What it sells
AI agents for regulated industries.
Business model breakdown
Buyer: who owns the budget?
Heads of operations, claims, underwriting or customer service; pricing form lists CEO, COO, CIO/CTO, VP CS, Head of AI.
Trigger: what makes them buy now?
Operational bottleneck and manual back-office work (reconciliation, FNOL intake, submission intake) without adding headcount.
Workflow: what inputs become what output?
Finds use cases, builds agents for intake, servicing and renewals, tests with simulations, deploys in gated steps with audit and an LLM judge guardrail.
Economics: what it saves and how it charges
Pay-on-resolution variable pricing for support agents; case study claims +150% efficiency and 40x faster processing.
Distribution: how it reaches customers
Demo-led enterprise sales, conferences (ITC Vegas 2026).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-03-25 | — | $30M | — | news.google.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.