Kalepa, a company specialising in AI-powered underwriting solutions, has entered into a partnership with AmRisc, a catastrophe-focused Managing General Agent (MGA) in the US, to scale AmRisc’s underwriting operations.

The assessment focused on performance, integration speed, accuracy, and long-term value. After completing this review, AmRisc chose Kalepa for its proven precision, ease of implementation, and measurable results in active underwriting environments.
Through this partnership, Kalepa and AmRisc will streamline document and submission workflows, helping underwriters process information more efficiently and make faster, data-driven decisions in AmRisc’s business environment.
Kalepa’s platform automates key parts of the underwriting process, minimises manual effort, and delivers insights that lead to more consistent decision-making and improved portfolio outcomes.
Developed through years of focused work in insurance AI, Kalepa’s technology is built for reliability, transparency, and adaptability. It integrates seamlessly with existing systems, allowing AmRisc to sustain operational consistency while gaining immediate performance improvements.
“We were looking for more than just another AI vendor,” said Laura Beckmann, President of AmRisc. “We needed an organisation that understood the nuances of our workflows and the importance of precision at scale.”
“We tested numerous solutions and selected Kalepa,” commented Mark Hall, Software Engineering Group Lead for AmRisc. “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.”
“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” added Paul Monasterio, CEO and Co-Founder at Kalepa. “We’re proud to support their team with AI technology that delivers both speed and accuracy at scale.”

