Glean, a company often described as the Google of business, said it has reached $300 million in annual recurring revenue (ARR), a threefold increase from the $100 million milestone it reached just 15 months ago.
While many AI startups are growing at a rapid pace, Glean’s progress is particularly noteworthy. After years of essentially being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the business AI search market with competing products.
“For the first four or five years of our existence, we had no competition,” Glean CEO Arvind Jain told TechCrunch. “Given how important search is to making AI work in business, every company in the world wants to be in this space.”
Engineers building Glean tools include Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian.
Jain argues that there is value in being a first mover in the space, but that it is also just as important to offer a better product.
What Glean does better than its competition, according to Jain, is because of the deep understanding its AI tools have of customers’ business needs. Glean’s artificial intelligence achieves this knowledge — a concept captured by the new, popular term “context graph” — by connecting and learning from internal enterprise software systems.
Jain claims that Glean’s context graph also helps businesses reduce AI computation costs.
“If you connect your AI to Glean, it gives you all the information you need to do your job, and that results in the AI consuming far fewer tokens compared to if you release AI directly into your systems,” Jain said. That’s because with Glean, the AI ends up performing fewer functions, he added.
At a time when many companies are overshooting 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 like about Glean is the fact that we can significantly lower your AI bill,” he said.
The company, which was last valued at $7.2 billion when it raised a $150 million series last June, offers various pricing structures to its clients, including Databricks, Reddit, Pinterest and Samsung.
According to Jain, Glean offers both a consumption-based model, where customers pay per use, and a hybrid model that combines a fixed monthly fee for active users with separate usage fees for consumption model.
Glean certainly isn’t the first company to do this, but it’s worth noting that the company’s $300 million milestone can’t 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, so a portion of Glean’s top line is more accurately described as an annual revenue run rate.
Glean did not immediately respond to a request for comment. this post will be updated if the company responds.
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