Mulberri, an AI-driven insurance technology firm, has introduced its AI-powered Risk Engine, aimed at transforming the landscape of workers’ compensation underwriting. This innovative tool leverages machine learning to equip underwriters with immediate, essential data, supporting swift and precise risk assessment. By predicting claim propensity, frequency, severity, and loss ratio, the Risk Engine promises to sharpen the decision-making process and enhance profitability in the multi-billion-dollar workers’ compensation sector.
Addressing challenges such as high application volumes and competitive pressures, Mulberri’s Risk Engine positions itself as a vital asset for underwriters striving for efficiency and loss minimization. It stands out by offering seamless integration into existing SaaS platforms, allowing for individual or bulk analysis of prospects while prioritizing data privacy. With this release, Mulberri extends its range of insurance solutions, solidifying its commitment to technological innovation in the insurance industry.
The CEO of Mulberri, Hamesh Chawla, emphasizes the company’s dedication to enhancing the insurance process through technology, citing the Risk Engine as a pivotal step towards simplifying business insurance operations. The cloud-based engine is the result of extensive training on various data points, from firmographics to past loss experiences, aiming to support the nuanced needs of today’s underwriters and their clients.