The Challenge:

Incomplete and Fragmented Death Records

Accurately identifying deceased individuals within large datasets is not just a compliance issue—it's crucial for operational efficiency, fraud prevention, and respectful communication. Many organizations rely on outdated methods and unreliable data, leading to significant blind spots and costly errors.

The traditional gold standard for mortality tracking, the Social Security Administration's Death Master File (DMF), now captures only about 16% of all U.S. deaths according to Berwyn Group. This dramatic decrease forced data providers to seek alternative methods, such as obituary scraping, for finding and validating accurate data. Even when combining DMF and alternative methods data providers are still posed with many critical challenges:

• Severely Limited Coverage: Most sources miss a vast majority of actual deaths due to incomplete data, unstructured data, and lack of national coverage
• Data Fragmentation: Death information is scattered across thousands of sources, making data structuring, aggregation, and validation nearly impossible.
• Manual Verification Costs: Human-led audits are slow, expensive, and prone to errors, especially at scale.

The Solution:

Introducing FinalMile™

Emigrait has developed FinalMile™, a groundbreaking protocol designed to address these critical issues. FinalMile uses AI and large-scale data integration to significantly improve the accuracy and comprehensiveness of deceased individual identification.

Key Features:

• Comprehensive Data Aggregation: FinalMile scans hundreds of thousands of diverse sources where applicable and legally permitted, using specialized bot agents to independently verify deceased status.
• Scalable Workforce: A distributed network of AI agents ensures high scalability and efficiency in processing vast amounts of data.
• Dynamic Data Integration: Findings are seamlessly integrated into client databases, providing up-to-date information on demand.

Unmatched Performance:

Precision and Recall

In controlled benchmarking against industry vendors, FinalMile demonstrated exceptional results:

Near-Perfect Precision

FinalMile’s Precision NLP boasts near 100% precision, meaning every positive flag has been confirmed as a true positive. This eliminates false positives, ensuring reliable and accurate data.

Significant Coverage Improvement:

When integrated with FinalMile, even industry-leading solutions saw their recall increase, demonstrating FinalMile’s ability to complement and enhance existing workflows. On average, data providers saw coverage increase by 518%.

Superior Identification of Recently Deceased:

‍FinalMile captured 72% of deaths over the last 18 months. The leading solution provider in our test captured nearly the same percent of deaths, but not all of the same deaths, showcasing even the best solutions see tremendous added value by integrating with FinalMile.