What it sells
AI agents for compliance at institutional trading firms
Business model breakdown
Buyer: who owns the budget?
UnverifiedChief Compliance Officer or head of surveillance at the brokerage.
Trigger: what makes them buy now?
Alert volume and manual review burden; wants more coverage with less noise.
Workflow: what inputs become what output?
Reads eComms, chat, voice, surveillance alerts and research from existing archiving/surveillance systems (Global Relay, Bloomberg, NASDAQ SMARTS), AI agents do the first-pass investigation, with cited, timestamped checks (e.g. FINRA 2241) for trade reconstruction, eComms surveillance, horizon scanning and publication review.
Distribution: how it reaches customers
Demo-led: Book a Demo, then pilot on own data live in five days with no migration.
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.