Coverage Analysis Shouldn't Be a Guessing Game

If you've spent 2-3 hours reading through a policy only to wonder if you missed an endorsement buried on page 147, you're not bad at your job. You're working against a system that was never designed for the pace catastrophe adjusters face today.

We built CoverageLens because adjusters keep telling us the same thing: coverage analysis is the biggest bottleneck in their workflow. They need to document coverage positions for the file, the insured, and the carrier — often from the same policy — and they're doing it manually while managing 40% more claims than they were two years ago.

CoverageLens uses AI trained on insurance policy language to surface coverage provisions, endorsements, and exclusions with direct citations. It's not making coverage decisions for you. It's giving you a structured starting point so you spend your time on judgment calls, not document archaeology.

We're a small team of insurance operations veterans and ML engineers. We know what it feels like to be on the hook for a coverage position you made under pressure. That's why we built citation-first extraction, not AI that pretends to be an expert.