The Right Insights Have More Impact
Underwriting cat-exposed property requires instinct and deep insights into hazard and vulnerability, and how they manifest in catastrophe risk models. To manage this risk, insurers don’t need more data sources, they need better tools and more insight. Location Intelligence API brings hazard, exposure, geospatial, and loss data from the science and expertise of Moody's RMS into your risk management processes.
Integrate Insightful Data Easily
Moody's RMS Location Intelligence APIs are specifically designed for easy integration into your existing underwriting workflow and can help you make better, faster, and more profitable decline/refer/quote decisions.
Enable Consistent Risk Decisions
Ensure consistent decision data and a common set of analytics is used across your organization and the risk transfer process – underwriting, modeling, capital management, and regulatory reporting.
Leverage Best-in-Class Data
Moody's RMS Location Intelligence API data is specifically derived from our best-in-class models to ensure the highest data quality and granularity can be applied in your underwriting processes, enabling you to outperform your competition.
The Location Intelligence API delivers key data and insights to help you improve business decisions and better manage risk.
Avoid adverse selection and improve underwriting profitability.
Use the same data sources from underwriting to portfolio management, enabling optimal portfolio construction.
Weed out bad risks early to optimize agent workflow and maximize submission flow.
Enable straight-through processing and speed up your quoting process.
Data Breadth and Depth
Quality Data Is Table Stakes for Profitable Underwriting
“There is still an insufficient amount of data being gathered to enable the accurate assessment and pricing of risks [that] our industry has been covering for decades.”
Key Features of Location Intelligence API
Moody's RMS offers full global coverage of natural hazard data, delivered instantly, with a simple API call.
Improve accuracy of your location data with powerful geocoding designed to support underwriting, capital management, and reinsurance purchasing.
Access robust exposure data with better risk differentiation, lower uncertainty in model results, and more granular pricing.
Simplify evaluation with the Moody's RMS RiskScore, a single number representing the results of a complex big data catastrophe simulation.
Uncover loss cost (“pure premium”) to identify the true cost of insuring a risk and determining final price paid by the insured.
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.
Get Leading Risk Analytics to Your Underwriting Process