Glean, an enterprise AI search company, has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the $100 million milestone it achieved just 15 months ago. While many AI startups are growing rapidly, Glean’s progress is notable given its position as a seven-year-old company. The startup has accelerated its growth as tech giants like Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian enter the enterprise AI search market. 'The first four or five years of our existence, we had no competition,' said Glean CEO Arvind Jain. 'Given how important search is to make AI work in the enterprise, every single company in the world wants to be in this space.' Jain emphasized that being a first mover in the space has value, but offering a better product is equally important. What Glean does better than its competition, according to Jain, is its AI’s deep understanding of customers' business needs. Glean’s AI achieves this knowledge through a concept called 'context graph,' which connects to and learns from enterprises' internal software systems. Jain claims that Glean’s context graph also helps enterprises cut AI computing costs. 'If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly,' Jain said. That’s because with G, AI ends up performing fewer operations, he added. At a time when many companies are blowing through their AI budgets, those token cost savings have become a major selling point for the company. 'One of the things you know our customers really like about Glean is the fact that we can reduce your AI bill significantly,' he said. The company, which was last valued at $7.2 billion when it raised a $150 million Series F last June, offers various pricing structures to its customers, which include Databricks, Reddit, Pinterest, and Samsung. According to Jain, Glean offers both a consumption-based model, where clients pay per use, and a hybrid model that combines a fixed monthly fee for active users with separate usage fees for model consumption. Glean is definitely not the first company to do this, but it’s worth pointing out that the company’s $300 million milestone cannot be fully described as traditional ARR, because a consumption model by definition doesn’t have a strictly recurring component. Pure consumption pricing models depend on fluctuating user activity rather than predictable subscription renewals, therefore a portion of Glean’s topline is more accurately described as an annualized revenue run rate. *Source: [techcrunch](https://techcrunch.com/2026/05/28/gleans-top-line-crosses-300m-as-ai-budget-cutting-becomes-its-major-selling-point/)*