Glean reached $300M in ARR by May 2026 — up 89% year-over-year and triple where it stood roughly 15 months earlier — at a $7.2B valuation. The question for enterprise AI search is no longer whether the category is real. It's whether Glean can stay ahead of Microsoft bundling Copilot into seats companies already pay for.

Glean is valued at $7.2B after a $150M Series F and reached roughly $300M in ARR by May 2026 — up about 89% year-over-year from $208M at the end of 2025, and triple the $100M it posted around 15 months earlier.

That's the short answer. The longer story is more interesting, because enterprise AI search went from a feature people argued was a feature to a category with a clear leader in under two years. Glean's pitch is deceptively simple: index everything a company already owns, respect every permission, and put a single answer box and an army of agents on top. The hard part isn't the demo. It's out-shipping Microsoft.

Glean Revenue and Valuation 2026: The Headline Numbers

Glean's $300M ARR milestone in May 2026 is the number that matters, because it confirms the growth curve didn't flatten as the company scaled. ARR climbed from roughly $100M about 15 months earlier, to $208M at the end of 2025, to $300M by May 2026 — an 89% year-over-year jump. See where that ranks against peers on the AI Valuations dashboard.

One caveat worth stating plainly: part of Glean's ARR is a consumption run-rate, not pure per-seat subscription. As the assistant and agent products take more of the mix, the revenue base gets more sensitive to how heavily customers actually use the product — which cuts both ways. Read the full Glean breakdown on the Glean company profile.

Glean Funding History: From Seed to a $7.2B Series F

Glean was founded in 2019 by a team of ex-Google search engineers — people who had built the systems that make finding the right document at scale actually work. That pedigree is central to the company's story: enterprise search is a problem incumbents have failed at for two decades, and Glean's founders had already solved the hard version of it once.

The $150M Series F that set the $7.2B valuation is the latest in a fast-escalating funding ladder. Each round has been priced against a roughly doubling ARR, which is why the valuation has climbed in step with the revenue rather than running far ahead of it. That discipline matters when you compare Glean's multiple to the more speculative end of the AI spending landscape.

For a company at $300M ARR, a $7.2B mark implies roughly a low-to-mid-20s revenue multiple. That's expensive by SaaS standards but unremarkable for a category leader growing near 90% in 2026's AI market.

How Glean Makes Money: The Knowledge Graph Plus Agents

Glean's product is built on one technical idea: index every app a company uses — email, docs, chat, tickets, CRM, code — into a single permissions-aware knowledge graph. "Permissions-aware" is the load-bearing phrase. The graph knows who is allowed to see what, so an employee's search results and AI answers never surface documents they couldn't already open. That's the trust layer that makes enterprise buyers comfortable.

• Enterprise search: a single answer box across every connected app, the original wedge product.
• AI work assistant: a chat assistant grounded in the company's own knowledge graph, so answers cite internal sources.
• Agent-building platform: tools for companies to build and deploy custom agents that act on top of their data.

The pricing model blends per-seat subscription with consumption. Subscriptions give Glean predictable recurring revenue; consumption lets revenue expand as employees lean harder on the assistant and as agents run more workflows. The bet is that once a knowledge graph is wired into every app, switching costs become very high.

The Bull Case for Glean

The strongest argument for Glean is distribution momentum: the company nearly doubled its Fortune 500 customer base year-over-year. Landing the largest enterprises first is the right order of operations, because those accounts have the most apps, the messiest data, and the highest willingness to pay for a system that actually works across all of it.

The second pillar is the platform shift from search to agents. Search was the wedge; the agent-building platform is the expansion. If Glean becomes the place where companies build and run internal agents on top of their own knowledge graph, the consumption side of revenue compounds with every new workflow — and the product stops being a tool and starts being infrastructure. That's the same dynamic playing out across the broader AI agent market.

The Bear Case: Microsoft, Bundling, and Consumption Volatility

The clearest risk to Glean is Microsoft. Copilot can be bundled into Microsoft 365 seats that enterprises already pay for, which means Microsoft can offer "good enough" enterprise AI search at close to zero marginal cost. Glean has to be meaningfully better — across every app, not just Microsoft's — to justify a standalone line item on the budget. That's a high bar to clear quarter after quarter.

The second risk is structural to the revenue model: consumption volatility. Because part of ARR is a usage run-rate, a slowdown in assistant or agent usage — or a customer dialing back during a budget freeze — hits revenue faster than a pure subscription book would. Fast-growing consumption revenue is wonderful on the way up and unforgiving on the way down.

Glean vs Copilot, ChatGPT Enterprise, Agentspace, and Guru

Enterprise AI search is now a contested category with serious competitors on every flank.

Glean's differentiation rests on neutrality and permissions: it indexes the whole stack and never surfaces what a user couldn't already access.

What to Watch: Glean's IPO Odds and the Numbers That Matter

Glean is not in an obvious rush to go public — at $300M ARR growing near 90%, the private market is funding the company comfortably. The realistic IPO window is 2027 or later, contingent on ARR crossing $500M to $1B with durable net retention. Track the timeline on the AI IPO Pipeline.

The three numbers to watch: net revenue retention (does the consumption line expand inside existing accounts), Fortune 500 logo growth (is the enterprise land-and-expand engine still accelerating), and gross margin as the consumption mix grows. If all three hold, Glean is a category-defining IPO candidate. If consumption proves choppy or Microsoft closes the gap, the multiple compresses fast.