Verisk Analytics

Verisk Analytics is a data analytics company that has operated at the center of the US insurance industry for decades. Its AI and statistical modeling tools underpin risk assessment, pricing, and fraud detection for virtually every major property, casualty, and life insurer in the country. Unlike consumer-facing insurance tools, Verisk sells data services and analytical infrastructure to carriers, reinsurers, and large brokers rather than to individual policyholders.

How Verisk Analytics works

Verisk aggregates loss data, claims records, and environmental datasets from across the industry and uses that pooled information to produce standardized outputs that individual carriers could not generate on their own. Its ISO division publishes the policy language and loss cost relativities that most US property and casualty insurers adopt as their baseline. On top of that foundation, Verisk layers proprietary models for extreme weather events, property characteristics, and claims fraud patterns. Carriers license these outputs through data feeds, API integrations, or embedded scoring services that slot into their underwriting and claims workflows.

Strengths

• Industry-standard risk scoring. Because Verisk’s ISO loss cost data is used across the market, a carrier licensing it can benchmark its own pricing against a widely accepted reference point, which matters for regulatory filings and reinsurance negotiations.
• Extreme weather modeling. Verisk’s catastrophe models cover hurricane, wildfire, flood, and other severe weather perils at a geographic resolution that most carriers cannot replicate internally. These models inform both pricing and capital allocation decisions.
• Fraud detection network. Because Verisk aggregates claims data from a large share of US insurers, its fraud signals reflect cross-carrier patterns that a single insurer’s internal data cannot surface. A claimant who has filed suspicious claims at multiple carriers shows up in the network in a way that would be invisible to any one company acting alone.
• ISO policy language. Verisk’s ISO division drafts and maintains standard policy forms that serve as the legal backbone for most personal and commercial lines policies in the US, reducing drafting costs and regulatory friction for insurers who adopt them.

Limitations

• Not accessible to individuals or small businesses. Verisk sells enterprise data licenses to insurance carriers and large institutions. There is no self-service product, no public pricing, and no way for a consumer or small brokerage to engage with the platform directly.
• Pricing is opaque and carrier-dependent. Contract terms and costs vary by insurer size, product line, and data volume. Buyers should expect a negotiated enterprise agreement rather than a published rate card.
• Model opacity. Because Verisk’s scoring and catastrophe models are proprietary, individual insurers and policyholders often cannot audit how a specific risk was scored or why a premium changed, which can be frustrating when results are disputed.
• Concentration risk for the industry. The breadth of Verisk’s market penetration means that a flaw in one of its core models can propagate across many carriers simultaneously, creating correlated pricing or underwriting errors at scale.

Who it is for

Verisk is built for property and casualty insurance carriers, reinsurers, state insurance departments, and large commercial brokers that need actuarially credible loss data, catastrophe modeling, or fraud network intelligence. It is also relevant to insurtech companies that want to integrate standard ISO forms or loss costs into new carrier products. Anyone outside the institutional insurance market is not the intended audience.

How it compares

Verisk operates in a different segment of the insurance market than the consumer-facing tools most policyholders encounter. If you are an individual shopping for coverage rather than an underwriting professional, tools like Policygenius are more relevant: Policygenius aggregates quotes across carriers and helps individuals compare life, health, home, and auto policies without needing to interpret actuarial data. For pet insurance specifically, Lemonade Pet offers a direct consumer experience built on its own AI claims and underwriting stack, which sits on top of the kind of industry loss data that companies like Verisk supply behind the scenes. Neither of those tools competes with Verisk; they represent the consumer layer that sits downstream of the infrastructure Verisk provides to the carriers themselves.