Glean — Startup Profile

Work AI that knows your work — search and AI assistant for the enterprise

HQ: Palo Alto, CA, United States | Founded: 2019 | Employees: 850+ | Stage: Late Stage VC | Website: https://www.glean.com

About

Glean is a Work AI platform that provides enterprise search, a generative AI assistant, and agentic automation for the modern workplace. Founded in 2019 by Arvind Jain (CEO, former Google Distinguished Engineer and co-founder of Rubrik), T.R. Vishwanath (CTO), Piyush Prahladka, and Tony Gentilcore — all former Google and Rubrik engineers — Glean indexes and understands all of a company's data across 100+ workplace applications including Slack, Google Drive, Salesforce, Jira, Confluence, GitHub, and ServiceNow. The platform builds a company-specific Knowledge Graph mapping people, content, and interactions to deliver personalized, permission-aware answers and actions.

The company has scaled to $200M ARR as of December 2025, doubling from $100M in January 2025, with a $7.2B valuation following its $150M Series F led by Wellington Management in June 2025. Glean serves 1,000+ enterprise customers including Fortune 500 companies, with its Glean Agents platform executing over 100 million actions per year. The platform is LLM-agnostic, supporting OpenAI, Anthropic, Google, and other models, and is deployed with enterprise-grade security including permissions-aware retrieval, SOC 2 compliance, and data residency controls. Glean has raised $765M from Kleiner Perkins, Sequoia Capital, Lightspeed Venture Partners, IVP, Altimeter Capital, DST Global, Wellington Management, General Catalyst, and Latitude.

The Take

Glean has become the $7.2B Work AI leader for the enterprise, scaling from $100M to $200M ARR in under a year by solving enterprise search and knowledge management with 100+ connectors, a company-specific Knowledge Graph, and agentic AI that executes 100M+ actions annually. The company's LLM-agnostic RAG architecture, deep permission-aware indexing, and no-code agent builder position it as the infrastructure layer for enterprise knowledge amid intense competition from Microsoft Copilot, Google Gemini Enterprise, and Amazon Q.

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