Glean Reaches $300 Million in Annual Recurring Revenue

Jun 2, 2026
Glean announced it has surpassed $300 million in annual recurring revenue, tripling its revenue in 15 months as enterprise adoption of its AI context platform accelerates.
Glean Reaches $300 Million in Annual Recurring Revenue

Glean has reached $300 million in annual recurring revenue, just 15 months after surpassing the $100 million mark, announced in a press release. The company attributed its growth to increasing enterprise adoption of its AI platform that captures and applies business context across complex environments.

Glean nearly doubled its number of Fortune 500 customers over the past year and now operates in 28 countries. More than 85 percent of its customers use the platform across at least five departments. The company reported that its tools use about 30 percent fewer tokens than standard model control protocol tools in benchmark tests.

In the past year, Glean has introduced over 250 new product features and expanded its offerings with capabilities such as the Model Hub and MCP Gateway. These components allow enterprises to integrate preferred AI models and cloud frameworks while maintaining governance and security through its Glean Protect system.

Glean’s platform enables customers to build and manage AI agents and assistants grounded in company data. The company plans to further showcase its technology at the Glean:GO 2026 conference in San Francisco in August.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.