NEXT Insurance uses Akur8 to help scale pricing capability framework

Goal

Create high-performing and scalable predictive modeling framework pricing.

Results

Improved accuracy, speed and efficiency through seamless collaboration

Feedback

"Together with Akur8, we’re able to further innovate upon our current capabilities to deliver even more accuracy, speed and efficiency at scale for NEXT’s growing customer bases."

Phil Natoli, Chief Actuary at NEXT

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“With Akur8’s platform, our actuarial, data science, and product teams can collaborate seamlessly throughout the insurance pricing process. It ensures higher efficiency and delivers visual insights that are explainable across a variety of stakeholders.”

Peter Yin, Senior Actuarial Manager at NEXT

Actuaries working with Akur8 solution

Drive business value by bringing your end-to-end pricing process to the next level

Akur8 is the only technology on the market that automates the generation of production-ready GAM/GLMs. Thanks to its unique proprietary algorithms, it delivers tremendous business value by unlocking untapped combined ratio improvement. 

Why Akur8?

Other use cases

Logo Cypress

“The Akur8 platform does a remarkable job at streamlining complex ratemaking and modeling tasks. By leveraging this solution, our team can quickly run pricing and profitability models for multiple lines of business, across geographic locations. Akur8 allows us to easily summarize complex results and distribute them across internal teams.”

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Logo_Canal_Insurance

“Speed wins in our business. Using Akur8’s solution allows our pricing actuaries to build models more quickly, giving us more time for testing and, more importantly, improving speed to market on our product offerings.”

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Logo HDVI

“As a data-driven company, HDVI continues to invest in tools that leverage our proprietary big data sets and telematics data to develop industry-leading insights and risk models.The Akur8 platform enables greater collaboration across our growing team. By eliminating the coding language barrier and providing increased transparency, it will reduce errors and allow us to more quickly develop additional models that can be incorporated into our insurance product and safety solutions.”

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