Akur8 teams up with Helvetia Italy to “take pricing to the next level”


Akur8, the next generation insurance pricing solution powered by transparent machine learning, has partnered with Hevetia Italy to take pricing to the next level.

Developed for insurers, Akur8’s solution is designed to enhance the pricing process by automating risk modelling using proprietary transparent machine learning technology.

Core benefits for insurers, according to Akur8, include increased efficiency and speed-to-insights for faster data discovery and evaluation and advanced predicting modelling capabilities with even small, noisy datasets paving the way towards data-driven underwriting.

Helvetia Italy is the Italian branch of its Swiss parent company, Helvetia Group. Besides taking care of Italian policyholders for over 75 years, Helvetia Italy is renowned as a reliable insurer and excellent employer.

Helvetia Group distributes its Life and Non-Life products to more than 700,000 Italian customers to satisfy their safety, protection and investment needs, through a network of over 500 Agencies, almost 300 Brokers, Affinity Groups and 25 banking institutes.

By deploying Akur8’s RISK module, Helvetia Italy refines its product pricing and accelerates its time-to-market with fast modelling.

Samuel Falmagne, CEO at Akur8, “I am very pleased with this alliance with Helvetia Italy. When such an established, trusted player chooses our solution, it means a lot to us. We are proud of adding pricing sophistication to Helvetia Italy’s proven record of excellence.”

Brune de Linares, chief client officer at Akur8, “It is a delight to work with Helvetia Italy’s pricing team, and I am thrilled with our expansion within Italy. Our goal at Akur8 is to empower actuaries and pricing experts worldwide with efficient and transparent pricing. I look forward to supporting Helvetia Italy’s pricing team in their journey towards pricing sophistication.”

Earlier this year, Akur8 was selected by household protection insurance provider SANTALUCÍA’ to improve its pricing process.

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