What it sells
AI-native back-office for banks and fintechs
Business model breakdown
Buyer: who owns the budget?
Compliance, operations and fraud leaders at banks and fintechs.
Trigger: what makes them buy now?
Scaling manual back-office queues (KYB review, watchlist reviews, onboarding) with analyst headcount.
Workflow: what inputs become what output?
Import a manual procedure (doc or video), convert it to an AI-run workflow, test dozens of cases, trigger via API/Slack/Jira/schedule, review audit trails.
Economics: what it saves and how it charges
Automation platform with outcomes: onboarding review from 3 days to under 2 minutes, $350k+ first-year savings, back-office queue down 83%, 8x productivity.
Distribution: how it reaches customers
Demo-led (30-minute live automation demo), customers SyntheticFi, Layer3.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2026 | — | 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.