The Moody’s RMS geocoding engine is tailored to the unique needs of insurers and their exposure data. Location Intelligence API leverages the same geocoding science used across all Moody’s RMS applications. This means underwriters have access to a more consistent view of risk and can avoid minor location discrepancies that could trigger major shifts and potentially distort a property’s risk profile.
Modernize Underwriting Workflows
Support high-volume business with highly granular hazard and exposure data available via API.
Accelerate Underwriting Decision-Making
Rigorously analyze pre-bind risk using best-in-class modeling science delivered with sub-second latency.
Unify Risk Analytics across Stakeholders
Apply a common set of analytics that delivers greater consistency between underwriting and portfolio steering.
Your Guide to Location Intelligence Data
Location Intelligence API delivers more than 100 data layers across multiple kinds of data: hazard, location, risk score, model, and exposure data. These insights play a critical role to help understand and manage risks and offer granular, location-specific attributes about potential hazards, exposures, and their associated costs.
Why Customers Choose Location Intelligence API
Location Intelligence API delivers key data and insights to help you improve business decisions and better manage risk.
Superior Data Quality
Location Intelligence API utilizes the same industry-leading science and data that informs the Moody’s RMS catastrophe modeling portfolio. Risk selection and pricing in residential and small commercial insurance is enhanced by differentiating property types and peril risks with highly granular insights.
Accessibility and Consistency
Location Intelligence API seamlessly integrates with the Moody’s RMS Intelligent Risk Platform . Users are equipped with a highly scalable, unified set of precision analytics to support the entire insurance value chain, from underwriting to portfolio steering.
Real-Time Response Speed
Location Intelligence API delivers high-quality analytics at the speed of business with sub-second latency . This helps underwriters work fast and with confidence using insights derived from Moody’s RMS solutions to feed pricing and risk selection.
Comprehensive Data Insights
Location Intelligence API offers extensive in-depth data insights, including loss costs and risk scores. This wealth of unique information is supported by more than 100 individual data layers, providing a comprehensive perspective on risk assessment.
Speed and Confidence: Make Better Underwriting Decisions w...
Residential and small commercial market insurers are facing continued pricing and coverage challenges. First, consumer demand for properties located in traditionally higher-risk areas has continued to rise, and with a changing risk landscape, inflation, and other factors, losses in these locations have also increased significantly. Second, the rise of on-demand, Internet-driven services with easy-to-use comparison sites, instant access to media sources, and same-day goods delivery, has seen consumer expe...
Major Hurricane Idalia: Risk Pricing Needs to Reflect Prop...
Hurricane Idalia made landfall as a Category 3 hurricane on August 30, 2023, near Keaton Beach, Florida, bringing with it damaging winds, heavy rainfall, and a devastating storm surge. Now with Idalia, this is the fourth consecutive year that a major (Category 3 or greater) hurricane has made landfall in the U.S., and it was also the first major hurricane to directly impact Florida’s Big Bend region in over 125 years. Moody’s RMS issued a private insurance market loss estimate for Idalia, estimating a US...
Democratizing Risk Data: How to Help Your Frontline Underw...
Underwriters are on the front line of insurance; they make the go/no-go decisions on whether new risks will arrive in the portfolio. Given the importance of their role as gatekeepers to new business, underwriting teams need the best available risk data for each property to empower them to make informed decisions. Downstream functions, such as portfolio managers and reinsurance purchasers through to brokers, have become accustomed to utilizing the best risk data that catastrophe modeling can offer, whereas underw...
Is It Time to Break up With Your Deficient Risk Scoring An...
Risk scoring is a fundamental part of the property and casualty underwriting process, allowing underwriters to sort and rank the quality of submissions. This process culminates in critical business decisions on quoting, declination, referral, and pricing, which taken together can make the difference between an insurer’s survival and its failure. The best insurers make these decisions in a manner that is disciplined, consistent, and data-driven. Those who fail to do this fall prey to adverse selection, ...
Importance of High-quality Data
Purpose-built Geocoding Data
Quality Data at Speed
New RMS Data Solutions Deliver Real-Time, Site-Specific In...
NEWARK, CA – June 28, 2019 – RMS®, a leading global risk modeling and analytics firm, announced the availability of two transformative data solutions hosted on RMS Risk Intelligence (RI), its strategic risk platform. Expanding on its suite of strategic risk products, these solutions employ sophisticated RMS models and rich data layers built into the RMS platform. With growing pressure to make critical underwriting decisions quickly, speed and precision is everything. RMS Location Intelligence API and the SiteIQ ...
Location Intelligence API
To survive in today’s competitive market, unyielding underwriting discipline is vital. Improper pricing assumptions, inappropriate declinations, and misalignment between underwriting and portfolio management can instantly erode underwriting margins. Underwriting discipline requires data-driven decisions that utilize the market’s most accurate risk indicators – provided by the RMS® Location Intelligence API.