What it sells
AI Workforce for the Insurance Industry
Business model breakdown
Buyer: who owns the budget?
Insurance carriers, MGAs, brokers and reinsurers: underwriting, claims, operations and CUO leaders (personas listed on nav).
Trigger: what makes them buy now?
UnverifiedUnderwriters swamped by unstructured submissions, SOVs and policy documents; need more capacity without headcount.
Workflow: what inputs become what output?
AI workspace extracts data from submissions and policy documents, compares policies side by side, routes through human-in-the-loop workflows, and connects to insurance systems via connectors.
Economics: what it saves and how it charges
Claims ~2x underwriter capacity, ~10x faster proposals, ~95% accuracy on policy comparison, ~20% faster compliance audits in year one.
Distribution: how it reaches customers
Demo-led enterprise sales ("Book a demo"); listed in Microsoft Marketplace; customers include a leading MGA with over $1.5B premium.
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.