Alix is integrated within the Earnix platform, enabling users to streamline complex decision-making processes, automate workflows, and optimize pricing and underwriting strategies. The AI-driven assistant provides best-practice guidance on building Generalized Linear Models (GLMs), outlines deployment roles and responsibilities, and even generates Python code to automate data imports, run what-if scenarios, and develop predictive models.

By leveraging Alix, teams can shift their focus from manual tasks to strategic decision-making, fostering greater innovation and efficiency in their operations. The launch underscores Earnix’s commitment to integrating cutting-edge AI solutions that drive smarter, faster, and more precise decision-making across financial services industries.

“Earnix has always been at the forefront of enabling the insurance and banking/lending industries to leverage AI in predictive modeling, and we are thrilled to now be expanding into providing GenAI to enhance underwriting, pricing, and rating processes,” said Be’eri Mart, Chief Product Officer at Earnix. “The addition of GenAI to the Earnix platform signifies a pivotal advancement, enabling insurance and lending professionals to boost productivity and exceed KPI goals by responding rapidly to market dynamics. At Earnix, we champion human-centric AI that enhances employee capabilities, ensuring technology acts as a complement to, rather than a replacement for, human insight.”

“The industry continues to grapple with a changing macroeconomic landscape, as well as improving overall productivity,” said Meredith Barnes-Cook, Partner, Resource Pro. “Insurers and MGAs need generative AI tools like Earnix Copilot to provide both automated process support and decision support, to onboard the next generation of employees faster, and transform the speed and precision with which products are developed, prices are updated, and underwriting appetite is modified.”