Our story
From workplace search to enterprise AI.
2019
Year founded
>$350M
Annual recurring revenue
$7.2B
Valuation
Why Glean exists
A problem hiding in plain sight.
Every company runs on knowledge. As that knowledge spreads across tools, teams, documents, and conversations, it gets harder to find and use.
Arvind Jain saw this problem firsthand while leading engineering at Rubrik, where employee surveys showed that people couldn’t find the information they needed to do their jobs.
That experience became Glean’s founding belief: finding knowledge at work should feel as intuitive as searching anywhere else.
How Glean evolved
Search became the foundation for enterprise AI.
Building enterprise search meant understanding company knowledge, permissions, and relationships well enough to return the right results. That foundation now powers Glean’s enterprise AI platform, bringing enterprise context to every answer, workflow, and action.
Search
Find trusted company knowledge across the tools and systems where it lives.
Assistant
Surface insights, create content, and move work forward with an AI coworker.
Agents
Deploy agents that complete work across systems using enterprise context and the right controls.
Enterprise AI platform
Ground every AI experience in full enterprise context.
Milestones
The moments that shaped Glean.
The problem appears before the company.
While leading engineering at Rubrik, Arvind Jain sees a recurring problem: employees can’t find the information they need to do their jobs. He looked for a product that could solve it. He couldn’t find one, so he started building it.
Glean is founded and starts building in stealth.
Arvind Jain, T.R. Vishwanath, Piyush Prahladka, and Tony Gentilcore found Glean and raise a $15.3 million Series A. The team spends the next two years quietly building before launching publicly.
Glean launches publicly.
We emerge from stealth with an enterprise search product already in use at more than 40 companies. We also disclose $55 million in total funding, including a $40 million Series B. Early traction confirms that finding knowledge at work is a company-wide problem.
Glean becomes a unicorn.
Less than a year after launch, we raise a $100 million Series C at a $1 billion valuation. Our first major workplace study finds that employees spend roughly a quarter of the workweek searching for information.
Glean expands from product to platform.
We introduce the first enterprise-grade generative AI search capabilities, grounded in company context and permissions, and launch Glean Chat. Later that year, we introduce a broader platform vision for AI grounded in company knowledge and context.
Glean becomes an enterprise AI platform.
Glean Apps and APIs give companies a way to build custom AI experiences on top of their enterprise context. "Work AI for all" expands Glean beyond enterprise search into a broader platform for work. Across two funding rounds, we raise more than $460 million and double our valuation from $2.2 billion to $4.6 billion.
Glean enters the agentic era.
We launch Glean Agents and showcase the enterprise AI platform at our first user conference, Glean:GO. Enterprise Graph and autonomous agents advance how Glean understands company context and takes action across work. ARR doubles from $100 million to $200 million in nine months and we raise a $150 million Series F at a $7.2 billion valuation.
Glean introduces enterprise AI coworkers.
Assistant becomes more proactive and collaborative, while independent agents bring enterprise context and controls into the tools where teams work. We also introduce Waldo, our first agentic search model. Glean reaches $300 million in ARR five months after the $200 million milestone.
