San Francisco-based startup Broccoli AI has secured 52 million dollars in a combined Series A and Series B funding round. The investment values the software firm at approximately 300 million dollars. Khosla Ventures led the financing, with additional participation from early-stage accelerator Y Combinator. The capital injection is designated to accelerate the rollout of an autonomous operating system built specifically for trade and home service contractors.
The startup focuses on essential building technical trades, specifically heating, ventilation, and air conditioning (HVAC), plumbing, and electrical services. Contractors across these service sectors have long struggled with heavy administrative burdens combined with severe skilled labor shortages. Broccoli AI addresses this operational friction by creating an artificial intelligence operating system. The platform aims to resolve back-office administrative tasks without requiring constant human intervention.
According to the company, its autonomous agents can handle roughly 80 percent of standard back-office workflows. A central component of this automation is the qualification of inbound customer phone calls, which are often urgent and demanding. The system processes caller descriptions in real time, extracts necessary diagnostic details, and structures job requirements immediately. Dispatchers are freed from routine intake duties, while homeowners receive immediate responses without remaining on hold.
Deep technical integration with standard trade management platforms, such as ServiceTitan, forms a core foundation of the software. Rather than operating as an isolated point solution, Broccoli AI continuously synchronizes customer data, project histories, and service requests with existing databases. The agents can schedule on-site technician visits, calculate travel availability, and assign work orders autonomously. This real-time data sync eliminates manual re-entry and significantly reduces scheduling conflicts in field operations.
In addition to dispatching and scheduling, the system handles customer follow-ups on pending job estimates. When contractors submit project bids or quotes that go unanswered, the automated agents systematically follow up through customer communication channels. The software answers preliminary customer questions and prompts decisions to advance stalled proposals. This persistent outreach helps trade companies convert open estimates into scheduled billable appointments faster.
Backing from major venture firms such as Khosla Ventures and Y Combinator highlights an accelerating shift within the construction and trade technology markets. While general-purpose language models have primarily assisted with desktop text drafting, vertical artificial intelligence agents are now taking over complex operational execution. By connecting directly into day-to-day trade workflows, these specialized agentic systems offer practical relief for labor-constrained small and medium businesses.