Gong

Gong Revenue AI OS is positioned as the #1 AI OS for revenue teams, designed to help entire go-to-market organizations win more deals. The platform captures every customer interaction across calls, emails, and meetings, then analyzes what is working and automates what happens next. Core capabilities include closing deals faster, predicting pipeline risk, automating handoffs between team members, enabling revenue at scale, and increasing win rates. Gong also predicts customer churn, helping teams proactively retain accounts. The platform serves over 5,000 customers and has been named a Leader in the first Gartner Magic Quadrant for Revenue Action Orchestration. Gong positions itself as fundamentally different from revenue tools that merely report what happened—instead, it tells revenue teams what to do next through specialized AI agents and purpose-built applications. Pricing follows a per-user licensing model with a platform fee scaled to the number of users supported. Gong offers team size tiers ranging from small teams (1-50 users) through enterprise deployments (10,000+ users). Existing tech stack integrations are provided at no additional cost. Since Gong does not publicly list specific pricing, prospective customers must submit a form to receive a customized proposal. For developers, Gong offers the Gong Collective Program, which provides API access and enables commercial technology partnerships within the revenue intelligence ecosystem. The developer onboarding process requires an application to join the program. Gong's Trust Center highlights SOC 2 Type 2 certification and compliance with global standards, positioning the platform as suitable for regulated industries including financial services and healthcare. The platform emphasizes privacy, compliance, and global scalability in its enterprise positioning. Poor fit scenarios include organizations seeking a simple call recording tool without AI-driven insights, teams without dedicated sales operations resources to configure the platform, or companies with minimal customer-facing workflows that would not benefit from interaction capture across the revenue cycle.