Charlee.ai operates with a remarkable efficiency ratio. At $2.4M revenue with just 24 employees, they're generating approximately $100K per employee—a figure that would make most SaaS companies blush. This isn't a sprawling enterprise; it's a precision strike team focused exclusively on property & casualty insurance. Their '14/4' headline hints at a core methodology or metric that drives their entire platform, suggesting a proprietary approach to claims processing that sets them apart from generic AI solutions.

The numbers tell a compelling story: 36M+ data points processed against 30K+ claims analyzed. That's over 1,200 data points per claim—a level of granularity that suggests Charlee isn't just looking at structured fields, but is ingesting unstructured data, images, telematics, and behavioral signals. In the insurance world, this depth of analysis is what separates winners from also-rans. While competitors play with surface-level analytics, Charlee is building a data moat that becomes more valuable with every claim processed.