

Data licensing and analytics access priced per dataset, volume and use case; not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Proprietary property and casualty claims databases (ISO ClaimSearch)
  • Catastrophe and weather-risk data feeds
  • Underwriting and rating rules content (ISO lines)
  • Auto and property claims fraud and subrogation analytics
  • Predictive scoring models for underwriting risk
  • Regulatory and compliance content for insurance filings

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Guidewire Predict Predictive-modeling suite embedded in Guidewire's InsuranceSuite that scores underwriting submissions and claims directly in existing workflows. Cotality Property data and analytics provider supplying parcel, hazard, valuation and claims data insurers use for underwriting and catastrophe risk. Moody's RMS Catastrophe risk modeling platform quantifying hurricane, earthquake, flood, wildfire and climate risk for insurers, reinsurers and ILS investors.

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Terms to know

Predictive analytics Analytics that uses historical data and statistical models to estimate what is likely to happen next. Data quality The degree to which data is accurate, complete, consistent and fit for the purpose it is being used for. Fraud detection Identifying transactions, claims, or behavior that are likely fraudulent, using rules, statistics, or machine learning.

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