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Behavioral intelligence infrastructure for anti-fraud
Incandor detects fraud on banking and fintech platforms by learning how every user physically behaves — mouse dynamics, keystroke timing, scroll patterns, and on mobile, how they hold their phone. Founded by two Stanford engineers and backed by Y Combinator, Incandor builds a behavioral map of every user on your platform — no fraud labels or historical data required. At the individual level, it identifies account takeovers with >99% accuracy. At the population level, coordinated rings, mule operators, and coerced sessions separate out naturally. Rather than a black-box risk score, fraud teams query the map via a programmable API.
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.
Founder at Incandor. Previously at Vista Equity Partners, Stanford Management Company, and Cboe Global Markets. Previously featured in People Magazine, Yahoo News, CNN, and The Huffington Post. Stanford CS '25.
Real-time visibility into who's actually operating every account on your platform
Incandor analyzes device behavior like taps and clicks to create persistent behavioral profiles of account operators. The platform identifies when operators change accounts, detect multiple account operation by single actors, and reconcile fraud rings across a platform.
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Infrastructure for identity and fraud.
AI-powered fraud investigations
