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Gong

https://www.gong.io/ Research Team Data
Active

Revenue AI Operating System for GTM teams that captures customer interactions, analyzes deal and account signals, and automates next actions across sales, forecasting, enablement, and customer-facing workflows.

Gong provides a Revenue AI Operating System built around the Gong Revenue Graph, specialized AI, and workflow applications. The platform captures and analyzes customer interactions across calls, emails, meetings, and revenue systems, then surfaces deal insights, coaching guidance, forecast signals, account intelligence, and next-best actions. Product areas include Gong Engage, Gong Forecast, Gong Enable, Gong Agents, Gong Revenue Graph, and integrations/partner services through Gong Collective.

Positioning

Revenue AI OS for GTM and revenue teams

Key facts

HQ location
San Francisco, CA, USA
Founded
2015
Employee range
1001-5000 (1,001-5,000 (LinkedIn; third-party estimates vary from ~1,100 to ~2,500))
Funding stage
Series C Plus
Company type
Private (Private)
Pricing model
Custom Quote Freemium Subscription (Custom enterprise SaaS / quote-based pricing; per-user licenses plus a platform fee based on number of users; existing tech-stack integrations are free)
Last updated
Jun 21, 2026

Revenue estimate

$500M+ ARR (announced May 12, 2026); >55% YoY growth in most recent quarter

Valuation estimate

$7.25B official Series E valuation (Jun 2021); Calcalist reported secondary-deal talks around ~$4.5B in Nov 2025

Investments

$584M total funding; latest disclosed primary round was $250M Series E led by Franklin Templeton in Jun 2021 with Coatue, Salesforce Ventures, Sequoia, Thrive Capital, Tiger Global and others participating

Target customers

Enterprise and mid-market revenue teams, sales leaders, RevOps, customer success, enablement, and GTM organizations seeking productivity, predictability, and growth

Key competitors

Clari, Outreach, Salesloft, ZoomInfo Chorus, Salesforce Einstein / Revenue Cloud, HubSpot, Aviso, People.ai, Avoma, Salesloft Drift, Fireflies.ai

Known customers

ADP, HubSpot, PitchBook, LinkedIn, Dropbox, Kelly, Snowflake, Canva, Crayon, SpotOn, Uber for Business

Classification (raw research text)

Core focus
Revenue intelligence, conversation intelligence, sales coaching, forecasting, deal execution, sales engagement, enablement, customer success insights, and AI agents for revenue teams
Core industry
Sales technology / Revenue operations / Enterprise software
Core category
Revenue AI / Revenue intelligence platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • System / API Integration Primary focus
  • Retrieval-Augmented Generation Secondary feature
  • Graph RAG / Knowledge Graph Retrieval Secondary feature
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Traditional Machine Learning Secondary feature
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Primary focus
  • Conversation Intelligence / Speech Analytics Primary focus
  • Voice Infrastructure / STT / TTS Secondary feature
  • AI for Customer Experience / Support Automation Secondary feature
  • Sales / Revenue Intelligence Primary focus
  • Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Not emphasized
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Not emphasized
  • Retrieval-Augmented Generation Secondary feature
  • Graph RAG / Knowledge Graph Retrieval Secondary feature
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Secondary feature
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Primary focus
  • Conversation Intelligence / Speech Analytics Primary focus
  • Text Chatbots / Conversational Assistants Not emphasized
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Secondary feature
  • AI for Customer Experience / Support Automation Secondary feature
  • Sales / Revenue Intelligence Primary focus
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Not emphasized