NEXT Insurance uses Akur8 to help scale pricing capability framework
Standort:
Ziel
Create high-performing and scalable predictive modeling framework pricing.
Verwendetes Modul
Ergebnisse
Improved accuracy, speed and efficiency through seamless collaboration
Rückmeldung
"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
“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
Verbessern Sie Ihre Performance, indem Sie Ihren End-to-End-Pricing-Prozess auf das nächste Level bringen.
Akur8 ist die einzige Technologie auf dem Markt, die die Erstellung produktionsreifer GAM/GLMs automatisiert. Dank seiner einzigartigen patentierten Algorithmen liefert es einen enormen Geschäftswert, indem es Verbesserungen der Schaden-Kosten-Quote ermöglicht.
Andere Use Cases
“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.”
“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.”
“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.”
