What it sells
Frontier AI Defenses for Social Engineering Attacks
Business model breakdown
Buyer: who owns the budget?
UnverifiedFraud/risk leaders at banks, fintechs, telcos and agencies.
Trigger: what makes them buy now?
Authorized-push-payment and trust-based scams ($12B+ problem) bypass traditional fraud detection.
Workflow: what inputs become what output?
Anti-scam agents engage scammers, uncover mule accounts and infrastructure, and feed real-time cross-sector intelligence to customers.
Economics: what it saves and how it charges
UnverifiedIntelligence/platform subscription (pricing not stated); aims to cut APP fraud reimbursements and investigations.
Distribution: how it reaches customers
Early-access request, direct sales.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 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.