What it sells
Automating consumer debt collection with AI
Business model breakdown
Buyer: who owns the budget?
Collections operations leaders at debt collection agencies and creditors (100+ collection teams).
Trigger: what makes them buy now?
Need higher recovery rates and lower cost while keeping FDCPA/TCPA compliance.
Workflow: what inputs become what output?
AI voice agents handle inbound/outbound calls and payment negotiation; omnichannel text/email with propensity-to-pay scoring; back-office automation for disputes, complaints, mail, legal collections.
Economics: what it saves and how it charges
Software/agents priced to cut collection costs; claims average ROI multiple and up to a stated % lower cost (animated counters, values not readable in static page).
Distribution: how it reaches customers
Demo-led ('Book a demo'); integrations with existing collection systems.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 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.