Monday, June 29, 2026
Funding 5 min read

Probook Raises $40M from a16z and Sequoia to Build the Trades' AI Operating System Around Dispatch

The home-services startup — serving HVAC, plumbing and electrical shops — raised a $6M seed led by Sequoia and a $34M Series A led by Andreessen Horowitz, a rare co-sign from two firms that seldom share a cap table. Founded by a 24-year-old who grew up pressure-washing houses, Probook is betting the trades' back office consolidates into one platform built around the dispatch board.

Probook Raises $40M from a16z and Sequoia to Build the Trades' AI Operating System Around Dispatch

Probook has raised $40 million to become what it calls the AI operating system for home services — the HVAC, plumbing and electrical shops that run on a dispatch board. The money came in two parts: a $6 million seed led by Sequoia Capital and a $34 million Series A led by Andreessen Horowitz, with Sequoia participating, according to the company and Fortune, which first reported the round.

The detail that will catch an investor’s eye is the cap table. a16z and Sequoia rarely lead into the same company; when they do, it usually means both believe they are looking at a category winner. Probook’s General Partner backers — David Haber at a16z and Konstantine Buhler at Sequoia — are betting on a market most of venture has historically ignored: the back office of the skilled trades.

Dispatch as the Wedge

Probook’s argument is that the trades have been sold everything except the thing they actually run on. Founder and CEO George Eliadis describes dispatch — the operator’s decision about which technician goes to which job, in what order, at what expected ticket size — as “the brain of every home service business,” and says no existing software was built around it. Probook starts there and pulls the surrounding workflows — call intake, scheduling, data cleanup, customer messaging and outbound follow-up — into one platform, with AI doing the bulk of the work and humans managing the exceptions (Fortune; Pulse 2.0).

That framing is a direct shot at the last few years of point-solution sprawl. As Eliadis tells it in the company’s founding letter, operators bought the AI voice agent, the AI scheduler and the AI outbound tool, and ended up with “five new tools, three new vendors, and a bill that grew faster than your revenue.” The thesis behind the raise is that the next decade is won not by the best single agent but by the platform that runs the customer experience end to end. It is the same disillusionment this publication has tracked across construction software — the shift from AI hype to proof points — arriving in the trades.

The Founder and the First Customer

The origin story is doing real work in this raise. Eliadis, 24, grew up pressure-washing houses in upstate New York with his father — six summers in the truck, hours lost to driving between jobs and missed calls — before going to Wharton and, with co-founders Ben Cervantez and Lewis Zhang, building Probook (Fortune; Pulse 2.0). Its first customer was TR Miller, a roughly $40-million HVAC, plumbing and electrical shop in Illinois where Eliadis says he spent a summer cycling through the call center, dispatch and inside sales to feel how raw the workflows were. The team says it onboarded early customers in person — sitting on the floor and configuring the product alongside front-line staff — and still does.

That “built by an operator” positioning is the company’s sharpest differentiator in a category where most entrants came at the trades from a spreadsheet.

The Traction — As the Company Tells It

Probook says hundreds of home-service brands now run on the platform across hundreds of locations nationwide, from independent shops to private-equity-backed roll-ups. The clearest data point it has put forward: Summers Plumbing, Heating & Cooling — an Indiana operator with 14 locations and 260 technicians — booked 2,542 jobs in its first month on Probook with zero human intervention, a figure consistent across Fortune’s reporting and the company’s announcement. (Probook’s own founding letter cites a higher number for the same customer, one of several places where the company’s marketing copy and its official figures diverge — a reason to treat the metrics as company-reported rather than independently audited.)

The rest of the named roster is a useful signal of who is buying: Peterman Brothers, which Probook says centralized dispatch across 11 markets and 200 technicians without adding overhead; Kansas-based Anthony Plumbing, Heating, Cooling & Electric; Florida’s Del-Air; and TurnPoint Services, Master Trades Group and Sila Services. The company attributes leaner dispatching teams, higher revenue per job and roughly doubled dispatcher productivity to those deployments. Those are Probook’s numbers, and the specific percentages vary between its sources — so the safe read is directional: real operators are running meaningful volume through it, with the precise gains still to be verified independently.

Why This Matters Beyond Home Services

Probook is not jobsite software. It runs the front office of the trades — the phones, the board, the customer experience — not the work in the field. But it sits squarely inside the built environment’s labor economy, and the bet it represents is one construction-tech investors should recognize: that the durable value in an AI cycle accrues to whoever consolidates a fragmented stack into a system of record, not to whoever ships the flashiest single feature. The trades run a roughly $700-billion service market on tooling that, until recently, no one built specifically for them.

The risk is the obvious one. Home-services software is not empty ground — incumbents already own the field-service-management layer, and “AI operating system” is a claim every vendor in the category is now making. Probook’s answer is depth at the dispatch board and a founder who has stood behind it. Whether that wedge is defensible as it scales from hundreds of locations to thousands is the question the next two years will answer. For now, getting a16z and Sequoia to co-sign the same check is the kind of validation that tends to pull a whole category’s attention with it.