By Jordan French
In an industry not often associated with Silicon Valley buzzwords, Solea AI is quietly automating the nerve center of home service businesses across the U.S. and reshaping how back-office operations are run.
Founded by Christopher Brodowski, Alexandre Delaitre, and Paul Muller, the San Francisco-based startup positions itself not as an add-on but as core operational infrastructure for home service businesses.
At its center is a fully autonomous back office: software that answers inbound calls, identifies customers, checks service history, finds open time slots, and books jobs directly. It follows up via text, manages complex scheduling needs, and offers real-time guidance to customer service representatives during live calls, surfacing relevant information, prompts, and appointment logic as the conversation unfolds.
According to the founders, the goal isn’t to assist staff, it’s to remove repetitive manual work altogether. “Most offices are still built around phones, calendars, and people juggling tasks,” says Brodowski. “We built Solea to take over that work entirely, not to sit on the sidelines.”
Brodowski’s interest in automation began with machines that see. His first startup applied computer vision to eliminate routine labor in industrial settings. That early obsession with workflow logic now drives Solea’s approach to back-office automation.
CTO Alexandre Delaitre created a real-time arbitrage engine that worked across online gaming platforms. He has experience building high-availability systems that can’t afford to slow down, skills that now apply directly to Solea’s live call AI and dynamic scheduling logic.
David Hilman, who previously built micro-services architecture and complex integrations at property platform Acre, brings deep experience in the kind of dispatch systems that power Solea’s autonomous scheduling engine.
Solea is currently deployed across a growing number of home service businesses, many operating in fragmented and competitive markets where every missed call can mean lost revenue. For these businesses, the appeal isn’t just cost reduction. It’s the ability to operate continuously and consistently without growing headcount.
While AI in customer service isn’t new, Solea’s approach is notable for its domain specificity and depth. Rather than building a general-purpose chatbot or sales tool, the team has focused on tightly modeling the operational patterns of home services, from appointment logic and route planning to trap check compliance and follow-up cadences.
While Solea’s focus is squarely on streamlining traditional workflows, the team keeps a watchful eye on emerging trends — everything from blockchain-based transaction logging to Web3–inspired payment rails — for future-proofing and enhanced security.
“We don’t see AI as a co-pilot,” Brodowski adds. “It’s the system that actually runs the office.”
As more service businesses look to scale without scaling their payroll, tools like Solea suggest a shift away from AI as a support function, and toward AI as the foundation of day-to-day operations.
