Glacier Auto Insurance partnership

Pinpoint Predictive and Glacier Auto Insurance Announce New Partnership

Pinpoint Predictive and Glacier Insurance Company are pleased to announce a new partnership. Glacier will leverage Pinpoint’s top-of-funnel predictions, enabling the insurer to streamline better experiences for incoming customers. This partnership positions Glacier well with respect to the key recommendation of a December 6th AM Best special report. Considering that, “throughout the first nine months…

Justice and law concept

Reducing the Impact of Litigious Policyholders on P&C Carrier Loss Ratios

Reducing the Impact of Litigious Policyholders on P&C Carrier Loss Ratios According to National Association of Insurance Commissioners (NAIC) …while Florida homeowners insurance claims accounted for just over 8% of all homeowners claims opened by U.S. insurers in 2019, homeowners insurance lawsuits in Florida accounted for more than 76% of all litigation against insurers nationwide.”…

Innovation concept; woman staring at tablet

Pinpoint Predictive Joins Guidewire Insurtech Vanguards Program

Pinpoint Predictive, which provides Property and Casualty insurers with a top-of-funnel, deep-learning-powered loss predictions and risk scores, announced that the company has joined Guidewire’s Insurtech Vanguards program. This is an initiative led by property and casualty (P&C) cloud platform provider, Guidewire (NYSE: GWRE), to help insurers learn about the newest insurtechs and how to best…

Deep Learning concept

Pinpoint Launches the First Deep-Learning Risk Selection Platform

Pinpoint Predictive Launches the First Deep Learning-powered Prediction of Individual Customer Profitability Available at Top-of-Funnel San Mateo, California–November 17,2022 – Pinpoint Predictive announced today the release of the first deep-learning-powered, top-of-funnel individual customer profitability and loss prediction available commercially. Providing claims frequency, severity, and loss cost predictions, this new solution brings the earliest, and most…