Glean’s top revenue exceeded $300 million as AI budget cuts became its main selling point

Glean, a company often described as the Google for enterprises, said it has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the record $100 million it reached just 15 months ago.

While many AI startups are growing at an astonishing pace, Glenn’s progress is particularly notable. After years of being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the enterprise AI research market with competing products.

“For the first four or five years of our existence, we had no competition,” Glenn CEO Arvind Jain told TechCrunch. “Given how important research is in enabling AI in the enterprise, every company in the world wants to be in this space.”

Tech heavyweights building Glean-like tools include Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian.

Jain stresses that there is value in being the first mover in this space, but it is also important to offer a better product.

What Glean does better than its competitors, according to Jain, is because of the deep understanding its AI tools have of customers’ business needs. Glean’s AI achieves this knowledge — a concept captured by the new popular term “context graph” — by connecting to and learning from organizations’ internal software systems.

Jain claims that Glean’s context graph also helps organizations reduce AI computing costs.

“If you connect your AI to Glean, it gives you all the information you need to do your job, and the result is that the AI ​​consumes much less code than if you unleashed the AI ​​directly on your systems,” Jain said. This is because with Glenn, the AI ​​ends up doing fewer operations, he added.

At a time when many companies are stretching their AI budgets, these token cost savings have become a major selling point for the company.

“One of the things you know our customers really love about Glean is the fact that we can significantly reduce your AI bill,” he said.

The company, which was last valued at $7.2 billion when it raised a $150 million Series F last June, offers different pricing structures to its clients, which include Databricks, Reddit, Pinterest, and Samsung.

According to Jain, Glenn offers a consumption-based model, where customers pay per use, and a hybrid model that combines a flat monthly fee for active users with a separate usage fee for model consumption.

Glean is certainly not the first company to do this, but it’s worth noting that the company’s $300 million milestone can’t be entirely described as traditional ARR, because the consumption model by definition doesn’t have a strictly recurring component.

Pure consumption pricing models are based on fluctuating user activity rather than expected subscription renewals, so part of Glean’s top line is more accurately described as its annual revenue run rate.

Glenn did not immediately respond to a request for comment. This post will be updated if the company responds.