What it sells
AI agents for the consumer lending industry
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of collections, servicing or operations at lenders.
Trigger: what makes them buy now?
Manual QA reviews only 1-3% of calls; long hold times; stalled loan applications and dormant accounts.
Workflow: what inputs become what output?
Voice, SMS, email and chat AI agents handle applications, welcome calls, servicing, early and late-stage collections with shared context; automated QA scores 100% of calls.
Economics: what it saves and how it charges
Claimed: 1 in 5 collections calls handled by agent Linda end in payment; 71% containment.
Distribution: how it reaches customers
Demo-led (speak to an AI agent, get in touch); vertical focus on lending.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.