George Eliadis raised $40 million to build AI dispatch for plumbers and HVAC shops
Sequoia and a16z back Probook’s “AI operating system” after operators got crushed by too many AI vendors.

George Eliadis, founder of Probook, raised $40 million to build an AI operating system for home services, starting with dispatch. The bet is that simplifying scheduling will matter more than chatbots and voice tools for profitable contractors and consolidators.
George Eliadis just raised $40 million for Probook, and the money is going toward one unsexy but brutally important problem in home services: dispatch. The 24-year-old, who spent six summers pressure washing houses in upstate New York with his dad and now has a Wharton degree, is pitching an “AI operating system” built first for the part of the business where revenue and customer experience get decided. Dispatch is where an operator chooses which of 40 technicians goes to which of 150 jobs, in what order, and with what expected ticket size. Probook’s thesis is simple. Most AI tools home service operators adopted over the last few years did not speak the language of that decision.
Probook’s raise breaks down into a $34 million Series A led by Andreessen Horowitz, plus a $6 million seed led by Sequoia Capital. Sequoia also participated in the A, Fortune learned exclusively. The company is New York-based, and it is deploying AI across the workflow in one connected system, starting with scheduling and then layering in things like answering calls, cleaning up job data, and sending customer updates. Early results are meant to validate the dispatch-first bet, not just the concept. An Indiana customer with 14 locations and 260 technicians booked 2,542 jobs in its first month without a single human touching the booking. A Florida operator cut its dispatchers from 22 to 10. A Kansas shop did the same and grew its average job revenue by 20%.
To understand why this funding round lands with force, you have to look at the stack that home service operators have been living with. According to Eliadis, over the last few years operators were sold an explosion of AI tools, like voice agents, chat widgets, and follow-up bots. The promise was higher productivity and better customer responsiveness. The outcome, in his telling, was the opposite of operational clarity: operators ended up with five vendors and bills growing faster than the revenue those tools delivered. In that world, “AI” becomes procurement chaos. It also becomes data chaos, because each tool wants its own inputs, its own format, and its own system of record.
Probook is trying to solve that by going directly after dispatch, which it calls the brain of the business. The reasoning is straight lines, not vibes. Dispatch sits at the center of field execution, pricing outcomes, job sequencing, and the customer’s lived experience. If dispatch is wrong, every downstream AI feature can only paper over the damage. So Probook starts with scheduling decisions and then expands outward. The result is not just an assistant for customers. It is a connected system intended to coordinate the operational moves that turn calls and leads into completed work at the right time, with the right technician, and at the right expected ticket size.
The customers Probook is targeting also explain why the sales motion could be fast. Probook’s “sweetest customer” right now is the private equity-backed home services rollup. These are investment firms that have been quietly buying up local HVAC and plumbing shops across the country, bundling them under one roof, and then squeezing out efficiencies. The acquisition pace is a key contextual datapoint: that rollup segment hit 88% growth year-over-year through mid-2025. For consolidators, operational leverage is everything. If you standardize dispatch across acquired locations, you can turn fragmented teams into measurable productivity improvements. Probook also sells directly to owners who are laser-focused on profit margins, which aligns tightly with the operational savings story Eliadis is leading with, like reducing dispatcher headcount while maintaining or increasing booked volume.
The big strategic question is how Probook plays alongside ServiceTitan, the $6.3 billion publicly traded platform that already has its own AI scheduling product. In the home services software world, this is the classic “new system vs. incumbent platform” problem, especially when the incumbent has both revenue scale and engineering depth. For now, Probook is listed as a ServiceTitan partner, meaning the two technically work together rather than against each other. Eliadis calls them complementary. Still, the tension is obvious to anyone who has ever tried to swap out a core workflow in a high-switching-cost business. ServiceTitan has $960 million in revenue, plus internal teams building similar AI scheduling capabilities.
There is also the human factor. Eliadis was the company’s only salesperson until February of this year. The source describes an unusually hands-on approach, including being to customers’ weddings and sleeping on their couches. That founder obsession matters because it signals pattern recognition. Eliadis is describing operational pain from the inside of the trades, not from a sanitized demo environment. Sequoia’s Konstantine Buhler cited that exact point when he backed the seed in early 2025 and doubled down on the A. The line, as reported, is that most founders building for the trades have never worked in them, while George has. And the board dynamics behind a round like this tend to reinforce the bet: a16z and Sequoia are placing this wager on an “AI operating system” for a $700 billion industry, starting where the incumbent stacks often leave value on the table.
So what does this mean for decision-makers watching from the sidelines? If you run a contractor, dispatch is not a feature category. It is the core operating rhythm. If you run a board or invest in platforms for the trades, Probook’s bet highlights an uncomfortable truth: customers may not want more AI tools. They want fewer vendors, cleaner workflows, and outcomes you can measure in booking volume, staffing ratios, and job revenue. In other words, the next wave of AI winners in home services may not be the flashiest chatbot. It may be the company that quietly owns the scheduling brain, then ties everything else into that same system of record.
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