What it sells
AI-native actuary enabling self-insurance for corporations
Business model breakdown
Buyer: who owns the budget?
Corporate risk managers and captive managers/owners who want to run self-insurance like an insurer.
Trigger: what makes them buy now?
UnverifiedInsurance submissions leave coverage gaps and over-insurance; large buyers already retain over 90% of risk and a company weighing a captive needs a board-ready case, or needs annual reserves and an actuarial opinion.
Workflow: what inputs become what output?
Feasibility study for a captive (5-year pro forma, loss projections, premium indications, capital adequacy by domicile); pricing of thin-data perils and bespoke wordings; quarterly/year-end reserve estimation (case, IBNR, LAE) with an annual Statement of Actuarial Opinion.
Economics: what it saves and how it charges
UnverifiedAdvisory/actuarial service work billed per engagement (feasibility study, reserving, opinion); free desirability study is the lead-in. No fee amounts published.
Distribution: how it reaches customers
Free self-serve captive desirability study (no account) feeds into a "Let's talk" contact flow; agent-runnable prompt for Claude Code/Codex/ChatGPT.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 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.