AI voice agents for trades, integrated with ServiceTitan
Broccoli AI builds voice agents for plumbing, HVAC, and electrical contractors. The stack is deliberately lean—ServiceTitan integration at the core, Segment for data routing, and a TypeScript/React/Node.js/Python backend—suggesting a tightly scoped product rather than a sprawling platform. Hiring is accelerating across engineering and go-to-market (leadership roles for Engineering Head and Strategy Operations Lead open), while project backlog signals two competing tensions: scaling real-time voice performance and maturing the enterprise motion for multi-location operators.
Notable leadership hires: Strategy Operations Lead, Engineering Head
Broccoli AI provides AI voice agents for trades—handling calls, texts, and chats for plumbing, HVAC, and electrical businesses. The product is built as a native integration into ServiceTitan, the dominant software platform for trades companies, which lowers switching friction and deepens distribution. The company operates out of San Francisco with 11–50 employees. Go-to-market appears early-stage: active pilot programs are being expanded to full rollouts, and the pricing model remains in flux as they onboard larger, multi-location operators. Pain points center on real-time voice quality, operational complexity at scale, and standardizing how implementations work across diverse customer footprints.
Core: ServiceTitan integration, Google Analytics 4, Segment, Salesforce, HubSpot. Backend: TypeScript, React, Node.js, Python. Operations: Figma, Notion, Looker Studio, Zapier for workflow automation.
Real-time voice performance improvement, ServiceTitan API integration depth, scaling backend services, onboarding multi-location operators, and transitioning customers from pilots to full portfolio deployments.
Broccoli AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.