
Akur8 helps AXA China to deliver valuable insurance solutions to their customers
Location:
Goal
Reduction in modeling time
Module used
Results
Reduction in modeling time
Feedback
“Akur8 helps us continue to strive for technical sophistication and empowers us to deliver valuable insurance solutions to our customers more efficiently while ensuring utmost transparency and control. We believe Akur8 will not only be an important asset to our team’s work along the whole pricing value chain, but also of great value to our customers for providing increased personalization and targeted pricing in a dynamic marketplace.”
Scott Yin, Chief Pricing Officer & Chief Actuary, AXA Tianping



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.
Other use cases

“Akur8 is a best-in-class pricing solution. The results we observed during the pilot phase are speaking for themselves, with dramatic reduction in modeling time and more predictive power of the models. This will both accelerate our time-to-market and improve our pricing accuracy, bringing substantial value to our partners and the end-customer, in a time that requires ever more reactivity and transparency.”

"We found insightful interactions after one day of modeling with Akur8’s insurance pricing solution. Leveraging this user-friendly and transparent platform will enable our pricing team to build better models faster across more lines of business."

“Akur8 offers a game changing approach to ratemaking compared to manual solutions, that we were eager to adopt. The benefits in terms of speed and performance are major, while the process is robust and safe. The collaborative and intuitive interface, the smart features as well as the reactive and proficient support were also greatly appreciated by our pricing teams.”




