Curiosity is the soul of innovation. At Verikai, we are lifelong students and are constantly improving what we know or learning something new. We want to know how the pieces come together. We want people who love ideas and puzzles. Knowledge begins with a question.
Verikai was founded in 2017 with the singular goal of leveraging our data and modeling to build a better reinsurance company. Quickly, we realized our naïveté and uncovered the vast complexities of doing so.
Instead, we developed a database of 250 million people, tracking 1 trillion data points. In our conversations with various insurance carriers and in testing our data, we found that the true value of Verikai was our understanding of data. Companies in regulated markets were having trouble finding reliable sources of normalized, clean, compliant, secure and unique data.
Similar to what Stripe has done for developers and payments, we are doing the same for insurance carriers and alternative data. And, because financial services is a highly regulated industry, the stakes are even higher. In addition to making data easy, we also want to promote financial inclusion through the use of our scores and an ethical AI platform that fights bias.
We also pride ourselves in taking initiative. Every start-up requires an entrepreneurial spirit. We want risk takers, adventurers, self-starters and hard workers. We need the brains and the braun.
Without customers, we have no business. We learn from one another. Everything we do is grounded in the intricacies of their business and operations. Listening to our customers is always a top priority.
We take risks, but we don’t blindly gamble. Because the foundation of our company is built on the decision sciences, we gather proof, data, and evidence as part of our decision making process. Those who exercise sound judgment are coveted at Verikai.
CTO Brett Coffin was using a proprietary machine-learning algorithm to run a successful FX/currency-trading operation when he was introduced to Hari. Challenged by Hari to build a solution for segmentation in protected markets, Brett wrote an entirely ML platform and built out an API-based platform to deliver the product in real-time.
Hari is a physician and serial entrepreneur, having founded two previous companies, including Auris Health & Predilytics. With the successful sale of both companies, he saw an opportunity in the market to understand how alternative data and machine learning could change or inform underwriting processes.
Chris has spent 20 years in fintech managing sales, operations, product, and partership teams. Chris was an executive at Yodlee, a data company, which was sold in 2016. Chris also ran partnerships at WePay, an online payments provider which was sold to Chase. He received a BA from the University of Michigan and an MBA from Stanford University.