Increased pressure on insurance industry is driving the need for increased pricing sophistication

In this context actuarial organisations are under pressure to accelerate pricing time to market, secure models performance and consistency and embed additional source of data to improve accuracy through new variables - but always keeping transparency and interpretability of the models.

Disruptive Technology

Akur8 is the only technology bringing Explainable AI into the actuarial world

Akur8’s technological edge allows insurance carriers to improve their profits with models created and updated in hours instead of months. The disruptive technology developed by our R&D team allows to combine machine learning and actuarial worlds. Akur8 developed cutting edge algorithms - the Akur8 Engine™ - to revolutionize insurance pricing.  

GLM (Generalized Linear Models, also known as Additive Models) is a well-established technique that answers all risk modeling constraints: it is easy to understand and enables a clear validation process. But the creation of GLMs is manual. Iterations and discoveries are long and slow, involving a large number of actuarial resources.

Using cutting edge machine learning, Akur8 has automated GLM modeling. From variable selection to geographic smoothing, you decide the tradeoff between clarity and performance. You can immediately spot anomalies and discover new patterns. With Akur8, you can improve your models Gini and your new business Loss-Ratio.

Our solution

The Augmented Actuary

The Akur8 AI pricing solution embeds all steps of the pricing process in one integrated and collaborative solution - from data set preparation to commercial pricing optimisation and execution -  leveraging the Akur8 Engine™.


Your Data is your Data

Secured Environment

Each client has an isolated instance of the product (database, URL, settings).

Advanced Security Test

Platform has best in class security features and technology.

GDPR Compliant

Hosted in EU for EU clients. Akur8 doesn’t have access to your data.

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