Behavioral intelligence infrastructure for anti-fraud
Banking and fintech platforms struggle to reliably detect and stop fraud like account takeovers and coordinated fraud rings without depending on labeled historical data or opaque risk scores.
Incandor provides behavioral intelligence infrastructure that learns users’ physical interaction patterns (mouse, keyboard, scroll, mobile handling) to map identity and detect fraud via a programmable API.
Fraud and security teams at banks and fintech platforms use it to detect account takeovers, mule activity, and coordinated fraud.
Founder at Incandor. Previously at Vista Equity Partners, Stanford Management Company, and Cboe Global Markets. Featured in People Magazine, Yahoo News, CNN, and The Huffington Post. Stanford CS '25.
Founder at Incandor. Previously founding engineer at a robotics startup and systems researcher at Stanford under Prof. Kayvon Fatahalian, focusing on GPUs, robotics, and simulation. Interned on graphics and systems at NVIDIA (Vulkan drivers), Epic Games (rendering), and Apple (Metal). Stanford CS '25.





