We’re Building the System the Insurance Industry Should Have Had a Decade Ago.
The Problem We Saw
The insurance industry spends billions on technology every year. Core systems. Workflow tools. Digitization initiatives. Process improvements.
And yet the fundamental workflow of commercial insurance remains stubbornly manual. Submissions arrive in dozens of formats. Information is scattered across PDFs, spreadsheets, and emails. Teams spend hours extracting data that exists in one system and re-entering it into another.
Worse: none of that work compounds. The 10,000th submission your team processes takes the same effort as the 1st. Every correction disappears. Every pattern recognition stays locked in someone’s head. Every new hire starts from zero.
Meanwhile, the people who hold the deepest operational knowledge — the senior underwriters, the experienced operations managers, the team leads who’ve reviewed tens of thousands of submissions — are approaching retirement.
The industry is about to lose decades of institutional expertise. And it has no system to capture it.
What We’re Building
Cazimir is a Learning Insurance Operations Platform. It transforms submission packages into structured underwriting intelligence while continuously learning from the people who use it. Every correction trains the system. Every review teaches it something new. Every submission makes it more valuable to the organization.
The goal is not simply automation. The goal is building a system that becomes your organization’s permanent operational memory — compounding in value every day it’s used, and retaining institutional expertise regardless of staff turnover.
Why Now
Three forces are converging that make this the right moment:
The Talent Crisis: 400,000 insurance roles at risk of going unfilled. Half the workforce over 55. The knowledge walking out the door cannot be replaced by hiring alone.
AI Maturity: Large language models and multimodal AI have reached the accuracy threshold required for production-grade document intelligence in insurance. What wasn’t possible three years ago is now reliable enough to deploy.
The Automation Gap: First-generation tools (RPA, rules-based extraction) have proven brittle in insurance. They break on the variety and complexity of real-world submissions. The market is ready for systems that learn rather than systems that follow static rules.
The Founder
Gennaro Brooks-Church
Founder & CEO
Gennaro is a serial entrepreneur who has founded and scaled businesses across technology, sustainability, and artificial intelligence.
He founded Cazimir because he saw an industry spending billions on systems that never get smarter — while the people who hold the real knowledge are heading for the exit.
Cazimir is built to solve that problem: capture institutional intelligence, compound it with every submission, and make insurance operations permanently better.
Our Principles
Intelligence over automation. We don’t just extract data. We build knowledge that compounds.
Evidence first. Every output is traceable to its source. No black boxes. No hallucinated values.
Human-in-the-loop. The system augments your team’s judgment. It never silently invents or assumes.
Built for insurance. Not a generic AI tool adapted for insurance. Purpose-built for the complexity, variety, and regulatory requirements of commercial insurance operations.