Case Study: Tensorflight improves property insurance accuracy with dataplor

How Tensorflight Revolutionized Property Insurance with dataplor

Tensorflight, a technology company specializing in property analytics for insurance, needed to enhance the quality and accuracy of its data to help insurers better target policies and set premiums. To solve this, they rigorously evaluated over five Points of Interest (POI) data providers and selected dataplor for its superior coverage, address accuracy, and insurance-specific attributes.

The solution involved integrating dataplor's POI data into Tensorflight's internal data warehouse and proprietary models. This integration resulted in increased geocoding accuracy, more precise building replacement cost estimations, and improved determination of occupancy types. dataplor's data was pivotal in fueling these advancements and is now central to Tensorflight's future plans for developing a fully-automated AI risk assessment system.

Tensorflight