Gong is an AI-powered revenue intelligence platform that captures customer-facing interactions across phone calls, video meetings, and email, then applies machine learning to turn those conversations into structured insight for sales, customer success, and revenue operations teams. Founded in 2015 and headquartered in the United States, the company positions its product as a "Revenue AI" operating system for go-to-market organizations.
The platform records and transcribes sales conversations, then analyzes them to detect deal risk, competitive mentions, next steps, and coaching opportunities. Managers use Gong to understand what top performers do differently and to replicate winning behaviors across a team, while revenue leaders use its forecasting and pipeline analytics to improve the accuracy of their projections.
Gong is used by thousands of companies, with publicly cited customers including LinkedIn, HubSpot, and Shopify. The company has stated it captured well over a billion sales interactions, giving its models a large base of real-world conversational data across industries and selling motions.
Gong raised a $250 million Series E in 2021 at a $7.25 billion valuation, bringing total disclosed funding to roughly $584 million from investors including Franklin Templeton, Thrive Capital, and Coatue. In 2025 the company reported reaching an annual recurring revenue run rate of around $500 million with strong year-over-year growth, though secondary-market transactions later valued the company below its 2021 peak, reflecting broader software-market repricing.
Gong competes with conversation intelligence and revenue platforms such as Clari, Salesloft, and native CRM analytics. Its differentiation rests on the breadth of its captured-interaction dataset and its expansion from call recording into forecasting, deal execution, and AI agents for go-to-market workflows.
The platform is best suited to mid-market and enterprise B2B sales organizations with meaningful call and meeting volume, where coaching at scale and forecast accuracy translate directly into revenue.