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Blog
The IMQ process is flawed. Here’s how alternative data is the solution.

Most underwriters can admit that individual medical questionnaires (IMQs) are neither efficient nor accurate in predicting future insurance claims. What’s wrong with IMQs? For starters, no one particularly likes them. Employees... Read More

May 5, 2022 Verikai
Blog
Breaking into the field of Data Science with Jessica Yu

At Verikai, we consider our team culture a top priority, and a huge part of building an inclusive and innovative culture is the value we place on diversity. So today, we sat down with our very talented Data Scientist, Jessica Yu,... Read More

April 28, 2022 Verikai
Blog
Employee Spotlight: 12 Questions with Lu Yu, Data Science Manager

For today’s employee spotlight, we’re highlighting the one and only Lu Yu – our data science mastermind. Lu is a crucial member of our team, we’re incredibly lucky to have him. Data science is a... Read More

August 5, 2021 Verikai
Newsroom
Verikai Introduces Marketplace to Simplify the Placement of Group Health Insurance for Brokers and Underwriters

SAN FRANCISCO, CA – July 12th, 2021 – Insurance technology startup, Verikai, has updated their user interface and with it launched their new product: Marketplace. Verikai uses machine learning models to give insurance... Read More

July 12, 2021 Ellie Newby
Blog
About Our Marketplace

The Verikai Marketplace, making it easy for brokers and underwriters to cast a wider net in receiving and binding quotes, will be live in just a few weeks. Today, we are breaking down what to expect, and explaining how this new... Read More

June 16, 2021 Ellie Newby