Probook closed a $34 million Series A led by Andreessen Horowitz with participation from Sequoia Capital, according to AlleyWatch. Founded by George Eliadis, Ben Cervantez, and Lewis Zhang in 2024, the company has now raised $40 million in total reported funding.
Probook builds an AI operating system for home services businesses: plumbing, HVAC, and electrical contractors. The platform automates three core workflows: dispatch optimization (assigning the right technician to the right job at the right time), customer communications (SMS, email, and voice for appointment reminders, reschedules, and status updates), and scheduling.
Why Home Services
Dispatch is a pure optimization problem well-suited to autonomous agents. Every assignment involves matching technician skills, location, availability, and job priority. Manual dispatch means idle technicians and inefficient routing. AI-driven dispatch reduces both, producing immediate, measurable ROI: less idle time, more jobs completed per day, lower fuel costs.
Customer communications are high-volume and repetitive. Appointment confirmations, reschedule requests, and status updates follow predictable patterns. Automating these with AI agents frees office staff for work that requires judgment, like handling complaints or negotiating scheduling conflicts.
The a16z and Sequoia Signal
The investor pairing is notable. Andreessen Horowitz and Sequoia Capital rarely co-invest in seed-stage or early Series A rounds for the same company, and their joint presence in a $34M raise for a two-year-old startup signals institutional conviction that vertical AI agents for back-office operations represent a scalable market category.
The thesis: home services is an industry estimated at over $600 billion annually in the United States alone, dominated by small and mid-sized businesses that lack the engineering resources to build custom automation. A platform that delivers agent-driven dispatch and communications out of the box can capture significant market share by reducing the technical barrier to adoption.