What it sells
AI for critical banking operations
Business model breakdown
Buyer: who owns the budget?
UnverifiedCompliance, financial-crime and lending operations leaders at banks and regulated institutions.
Trigger: what makes them buy now?
Screening alerts are mostly false positives and manual investigations are slow and costly.
Workflow: what inputs become what output?
AI agents investigate sanctions, PEP and adverse-media alerts end to end (up to 91% auto-resolved), escalate real risk with evidence and rationale; further agents for investigations, onboarding, enhanced due diligence and lending, with audit trail.
Economics: what it saves and how it charges
UnverifiedEnterprise contracts; claims outcomes faster and more accurate at a fraction of the cost. Pricing not shown.
Distribution: how it reaches customers
Demo-led ("Book a demo") to regulated institutions.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.