What it sells
AI coworkers for fraud and compliance teams.
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of fraud, BSA/AML and compliance at community banks, credit unions and fintechs.
Trigger: what makes them buy now?
UnverifiedRising manual alert and investigation volume (check, ACH, wire fraud, SARs) and exam readiness pressure.
Workflow: what inputs become what output?
AI agents gather evidence from core banking, device, check-image OCR, KYC and sanctions signals into one investigation workspace, identify threats, recommend action, and draft filing-ready SARs.
Economics: what it saves and how it charges
Case studies claim AtoB saved 100+ underwriting hours per month (about 400 requests at about 15 minutes each) and Super.com scaled account reviews 20x; pricing basis not stated.
Distribution: how it reaches customers
Demo-led sales ("Request a demo"); named customers include First Community Bank and Trust, Super.com and AtoB.
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.