Monaco builds in-house agentic harness for startup sales teams
Series B startup Monaco is developing an AI-native sales platform that combines proprietary agents with human-led workflows. The company targets early-stage firms while building core infrastructure internally to maintain a competitive edge.
Monaco, a Series B company, is building an all-in-one, fully AI-native sales platform designed for early-stage startups from seed to Series A, with plans to move upmarket later. The company utilizes a proprietary agentic harness for go-to-market use cases, including TAM scoring, ICP definition, and pipeline evolution. To assist customers in building these agentic workflows, Monaco employs forward deploy account executives. While the company integrates third-party tools such as Cognition’s Devin for code review and Parallel and Exa for data enrichment, it builds core infrastructure in-house. This includes Monocoder, a background agent platform built on Coder, and HAL, a Slack bot for site reliability engineering and customer success. Mihail Eric, who leads the company, describes the strategy as buying to learn and building to keep, noting that in-house development was necessary when mature vendor offerings were lacking. Eric positions Monaco as a pioneer in the space, arguing that combining software with human-guided agentic workflows creates a defensible moat against point solutions. He claims the company is among the best, if not the best, startup-focused sales platforms. The company recently won a lawsuit regarding the monaco.com domain and uses $6,000 per day in plane ads for marketing.