What it sells
The AI Operator for Financial Services
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of customer operations/support at financial institutions.
Trigger: what makes them buy now?
Peak-time support strain and chatbots that resolve only 20-30% of cases.
Workflow: what inputs become what output?
Agent observes SOPs and team actions, then autonomously updates CRMs, processes refunds/returns and triggers workflows with evals and self-healing.
Economics: what it saves and how it charges
Claims up to 96% autonomous resolutions and up to 36% uplift in inbound conversions (Closer).
Distribution: how it reaches customers
Demo-led ('Request a demo'); no engineering needed.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2025 | — | 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.