
Use actual vehicle sightings to verify garaging address and commuting mileage.
Vendor
Verisk
Company Website

Garaging misrepresentation costs auto insurers some $2.4B annually.* Fight fraud and screen new business with 4B+ license plate sightings spanning 75% of the US.
Garaging misrepresentation isn’t a fib—it’s fraud
Incorrect garaging information can significantly affect both the insurer and the insured, leading to premium leakage, coverage issues, financial losses, and regulatory action.
Close the door on garaging fraud
Boost pricing accuracy and minimize premium leakage at point of sale and renewal, ensuring policies are correctly written and priced for ongoing rate integrity.
Uncover the truth
Leverage a rich database of 4B+ license plate sightings from 75% of the nation to identify time, frequency, and proximity relative to a given garaging address.
Plug the leaks
See the complete picture: Garaging location and commuting mileage can result in extreme premium differentials.
Cover your bases
Ensure drivers have the appropriate in-state policy to avoid discrepancies in PIP, medical, minimum limits, and other provisions.
How GarageConfirm Works
GarageConfirm tracks vehicle locations relative to listed addresses, creating location-based loss cost and premium differentials by analyzing geospatial clusters of recent sightings.
Features and capabilities
Fraud detection
Recover potential lost premium at point-of-sale and renewal by confirming reported addresses and commuting mileage.
Location-based insights
Generate loss costs and premium differential for top-three vehicle sighting locations with access to 4B+ records.
Unmatched data
Tap into the largest database of license plate sightings, spanning 75% of the nation and previously available only to law enforcement and lenders.
* Updated 2022 estimate based on Coalition Against Insurance Fraud’s The Impact of Insurance Fraud on the U.S. Economy, pages 23-26, applying overall annual premium leakage increase to Verisk’s estimate from The Challenge of Auto Insurance Premium Leakage, 2017.