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Thursday, October 23, 2025
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Ohio Mutual Selects Akur8’s Risk and Rate Modeling Solution to Expand Its Pricing Capabilities Across Personal and Commercial Lines of Business

Akur8, the next generation insurance pricing solution powered by transparent machine learning, is excited to announce its partnership with Ohio Mutual Insurance Group, a company that is independently recognized as one of the top insurers in the
United States. Ohio Mutual has selected Akur8’s Risk and Rate modeling solution to enable streamlined predictive modeling, improve rate reviews, and foster a more datadriven approach to sharing actionable insights with internal stakeholders. This agreement marks an expansion of Akur8’s presence in the U.S. personal and commercial insurance marketplace.

Developed explicitly for insurers, Akur8’s solution enhances pricing processes by using proprietary machine-learning technology. The core benefits for the P&C insurance marketplace include accelerated model building, transparent GLM outputs, and datadriven underwriting.

“Akur8 is thrilled to partner with Ohio Mutual and to empower their pricing team with our cutting-edge Risk and Rate modeling solution. Joining forces with a well-established mutual insurance company in the world’s largest insurance market is another key milestone in our development trajectory. This collaboration underscores the desirability of Akur8’s solution for a wide variety of stakeholders in the insurance market,” stated Samuel Falmagne, CEO at Akur8.

“Our strategic partnership with Ohio Mutual is a further demonstration of the robustness and attractiveness of Akur8’s solution for mutual insurance companies in the U.S. market, and we are excited to build upon this partnership as we continue to expand within the U.S., ” noted Brune de Linares, Chief Client Officer at Akur8.

Susan Kent, VP & Chief Analytics Officer at Ohio Mutual, shared insights into the company’s selection of Akur8, stating, “We anticipate that Akur8 will significantly enhance our rate review process, helping to shift it to a more holistic, data-driven approach. The user friendly and intuitive interface also is expected to facilitate quick learning among our users.”

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