How did 2025 shape Akur8’s product strategy, and how are you ensuring the platform remains coherent, explainable, and end-to-end as it expands?

In 2025, our product strategy came into sharper focus. With the launches of Rate Repo and Deploy, the Matrisk AI acquisition, and continued progress on ReservingOne, we moved from delivering best-in-class point solutions to building two complete platforms: Akur8 Pricing and Akur8 Reserving. Within each platform, the goal is an end-to-end workflow where every module strengthens the next, so customers get a connected experience.

To keep the platform coherent as it expands, we’ve been intentional about a few principles. First, each platform is built to support an end-to-end flow of data and computations within its own domain, from inputs to outputs, with transparency and traceability at every step, while also leveraging interoperability between products to deliver a unified actuarial platform. Second, we create consistency across Pricing and Reserving through shared UX and UI standards, common design patterns, and product principles centered on transparency, automation, and robustness. This makes it easy for teams to move between platforms, even when the underlying data structures and workflows are necessarily different. Third, we’re protecting what makes Akur8 distinctive: explainability and transparency are requirements across the platform, along with traceability so teams can always understand what was done, why, and by whom.

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What major innovations across Pricing and Reserving had the biggest impact this year?

This year’s most significant innovations were those that advanced Akur8’s global, end-to-end actuarial AI platform across both Pricing and Reserving. On the pricing side, the launch of Rate Repo was a major step forward, helping insurers better manage and govern their rate assets. Building on that progress, Deploy, introduced in 2024, continues to extend the platform from analysis into live execution, enabling teams to move from building explainable models to implementing pricing decisions with greater speed and confidence. 

On the reserving side, 2025 focused on laying the groundwork for our next-generation solution. That effort has led to Akur8 ReservingOne, planned for launch in the second half of 2026, combining Akur8’s innovation approach with Arius’ deep reserving expertise. Built as a fully cloud-native, end-to-end reserving workflow, it is designed to increase efficiency and deliver impactful insights across the reserving process. 

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What opportunities do you see ahead for Akur8’s product ecosystem, and how are Pricing and Reserving evolving to meet customers’ future needs?

A key opportunity ahead is continuing to deliver a truly end-to-end experience across the actuarial lifecycle. As insurers face faster cycles and greater complexity, the differentiator will be helping teams move from data to decisions to action with confidence, while always being able to explain what was done, why it was done, and how results were produced.

Looking ahead, we’ll keep investing in the foundations that make this possible: common standards, a consistent experience across modules, and smoother handoffs that support collaboration across roles and regions. A steady cadence of product updates will ensure customers continuously benefit from new capabilities and refinements. And just as importantly, the human side of the experience will keep scaling as well, with responsive live support available across time zones and in multiple languages, so customers can rely on Akur8 whenever they need it.

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How are you embedding automation, machine learning, and agentic AI into Akur8’s products to help customers operate faster while staying in control?

For customers, the focus is on using machine learning to make the actuarial workflow faster and more effective, without turning it into a black box. We’re investing in automation that helps with time-consuming tasks such as data preparation, surfacing relevant insights and suggestions, and accelerating iteration across the end-to-end process. As we explore agentic AI, the ambition is to reduce manual steps further by orchestrating routine tasks across the workflow, while keeping governance front and center.

What makes this work in insurance is trust, so the bar remains high for explainability and traceability. Customers need to understand what drove an output, validate it, and communicate it with confidence. Our goal is to deliver more speed and efficiency, while preserving transparency and full user control.

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Bruno Becha is Chief Product Officer at Akur8, helping clients accelerate and optimize pricing through Transparent AI. With over 10 years of experience as a Pricing Actuary and Data Scientist, he has worked across insurance carriers and AI software companies, bringing deep expertise in pricing models and advanced analytics to drive impactful results.

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