The AI fraud hunter
Fraud teams miss organized fraud because traditional rules and scoring models fail to detect it early and across fragmented data sources.
An AI agent that analyzes structured and unstructured data across a company’s systems to proactively surface fraud, accelerate investigation, and strengthen defenses.
Fraud teams at companies that need to detect and respond to organized fraud (typically enterprise financial or digital businesses).
Ex security & product @ Robinhood. University of Toronto Computer Science.
Founder @ Finic (YC W23). Caltech class of 2020, former software engineer at Robinhood.


