Gong.io Ltd

Gong is a revenue AI platform for go-to-market teams. It captures customer interactions across calls, email and meetings, links them into a shared revenue graph, and uses AI agents to surface what is working and act on it.

The page describes a set of products built on that data. Gong Engage helps sellers prioritise and personalise sales engagement. Gong Forecast provides centralised, data-driven forecasting. Gong Enable is a revenue enablement tool grounded in real customer conversations, including AI Trainer for building training scenarios. Gong Agents automate follow-ups, pipeline edits, enablement triggers and forecast corrections. Gong Collective is a set of integrations and services for enterprise customers.

The product is aimed at revenue leaders, sales managers, sellers, revenue operations, customer success teams and enablement teams. The page names industry-specific offerings for technology, financial services, healthcare and manufacturing companies, and says Gong is used by more than 5,000 customers.

How it works is described at a high level. Gong records and analyses customer interactions, builds a revenue graph of those interactions, and lets teams build and run agents that turn signals into actions in their workflows. The page describes the product as a web-based platform.

Pricing is not published as a fixed list. The pricing page says licenses are priced per user, with a platform fee based on the number of users supported, and that integrations with an existing tech stack are free. Teams request a customised proposal through a form that asks for team size.

The page cites a 2026 Gartner Magic Quadrant placement for Revenue Action Orchestration, a Forrester Wave leader position, and an average G2 rating of 4.8 across more than 6,000 reviews. Customer examples on the page include Anthropic, which the page says increased revenue team productivity by 64%, and ADP, HubSpot, LinkedIn and Uber for Business, each with their own quoted results.

Gong is headquartered in San Francisco and was founded in 2015, according to the page's structured data.