Quadrant Information Services: The Company Behind Every Insurance Rate Comparison

What Is Quadrant Information Services?

Quadrant Information Services is a private data company founded in 1991 by Michael Macauley. Based in California, Quadrant collects insurance rate filing data from state regulators, processes it into standardized rate sets, and licenses those rate sets to publishers, carriers, and financial services companies.

The company operates in a niche that most people outside the insurance industry have never heard of — but its data reaches tens of millions of consumers every year through the comparison sites that license it. If you have ever looked at an insurance rate comparison on a major financial website, you have almost certainly seen Quadrant's data.

Quadrant's product suite includes AxcelRate (a desktop rating tool for producing premium estimates), MapSight (geographic analysis of competitive positioning), and MarketBuilder (competitive analysis and market share tools). The company produces approximately 20,000 rate sets covering personal auto, homeowners, condo, and renters insurance lines.

In recent years, Quadrant was acquired by Worklyn Partners, a private equity firm. The implications of PE ownership for a data infrastructure company — particularly around investment in technology, update frequency, and pricing — are worth watching.

Who Uses Quadrant Data?

The list of Quadrant's publisher clients reads like a directory of every major insurance comparison and personal finance website in the United States:

• Bankrate — discloses in its methodology section that insurance rates are provided by Quadrant Information Services.
• NerdWallet — uses Quadrant data for its rate comparison content, typically disclosed in methodology footnotes.
• The Zebra — cites its partnership with Quadrant Information Services for rate filing data.
• Forbes Advisor — uses Quadrant-sourced rate data in its insurance comparison articles.
• LendingTree — licenses Quadrant data for insurance content across its properties.
• ValuePenguin (owned by LendingTree) — built its insurance comparison content on Quadrant rate sets.
• US News & World Report — uses Quadrant data for its insurance rankings and comparisons.
• Insurify — incorporates Quadrant data alongside its own quote aggregation platform.

The practical consequence: when a consumer visits multiple comparison sites to "get different perspectives" on insurance rates, they are often viewing the same Quadrant data presented with different editorial framing, different sample driver profiles, and different visual layouts. The underlying numbers trace back to the same source.

How Quadrant's Data Works

Quadrant's data production process follows a general workflow:

Collection: Quadrant collects rate filings from state Departments of Insurance, primarily through SERFF (the System for Electronic Rates and Forms Filing). These filings contain the complete rating structure that carriers have submitted to regulators — base rates, territorial factors, vehicle symbols, driver classification tables, and the algorithms that combine them.

Modeling: Rather than delivering the raw filed rate structures, Quadrant builds rating algorithms that model premiums for standardized driver profiles. These models take the filed factors and produce estimated premiums for specific combinations of driver age, vehicle type, coverage level, and location.

Packaging: The modeled outputs are packaged into rate sets — standardized data products that publishers can license and integrate into their comparison tools and editorial content. Each rate set covers a specific carrier, state, and insurance line.

Delivery: Historically, Quadrant's primary delivery mechanism has been its AxcelRate desktop application — a .NET-based tool that clients use to run rate comparisons. This approach reflects the company's origins in the 1990s, before API-native data delivery became the industry standard.

Key Limitations of Quadrant Data

Understanding what Quadrant data is — and what it is not — is important for anyone relying on published rate comparisons.

Modeled rates, not filed rates. Quadrant produces estimated premiums based on its interpretation of filed rating algorithms. These are not the actual factor tables and formulas that carriers submitted to regulators. The modeling process introduces assumptions — about how factors interact, which discounts apply, and how edge cases are handled — that may not precisely match the filed structure.

Sample driver profiles may not match your situation. Published rate comparisons based on Quadrant data use standardized profiles — typically a 30- or 35-year-old married driver with a clean record and standard coverage. If your age, credit tier, claims history, vehicle, or coverage selections differ, the published rates may not reflect what you would actually be quoted.

Update frequency is typically annual or semi-annual. Carriers file rate changes throughout the year — some file two or three times annually in a given state. The lag between when a filing is approved and when it appears in Quadrant's rate sets can range from weeks to months, depending on the state and carrier.

Methodology is proprietary. Quadrant does not publicly document its rate modeling methodology in detail. Clients receive the output — modeled premiums — without full visibility into how those numbers were derived from the underlying filings. The filed rate data is public, but Quadrant's interpretation of it is not.

Alternatives to Quadrant Data

For organizations and individuals who want insurance rate data, several alternatives to Quadrant exist — each with different tradeoffs:

SERFF Filing Access — The underlying regulatory filings are public records. Anyone can access them through SERFF Filing Access or state DOI websites. The data is free, comprehensive, and authoritative. The challenge is extraction: filings are PDF documents full of actuarial tables that require significant processing to convert into usable data.

State Department of Insurance websites — Many states publish rate filing information on their DOI websites, though the format, completeness, and ease of access vary significantly by state. California's CDI, for example, provides a public rate filing search, while other states offer more limited access.

TrueFactor — Built on direct SERFF filing data, TrueFactor processes regulatory filings into structured, queryable rate intelligence. Unlike Quadrant's modeled approach, TrueFactor preserves the actual filed rate structures — territory factors, vehicle symbols, and rate algorithms — as they appear in the regulatory filings. Explore California rates or Texas rates to see the difference.

Direct carrier quotes — For individual consumers, the most accurate rate information comes from direct quotes obtained through carrier websites or agents. This is the most precise option but also the most time-intensive, requiring separate applications to each carrier.

Why Primary-Source Data Matters

The insurance rate data landscape is changing. For three decades, Quadrant has operated as the de facto standard for rate comparison data — a position enabled by the difficulty of extracting and processing regulatory filings at scale.

That difficulty is diminishing. Advances in AI-powered document processing have made it feasible to extract complete rate structures directly from SERFF filings — preserving the granularity and precision of the original regulatory data without the lossy compression of modeling for sample profiles.

For insurance carriers, this means access to competitive intelligence with more detail, more currency, and full transparency into the data source. For consumers, it means rate data that reflects actual filed pricing rather than estimated averages.

The regulatory filings are public. The question is whether you access them through an intermediary that models and packages the data, or whether you go directly to the source.

See also: Where Insurance Rate Comparisons Get Their Data | Insurance Rate Data Providers Compared | All Rate Data