Sequoia Capital has backed Probook through seed and Series A. The company, founded by George Eliadis, Lewis Zhang, and Ben Cervantez, is an AI operating system built for home services trades: plumbing, HVAC, electrical, and similar businesses. Its core product automates dispatch, the function every other operation depends on. When a customer calls, Probook's AI answers immediately, cross-references each technician's experience, availability, proximity, close rates, and ticket size, assigns the job, alerts the tech, and sends the customer an ETA. No human dispatcher required.
The origin is specific and worth knowing. George's father, a New York City police officer injured on duty, took up power washing to stay active. George worked those jobs through high school and Penn's M&T program. He later embedded at TR Miller, a home services company in Illinois that became Probook's first customer, and confirmed the problem scaled beyond one man with a pressure washer. Fragmented software stacks, disconnected tools, and administrative overhead were cutting margins and burning out workers across millions of trade businesses. Lewis Zhang earned electrical engineering and computer science degrees from Berkeley in two years and worked on player-server matching at Roblox. Ben Cervantez was valedictorian, interned at McKinsey, and dropped out of Penn to join the company.
The full piece details how Probook shares context across the entire customer lifecycle, from intake through dispatch and follow-up, and why dispatch specifically is the architectural choice that makes unified context possible. It also documents customer outcomes the company links directly from its site. The question worth reading for: how does an AI system trained on technician-level performance data change pricing power and margin structure for small trade operators, and how fast is Probook's team scaling to find out.
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