JLJoe Lanzone
Joe created and led the AI Insights team on Microsoft Clarity, building the clustering and pattern-matching systems that turn 100,000 session recordings a day into the ten worth watching, and shipping the end-user analytics screens Clarity runs today. Before that: search, shopping, and commerce product work across the Microsoft ecosystem.
He spent several years of his childhood blind. At Yale he built an OCR-and-speech reading app for visually-impaired students, which sighted students promptly adopted too. That observation became Monty-UX's founding conviction: interfaces built for those who need them are simply better interfaces.
GSGeorge Saussy
George's work spans applied mathematics, physics, and statistics, with engineering tours at Google, Apple, and Citadel before consulting across the financial sector, where he built domain-specific languages to solve problems general code couldn't.
That DSL instinct became Monty-UX's central idea: compress a site once into a typed context grammar, and every machine-generated experiment becomes checkable and effectively free. George authored the Monty-UX whitepaper formalizing the system and its guarantees.
Join us while we're small
Early partners work directly with the two people who built the engine: weekly sessions, a direct line, and a real say in what we build next.