What it sells
AI Claims Investigator for Insurance
Business model breakdown
Buyer: who owns the budget?
Claims leaders at P&C carriers, TPAs and MGAs.
Trigger: what makes them buy now?
Backlog of flagged claims (only ~25% fully investigated by hand, 14+ days each); new MGAs/TPAs launching programs need claims ops before first policy.
Workflow: what inputs become what output?
AI agents run FNOL intake, document review, coverage check, fraud screen, liability, resolution and subrogation/recovery; clean claims resolve straight through, suspicious ones get a full investigation, humans sign every decision.
Economics: what it saves and how it charges
Platform fees per claim volume; claims 800+ cases per investigator per month versus ~10 by hand.
Distribution: how it reaches customers
Demo-led plus the "Hesper Launch" offer for new MGAs/TPAs; founder-led onboarding, live in two weeks; integrations and comparison content.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2026 | — | 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.