What it sells
AI agents that run insurance operations
Business model breakdown
Buyer: who owns the budget?
UnverifiedClaims, operations and CX leaders at insurance carriers, TPAs and MGAs.
Trigger: what makes them buy now?
High call/email volume for FNOL, servicing, billing and claim status; legacy systems without APIs.
Workflow: what inputs become what output?
AI agents take FNOL, answer policyholder servicing, billing and claim status over voice, chat, email and SMS, and write outcomes into policy/claims systems (browser automation for portals without APIs); escalates when judgment is needed.
Economics: what it saves and how it charges
Enterprise automation sold on deflection and speed; site cites 80% (carriers), 70% (TPAs) and 98% (MGAs) figures and a case study of 5.7x ROI on voice agents in 60 days.
Distribution: how it reaches customers
Demo-led enterprise sales with named customers (Clearcover, Tint, First Connect, Foxquilt).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2023 | — | 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.