What it sells
Outbound AI voice agents for the financial services industry
Business model breakdown
Buyer: who owns the budget?
UnverifiedCredit unions, banks and insurers: collections, member experience and marketing leaders (site: 'AI Built for Credit Unions, Banks and Insurance Providers').
Trigger: what makes them buy now?
Late payments and early-stage delinquency, deposit growth and loan funding targets that need more member outreach without added headcount.
Workflow: what inputs become what output?
Outbound voice agents work a call list (TCPA-compliant, verify the member, log promises to pay), inbound voice resolves requests and writes back to the core, branded RCS texts with one-tap actions, warm handoff to staff with full context.
Economics: what it saves and how it charges
Claims 84% lower cost per call, 42% member contact rate, 86% more late members brought current early, 7M+ calls made.
Distribution: how it reaches customers
Demo-led ('Book a meeting'), integrations with credit-union cores and CRMs, case studies; Y Combinator backed.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2022 | — | 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.