BeeSafe AI
Winter 2026Stopping Scams Before They Reach Your Customers
About Company
BeeSafe AI is a fraud-prevention platform for enterprises that helps them protect their customers against trust-based attacks like "pig butchering" and impersonation. By engaging fraudsters at the source in real-time, the AI system identifies and shuts down channels by extracting deterministic data on mule accounts and attacker infrastructure. Our intel has already enabled financial services and government agencies to intercept scammers mid-transaction and prevent victim losses.
Active Founders
Cofounder at BeeSafe AI. I have over ten years of experience as a security research and measurement scientist, using large scale data to make better security decisions. I've worked in various organizations, such as Censys, Google Chrome, and UCSD, all of which have provided unique perspectives into security at scale to protect the end user. My goal is to make the Internet a safer place for everyone, regardless of background or technical expertise.
I am a machine learning and security researcher with 10+ years in ML and NLP. I earned my PhD at CMU with research on novel transformer architectures, better training objectives, and evaluation benchmarks for reasoning.
CS PhD from UCSD and ex-CMU LTI. My objective is to reduce human-driven cyber risk after hearing so many stories from peers about how they’ve gotten scammed. I have worked in machine translation, optical character recognition, and document attribution, which was actually interrupted by a real-world ransomware attack.