Life Expectancy Estimate

Our Life Expectancy Estimate is a comprehensive and data-driven assessment, ensuring accuracy and reliability. Skilled underwriters evaluate risk factors, supported by an underwriting manual and a rigorous double-blind audit system for consistent application of conditions. Utilizing decades' worth of data on the life settlement population, we have developed a sophisticated condition debit/credit model, using data regressions to pinpoint and adjust specific conditions. The same data was used to build our proprietary mortality tables that incorporate layers of secondary and underwriting anti-selections and mortality improvement, remaining accurate over time. As a final step, we consider comorbidities to prevent excessive debiting of conditions stemming from a single underlying issue. You can trust our report for a fair and balanced evaluation.

Accelerated Longevity Estimate

By using a medical history questionnaire/interview, our evaluation process is designed to cater to your specific target population. While the self-reported data we collect is not independently verified, it serves as a practical alternative in situations where a fully underwritten life expectancy estimate is not possible. To further enhance the accuracy of our assessments, we also integrate instantly available Rx, labs, and claims data. This valuable information allows us to confirm specific medical conditions and refine our evaluations. Rest assured, we will customize our approach to meet your unique needs and provide you with the most reliable results possible.

Rx/Labs/Claims Report

The Rx, Labs, and Claims Data Report is an invaluable resource that provides a detailed analysis of an insured individual's medication history, offering crucial insights into their pharmaceutical usage and treatment patterns. This comprehensive report offers a comprehensive overview of the individual's prescribed medications, dosage information, frequency of use, and related healthcare claims.

Vision Preview

We use AI to analyze medical records, providing you with an intuitive interface to easily access critical information and assess mortality risk. The advanced machine learning algorithms read and extract key details from the records, bookmarking specific conditions for quick reference. This streamlined approach enables efficient examination of disease progression, treatment effectiveness, and potential complications, empowering underwriters to make informed decisions.

Population Mortality

To derive our mortality tables we start with U.S. population mortality, which gives us a baseline. Unlike traditional mortality tables used in the insurance industry, that are based on nearest age or age last, our formulaic tables account for continuous age.

Secondary Anti-Selection

We then reflect the impact of the insured’s decision to try to sell their policy. Our research has uncovered an anti-selection effect for those individuals. In other words, they tend to have lower mortality rates in the first several years than those who are keeping their life insurance policy.

Underwriting Anti-Selection

Next we account for underwriting anti-selection – which occurs at the time the original policy was purchased. This component recognizes that life insurance underwriting results in better mortality, the effects of the which wear off over time.

Mortality Improvement

It is widely known that the average person’s life expectancy is longer today than it was in the past. So what does that mean for our business? We must quantify the incremental shifts in standard mortality over time and account for it in our process.

We do this by applying a small factor based on age, gender, and smoking status to each of our tables that accounts for advances is medicine and other things that generally increase life expectancies over time.