SetSail is a sales data and revenue intelligence platform designed to help B2B revenue teams "do what wins." The product automatically captures sales activity from email, calendar, call recording and engagement tools, normalizes it into a Sales Data Layer, and syncs it back into systems of record like Salesforce. On top of that data foundation, SetSail layers an AI revenue analyst that can answer natural-language questions about deals, accounts, and performance, pushing timely guidance to sellers where they work.
The platform combines three core pillars: sales data capture, revenue intelligence, and sales performance management. It automatically logs emails, meetings, call transcripts and contacts, enriches contact records, and creates a complete activity history in Salesforce and data warehouses. SetSail then analyzes this data to identify the behaviors that correlate with winning deals, highlights risky opportunities, prepares reps for meetings with MEDDICC-style analyses and summaries, and delivers alerts and recommendations via Slack, email and in-app views.
Founded in 2018 in San Mateo, California by former Google machine learning experts, SetSail has raised approximately $37M in venture funding, including a $26M Series A led by Insight Partners, bringing total funding to $37M across four rounds. The company has been recognized by G2 as one of the Top 50 Sales Products and earns high marks for ease of use and being “easy to do business with,” with customers including LinkedIn, Spotify, Cisco, Dropbox, ADP, Databricks and OutSystems.
SetSail positions itself at the intersection of revenue intelligence, sales activity capture, and performance management. Rather than just providing dashboards, it focuses on turning raw activity into actionable signals and incentives that change rep behavior. The company has since joined ZoomInfo (often referenced as “SetSail (acquired by ZoomInfo)”), and continues to operate as a specialized AI sales data and insights platform within the broader sales and RevOps technology ecosystem.