PZU deployed Akur8 for its entities in Lithuania and Estonia

Goal

- Increase modeling speed and performance - Enhance robustness and safety of the ratemaking process

Results

Two entities deployed (Lithuania and Estonia)

What they say about Akur8

“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.”

Julius Kondratas, Technical Director and Management Board Member of Lietuvos Draudimas AB

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Logo Europ Assistance

Akur8 nous permet de boucler notre tarification en un ou deux jours. Il y a aussi une vraie flexibilité : s’il y a un petit changement dans la base de données, nous pouvons relancer immédiatement les études sans perdre de temps, en utilisant le modèle initial pour ajuster le nouveau modèle. Enfin, il y a la transparence : nous pouvons désormais partager les résultats avec les autres [membres de l'équipe], qui ont accès à l’ensemble du processus de tarification afin de challenger ce que nous avons fait. Donc c’est totalement transparent, rapide et flexible.

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Logo HDI Seguros

“Esta alianza con Akur8 es una prueba más de nuestro ADN tecnológico y digital. Apostar por tecnología de primer nivel para lograr una tarificación más rápida, precisa y totalmente transparente es un factor diferenciador, y en HDI Seguros estamos entusiasmados de liderar el camino.”

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Logo TMNAS (Tokyo Marine North America Services)

“Akur8’s insurance pricing solution will enable TMNAS to quickly build intuitive and easily explainable predictive models across all products, providing new insights for underwriters. As a shared services company, it is key for us to be able to translate predictive information into useful measures for our clients. Akur8 will help us fill a missing component to complete the framework for transparent, and data-driven decision-making.”

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