Glean, the enterprise AI search platform sometimes called "the Google for work," has hit $300 million in annual recurring revenue, tripling its $100 million revenue mark from just 15 months prior. The seven-year-old startup's growth trajectory stands out even among the explosive expansion seen across the AI sector. CEO Arvind Jain told TechCrunch that for the first four to five years, Glean operated as essentially the only player in enterprise AI search. Now, with tech giants piling into the market, the company is accelerating rather than slowing down.
Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian have all launched rival enterprise search tools, recognizing how critical search capabilities are to making AI function effectively in business settings. Jain argues that being a first mover provides advantages, but execution matters more. Glean's edge, he contends, stems from its deep understanding of individual customers' business contexts. The company builds what industry observers call a "context graph"—a web of connections that learns from a company's internal software systems to provide highly relevant, company-specific AI responses.
The timing of Glean's cost-cutting message appears particularly fortuitous. Jain claims that connecting AI to Glean dramatically reduces token consumption compared to letting AI systems roam freely across company data. Since tokens represent the primary expense in AI operations, fewer tokens mean lower bills. "One of the things you know our customers really like about Glean is the fact that we can reduce your AI bill significantly," Jain said. This financial appeal resonates as enterprises increasingly struggle with runaway AI spending.
Glean counts Databricks, Reddit, Pinterest, and Samsung among its customers. The company most recently secured a $7.2 billion valuation during a $150 million Series F funding round last June.