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BeeSafe AI

BeeSafe AI is a YC Winter 2026 (W26) company. Team of 3.

About BeeSafe AI

GPAgent's own fund-neutral profile, written from public information. Updated Oct 4, 2026.

Summary

BeeSafe AI builds an anti-fraud platform that deploys AI agents to intercept scammers directly, before real victims are reached. The agents pose as targets across SMS, voice, email, and social channels, extract the mule accounts and payment infrastructure fraudsters rely on, and produce cross-channel intelligence on active scam campaigns. Banks and financial institutions use that intelligence to catch authorized-push-payment fraud and money laundering that conventional detection systems miss because the transactions are victim-authorized.

Go-to-market

BeeSafe AI sells to banks and financial institutions, starting with financial crime teams that already pay for fraud intelligence. Access is currently gated through an early-platform request, indicating a sales-assisted onboarding process.

From the Y Combinator listing

How BeeSafe AI describes itself in Y Combinator's public directory.

Frontier AI Defenses for Social Engineering Attacks

BeeSafe AI is building the frontier model layer for social engineering defense. Cyberattacks have moved from code to conversation: attackers now use AI to carry out long-term, trust-based manipulation across SMS, voice, email, and social platforms, often inside encrypted channels where defenders cannot see, detect, or stop them. BeeSafe changes that by deploying undercover AI agents that engage attackers directly, expose hidden infrastructure, and convert live adversarial conversations into actionable intelligence. Each engagement adds to BeeSafe's proprietary dataset of real attacker behavior and trains foundational models that continually learn about counter-persuasion, deception, and manipulation in the wild. BeeSafe is starting in financial crime, where banks already value our data against Authorized Push Payment (APP) fraud and money laundering, but the opportunity is far broader. The same data and models that uncover mule networks today can protect consumers, secure enterprises, and strengthen governments against the next generation of AI-powered social engineering attacks tomorrow.

Facts

Industry
B2B / B2B -> Security
Team size
3
Status
Active
Stage
Early

Founders (3)

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