New York City, New York Jul 12, 2026 (Issuewire.com) - Gennaro Brooks-Church, an entrepreneur focused on building practical AI solutions for the insurance industry, has announced the launch of Cazimir, a new platform designed to modernize how insurance organizations handle underwriting and submission intake. The company aims to help MGAs, wholesale brokers, and carriers process insurance submissions faster and more accurately, while preserving the institutional knowledge that experienced underwriters bring to the industry.
Cazimir is built to address a growing challenge in the insurance sector: the loss of underwriting expertise as experienced professionals retire. According to information shared by the company, nearly half of the insurance workforce is expected to retire within the next fifteen years, taking decades of underwriting judgment and institutional knowledge with them. At the same time, underwriting teams continue to face increasing workloads, including repetitive document reviews, manual data entry, and recurring extraction errors.
“Insurance teams are being asked to do more with fewer experienced people,” said Gennaro Brooks-Church, Founder and CEO of Cazimir. “Our goal with Cazimir is to build technology that captures the knowledge these professionals have built over decades, so that expertise isn’t lost when they leave the workforce.”
Cazimir functions as a learning insurance operations platform. Rather than applying static automation rules, the system is designed to improve with use. Every submission processed by the platform, including corrections and validations made by underwriting teams, helps train the system to perform more accurately on future submissions. The company states that this approach allows submission processing to become faster and more precise over time, rather than remaining fixed at a single level of performance.
The platform is designed to handle a wide range of insurance documents, including ACORD forms, Statements of Values (SOVs), and loss runs, regardless of format or broker-specific formatting differences. Cazimir classifies incoming documents, extracts relevant underwriting data, and flags any gaps or inconsistencies. Every extracted data point is linked directly back to its source document and page, allowing underwriters to verify information without relying on hidden assumptions or unclear data sources.
Transparency is a central part of Cazimir’s design. The company has emphasized that its platform avoids “black box” decision-making, giving underwriters and compliance teams a clear audit trail for every data point the system generates. This is intended to support both day-to-day underwriting decisions and regulatory reporting requirements.
Cazimir is built specifically for MGAs, wholesale brokers, and insurance carriers, including teams operating in complex markets such as Lloyd’s and the London Market. The platform is designed to help MGAs scale their gross written premium without significantly increasing headcount, while helping brokers deliver more complete submissions to carriers and reduce back-and-forth communication during the underwriting process.
Unlike many enterprise AI vendors that require lengthy implementation timelines and significant IT investment, Cazimir is designed for quicker deployment. The company states that its onboarding process can configure the platform to a client’s specific brokers, formats, and internal schema within days rather than months. Cazimir currently offers founder-led onboarding sessions, working directly with a limited number of new teams each quarter to ensure a hands-on setup process.
“We built Cazimir because most AI tools in this space extract data, but they don’t build knowledge,” Brooks-Church added. “We wanted to create something that becomes more valuable to an organization the longer it’s used, not something that stays static or degrades over time.”
The launch of Cazimir reflects Gennaro Brooks-Church’s broader focus on developing AI solutions that are practical, transparent, and built around real-world business needs. Rather than positioning AI as a replacement for underwriters, Cazimir is designed to support their work by reducing time spent on repetitive tasks and helping preserve institutional knowledge within the organization itself.
Insurance organizations interested in learning more about Cazimir can request a working session to see their own submission documents processed live on the platform. More information about Cazimir, including details on its submission intake software, SOV data extraction, and ACORD form automation solutions, is available on the company’s website.
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