Kalepa, a provider of AI-powered underwriting solutions, and AmRisc, a major catastrophe-focused Managing General Agent (MGA) in the United States, have formed a strategic partnership to enhance underwriting operations through artificial intelligence. The collaboration aims to scale and optimize core underwriting processes.

The partnership was established following AmRisc’s rigorous, end-to-end evaluation of AI and automation vendors across the InsurTech landscape. AmRisc conducted a thorough assessment of performance, integration speed, accuracy, and long-term value, ultimately selecting Kalepa for its precision, ease of deployment, and demonstrated impact in real-world underwriting environments. The collaboration will focus on optimizing document and submission processing, allowing underwriters at AmRisc to make faster and more informed decisions within a high-volume, complex risk environment.

This integration is expected to significantly improve operational efficiency while maintaining underwriting quality and portfolio performance for AmRisc. Kalepa’s AI system is designed to integrate seamlessly with existing infrastructure, ensuring operational continuity while delivering immediate value and measurable impact, showcasing its capabilities in performance, transparency, and adaptability.

Paul Monasterio, CEO and Co-Founder of Kalepa, commented on the partnership: “AmRisc has always been a leader in data-driven property underwriting. Their forward-thinking approach to property risk aligns perfectly with our mission to bring innovation and precision to underwriting. We’re proud to support their team with AI technology that delivers both speed and accuracy at scale.”

Laura Beckmann, President of AmRisc, noted the strategic importance of the collaboration: “We were looking for more than just another AI vendor. We needed an organization that understood the nuances of our workflows and the importance of precision at scale.” Mark Hall, AmRisc Software Engineering Group Lead, added, “We tested numerous solutions and selected Kalepa. Their team moved quickly and delivered a proof of concept with accuracy in the mid-to-high 90s across a wide range of complex submission and document types, well above internal benchmarks.”