About Claimloom
We're from Hartford. We understand what's at stake.
Founded in 2023 by a team with direct experience in carrier claims technology and TPA operations. Bootstrapped. Built in the city where the American insurance industry runs its back-office.
Why we built this
In 2022, Rachel was working in claims technology at a regional carrier — maintaining the document validation logic that sat between the intake portal and the adjuster queue. The logic existed as a patchwork of manual checklists, email reminders, and tribal knowledge held by senior adjusters. When claim volume spiked, intake quality fell. Re-request rates climbed. Adjuster cycle times stretched.
The fix seemed obvious: systematize the first-pass check logic that adjusters already carried in their heads, and run it before the packet entered the queue. When we looked at what that would take, we found that every carrier and TPA either had no automated check at all, or had built something bespoke and unmaintainable in-house.
Claimloom is what that fix looks like as a product — not a consulting project, not a custom build. A check engine that plugs into your existing intake workflow, runs the 40+ rules that experienced adjusters already know to look for, and delivers a structured flag summary before any human opens the file. We do not replace adjuster judgment. We clear the path so it can start.
The team
Built in Hartford — the insurance capital of the US.
Hartford isn't a coincidence. The city's insurance industry traces back to the early 1800s, and the claims infrastructure that runs today's P&C and health lines — the adjusters, TPAs, specialized legal teams, data vendors, and regulatory offices — is concentrated here in a way that doesn't exist anywhere else in the US.
Building Claimloom here means we can walk into a claims department, sit with an adjuster, and understand what a morning of intake work actually looks like. We're not building from a requirements document. We're building from operational observation.
When we say the check logic reflects what adjusters actually need — this is where that knowledge comes from.