Key features
01
Detects fraud through
social data analytics.
02
Fully automated validation process.
03
Easy to incorporate to your current workflow.
Use Cases
Detect individuals who smoke but claim they don't.
Detect individuals who smoke but claim they don't
Kiwi leverages social data points to support claim and underwriting teams at Fortune 500 carriers by flagging inconsistencies between the individual’s disclosed lifestyle and their actual life choices. Kiwi engages with a national carrier to identify individuals who may smoke but chose not disclosed the harmful habit during the underwriting process.
Detect individuals who claim to be disabled but aren't.
Detect individuals who claim to be disabled but aren't
Kiwi engages with a Fortune 500 carrier to identify its policyholders who have claimed disability coverage but demonstrate an active lifestyle without disability. Kiwi analyzes tens of millions social data points to identify inconsistencies between policyholders disclosed lifestyle and their actual activity. The results are expected to reduce claims leakage by ~6% over time.