George Eliadis is a co-founder and CEO of Probook [1], a platform that provides AI-powered dispatch services for home service businesses [1]. Based in the New York AI scene, Eliadis leads the company in its operations within the artificial intelligence and service industry sectors [1].
Founded
Insights & ideas
George Eliadis argues that dispatching in trades like HVAC, plumbing, and electrical work is fundamentally a data problem disguised as a logistics problem, describing it as "playing Tetris" where a single dispatcher must match technicians to jobs while fielding customer calls and technician check-ins, often without any real data backing their decisions [1]. He contends that when dispatchers are pulled in too many directions, one of three things suffers: cost-effective decision making, customer experience, or technician support, and that no human can optimize for all three simultaneously at scale [1]. His solution centers on using historical performance data, specifically repair sales and "tech-generated leads" (downstream sales a technician generates by recommending further service), to calculate an expected value for each technician-job match and continuously reoptimize the dispatch board in real time as new calls arrive [1]. On growth, he emphasizes that early-stage founders overweight product development when market fit matters more, and that scaling too fast can degrade customer experience, prompting him to intentionally pause ProBook's growth [1].
Education
The Wharton School · Bachelor of Science in Economics, Business Analytics2020 - 2024
Jerome Fisher M&T Program · Bachelor of Science in Engineering and Bachelor of Science in Economics, Systems Engineering and Business AnalyticsAug 2020 - May 2024
Media & appearances
- This 22-Year-Old Built the Trade's Fastest-Growing AI ... - YouTube
George Eliadis, founder and CEO of ProBook AI, discusses his AI dispatching platform that automates the process of matching technicians to service calls in trades like HVAC, plumbing, and electrical work. He explains how ProBook uses historical data and machine learning to optimize dispatcher decisions by calculating expected value based on technician performance history, repair sales, and tech-generated leads, while also managing real-time routing and customer communication.
- Tech in the trades with George Eliadis of ProbookReimagining Home Services · Jun 29, 2026
- CSTG 245: Turn Dispatch Chaos Into Cash with George from ProBookCan't Stop the Growth · Jan 6, 2026
- CSTG 245: Turn Dispatch Chaos Into Cash with George from ProBook
- Tech in the trades with George Eliadis of Probook - iHeart
- CSTG 245: Turn Dispatch Chaos Into Cash with George from ProBook - iHeart
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