Glean Hits $300M ARR at $7.2B Valuation: Enterprise AI Search Thrives Amid AI Budget Scrutiny

At a glance: Glean is an enterprise AI search and knowledge platform built around a proprietary “context graph” that connects to 100+ business tools. Founded 2019 by Arvind Jain (ex-Google Search). CEO: Arvind Jain. Funding: $150M Series F closed June 10, 2025. Lead: Wellington Management. Valuation: $7.2B. ARR: $300M (May 2026). Revenue growth: 3x in 15 months. Employees: 850+. Customers: Databricks, Reddit, Pinterest, Samsung. Part of our AI industry reviews.

Enterprise AI has a spending problem. Companies poured capital into AI infrastructure through 2024 and early 2025, then began scrutinizing whether they were getting returns. Budget committees started asking hard questions. Many AI vendors found themselves on the defensive.

Glean found itself with an answer the market wanted: it makes existing AI cheaper to run.

In May 2026, Glean crossed $300M in annual recurring revenue — a milestone that represents a tripling of its revenue base in just 15 months. The company had reported $100M ARR when it raised its Series E; by December 2025, that figure had reached $200M. The pace of growth, in a period of heightened enterprise spending scrutiny, is the story.

The Series F Round

In June 2025, Glean raised $150M in a Series F led by Wellington Management at a $7.2 billion valuation. New investors in the round included Khosla Ventures, Bicycle Capital, Geodesic Capital, and Archerman Capital. A long list of existing institutional investors participated: Altimeter, Capital One Ventures, Citi, Coatue, DST Global, General Catalyst, ICONIQ, IVP, Kleiner Perkins, Latitude Capital, Lightspeed Venture Partners, Sapphire Ventures, and Sequoia Capital.

Wellington’s involvement is notable — the Boston-based investment firm manages over $1 trillion in assets and typically backs businesses with durable revenue profiles, not speculative technology bets. Its willingness to lead the round at a $7.2B valuation reflects a reading that Glean’s growth rate is structural rather than promotional.

As Crunchbase noted, the round came nine months after Glean’s previous raise — a signal that the company had enough momentum to return to market quickly and on favorable terms.

The Context Graph Advantage

Glean’s core product is a permissions-aware knowledge graph that indexes a company’s internal data across all connected business tools — documents, tickets, wikis, code, emails, CRM records, and more — while respecting the access controls of each source system.

When an employee or an AI agent queries Glean, the platform retrieves the most relevant internal context and surfaces it with citations. The effect, CEO Arvind Jain explained to TechCrunch, is that “AI ends up performing fewer operations” — a customer using Glean to feed context to their LLM-based workflows runs fewer token-intensive retrieval passes because the retrieval is already done.

At a time when enterprises are examining every line of their AI compute budgets, a product that demonstrably reduces that budget while maintaining or improving AI output quality has a natural sales pitch.

Glean integrates with more than 100 SaaS applications and powers over 100 million agent actions per year across its customer base.

Scale and Customers

The customer list reads as a cross-section of data-intensive enterprises: Databricks, Reddit, Pinterest, and Samsung are among the publicly named accounts. These are organizations with significant internal knowledge sprawl — thousands of employees, dozens of tools, and constant need to surface information across functions.

At 850+ employees worldwide and with over $765M raised across six funding rounds, Glean has the headcount and capital to pursue enterprise sales cycles that require dedicated implementation support.

The company offers both consumption-based and hybrid pricing — a fixed monthly per-user fee combined with usage-based charges for AI operations. TechCrunch flagged that this hybrid model complicates pure ARR analysis, since some portion of reported revenue is variable. Still, the 3x growth trajectory across 15 months is difficult to discount.

A More Competitive Landscape

Jain was characteristically direct about the market’s evolution in the TechCrunch interview: “The first four or five years of our existence, we had no competition."

That is no longer the case. Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian all have enterprise AI search or knowledge management products, and each brings distribution advantages that Glean cannot match from a standing start. Microsoft’s Copilot, for example, ships inside the Office 365 stack that most Glean customers already pay for.

Glean’s response to this pressure has been to position itself not as a search overlay but as a system of context — infrastructure that other AI tools plug into rather than a product that competes with them. The Glean Agents platform and Glean Protect (its security offering) extend that positioning deeper into enterprise AI workflow orchestration.

Whether that framing holds as the hyperscalers build more capable internal retrieval systems is the central question for Glean’s next phase. The $300M ARR number suggests, for now, that enough enterprise buyers find the independent, cross-tool context graph valuable enough to pay for separately.

Use of Funds

Glean’s stated priorities for the Series F capital are: deepening product innovation in AI security, enterprise search, and agentic AI; growing its partner ecosystem and go-to-market partnerships; and scaling internationally into new markets.

The international expansion component is significant — the $7.2B valuation implies a market opportunity well beyond English-speaking enterprise software buyers, and Glean will need to demonstrate traction outside North America to justify continued growth.

For builders and enterprise AI buyers evaluating knowledge management infrastructure, Glean’s trajectory is a useful signal: the market is large enough to sustain a dedicated independent player even as the biggest AI companies pile in.