What it sells
AI agents for insurance claims
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead of Claims or claims operations leaders at insurers, MGAs and TPAs.
Trigger: what makes them buy now?
High claims handling cost (LAE), leakage and slow cycle times from manual, multi-tool processes.
Workflow: what inputs become what output?
AI workers take over claims intake/FNOL, document extraction, coverage checks, assignment, status updates, letters, subrogation, reserve and pay, and case summaries, working alongside handlers.
Economics: what it saves and how it charges
Sold as AI workers per line of business; claims ROI of ~20% LAE reduction, ~20% shorter claim cycle time, 1-3 pts loss ratio gain.
Distribution: how it reaches customers
Demo-led enterprise sales (Book a demo / Get in touch).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2024 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.