Enterprise AI / Work AI Platform
G

What is Glean?

The enterprise AI platform that connects company knowledge to power search, answers, and AI agents

Category
Enterprise AI / Work AI Platform
Headquarters
Palo Alto, CA
Founded
2019
Employees
~1,650 (May 2026)
Total Funding
~$768M across 6 rounds
Valuation
$7.2B (Series F, June 2025)

What is Glean?

Glean is an enterprise AI platform that connects company knowledge across every SaaS application, powering AI-driven search, answers, and autonomous agents for large enterprises. Founded in 2019 by ex-Google and ex-Facebook engineers, it reached $300M in ARR by May 2026 and carries a $7.2B valuation — one of the fastest ARR trajectories in enterprise software history.

Glean's core technology is a permissions-aware knowledge graph that indexes every connected application — Slack, Google Drive, Salesforce, Jira, Confluence, and 100+ others — and builds a unified semantic model of each company's information. Rather than copying data into a central store, Glean respects existing access controls, so employees only see results they are already permitted to see. The platform's flagship product, Glean Assistant, answers natural-language queries against this graph; users average 14 queries per day versus 3–4 for a typical Google Search session, and the company reports a roughly 40% daily-active-user-to-monthly-active-user ratio that significantly exceeds typical enterprise SaaS benchmarks.

Glean has moved decisively beyond pure search into what it calls 'Work AI.' Its Agentic Engine 2 supports parallel sub-agent orchestration achieving 94% task completeness, and a Model Hub integrates 15+ LLMs — including models hosted on Amazon Bedrock, Azure OpenAI, and Google Vertex AI — giving enterprises LLM flexibility without vendor lock-in. In April 2025, Glean launched Waldo, a reinforcement learning agentic search model that delivers approximately 50% lower latency and 25% fewer tokens than default reasoning models by separating search planning from deep reasoning.

As of May 2026, Fortune 500 customer count has nearly doubled year-over-year, and 85%+ of Glean customers deploy the platform across five or more departments. Notable enterprise customers include Databricks, Reddit, Pinterest, Samsung, Booking.com, Dell, Workday, Palo Alto Networks, Comcast, eBay, Intuit, LinkedIn, and Zillow. The $1M+ annual contract segment nearly tripled year-over-year, and company-wide deployments more than doubled from 2024 to 2025.

What does Glean offer?

Glean's platform spans AI-powered enterprise search, a conversational work assistant, multi-agent orchestration, an LLM-neutral model hub, governance and security tooling, a low-code app builder, and specialized vertical solutions — all built on a permissions-aware knowledge graph.

  • AI Enterprise Search· Core Platform
  • Glean Assistant (conversational AI)· Core Platform
  • Agentic Engine 2 (multi-agent orchestration)· Agentic AI
  • Glean Apps (low-code/no-code AI builder)· Agentic AI
  • Canvas (co-authoring UI)· Core Platform
  • Model Hub (15+ LLM support)· Infrastructure
  • Glean Protect Plus (AI governance)· Security & Governance
  • Permissions-Aware Knowledge Graph· Infrastructure
  • 100+ SaaS Connectors· Integrations
  • Code Intelligence (engineering search)· Vertical Solutions
  • MCP Server & Host Support· Integrations
  • Waldo (RL-based agentic search model)· AI Research
  • On-Premises Deployment (Dell partnership)· Infrastructure

How does Glean make money?

Glean sells annual enterprise software subscriptions priced per seat, with all contracts customized through a direct sales motion. Minimum spend is approximately $60,000/year; large enterprise deployments commonly exceed $500,000 annually in total cost of ownership.

Glean's pricing is not publicly listed — all deals require a custom sales quote. Industry estimates consistently place the base seat cost at approximately $45–50/user/month, with an AI features add-on of roughly $15/user/month on top. The entry-point minimum is roughly 100 seats (~$60,000 annually), and the median annual deal value is approximately $65,000. Larger multi-department rollouts scale into six-figure territory, and typical initial contract values for Fortune 500 accounts range from $100,000 to $500,000 annually, with the largest deals exceeding $5M per year. Fully-loaded total cost of ownership — including cloud infrastructure for indexing and AI processing, implementation services, and internal administration — typically runs $350,000–$480,000/year for mid-to-large deployments.

Glean also offers consumption-based FlexCredits for premium agentic features, layering a usage component on top of the base seat subscription. This hybrid model (per-seat base + consumption add-on) is a deliberate hedge as the company transitions customers from search into agentic workloads where consumption patterns are less predictable than a fixed seat count.

Glean's revenue growth is driven by land-and-expand dynamics: initial deals often cover one department or use case, and seat count and integrations grow as adoption spreads. The $1M+ contract cohort nearly tripled year-over-year from 2024 to 2025; company-wide deployments more than doubled over the same period. ARR trajectory has been among the fastest in enterprise software history: $40M in 2023, $100M in January 2025, $200M in December 2025, and $300M in May 2026.

Who leads Glean?

Glean is led by its four co-founders — all ex-Google or ex-Facebook engineers — plus a cadre of seasoned operators recruited from Slack, Rackspace, and Google to scale the company through its growth phase.

  • Arvind JainCo-Founder & CEO2019–presentFormer Distinguished Engineer at Google (Search, Maps, YouTube) and co-founder and R&D lead at Rubrik (NYSE: RBRK); the strategic and public face of Glean.
  • T.R. VishwanathCo-Founder & CTO2019–presentFormer Principal Software Engineer at Facebook (News Feed, Ads, developer platforms) and 8-year veteran at Microsoft; owns Glean's core search and AI infrastructure.
  • Tony GentilcoreCo-Founder, Product Engineering2019–presentUX engineer who worked alongside Arvind Jain at Google; leads the product engineering org.
  • Piyush PrahladkaCo-Founder2019–presentFormer head of search and AI at Glean; previously held search and AI roles at Google and Uber.
  • Tamar YehoshuaPresident, Product & TechnologyMarch 2024–presentFormer VP of Search Experience at Google and CPO at Slack (scaled through 10x revenue growth, IPO, and Salesforce acquisition); owns all of Glean's product and engineering.
  • Amar MaletiraChief Operating Officer2024–presentFormer CEO of Rackspace Technology (NASDAQ: RXT, $2.7B revenue) and EVP/CFO at VIAVI Solutions; oversees go-to-market and company operations. Confirmed active May 2026.
  • Sunil AgrawalChief Information Security OfficerUnknownResponsible for Glean's enterprise security posture, compliance, and the Glean Protect Plus governance product line.

How do you contact Glean's leadership?

The dominant verified email format at glean.com is first.last@glean.com, used by approximately 90.8% of employees per RocketReach and LeadIQ. Emails below are constructed using this verified format. Use press@glean.com for media inquiries.

Email formatfirstname.lastname@glean.com

How much funding has Glean raised?

Glean has raised approximately $768M across six equity rounds since founding in 2019, reaching a $7.2 billion post-money valuation at its Series F in June 2025.

The company's funding trajectory mirrors its ARR growth: each successive round reflected a step-change in demonstrated enterprise traction. Glean raised its Series A of $15.3M in September 2019 from Kleiner Perkins and Lightspeed Venture Partners while still in stealth. Its Series B of $40M followed in September 2021 — the same month it emerged from stealth — led by General Catalyst alongside returning investors, at a post-money valuation of roughly $300M. In May 2022, Glean closed a $100M Series C at a $1B valuation led by Sequoia Capital with participation from General Catalyst, crossing the unicorn threshold.

Generative AI momentum sharply accelerated the pace of fundraising. In February 2024, Glean raised $200M in a Series D at a $2.2B valuation, led by Kleiner Perkins and Lightspeed, with participation from Coatue, ICONIQ Growth, IVP, Sequoia, Capital One Ventures, Citi, Databricks Ventures, and Workday Ventures. Seven months later, in September 2024, Glean raised $260M in a Series E at a $4.6B valuation, co-led by Altimeter and DST Global, with SoftBank Vision Fund 2, Craft Ventures, Sapphire Ventures, and all major existing investors joining.

The most recent round — $150M Series F in June 2025 at a $7.2B valuation — was led by Wellington Management, with new investors Khosla Ventures, Bicycle Capital, Geodesic Capital, and Archerman Capital joining existing backers including Altimeter, Capital One Ventures, Citi, Coatue, General Catalyst, ICONIQ, IVP, Kleiner Perkins, Latitude Capital, Lightspeed, Sapphire Ventures, and Sequoia Capital. Glean reported over $550M in cash on hand after the Series E alone, giving it strong runway without near-term capital pressure.

How did Glean get here?

Glean was founded in 2019 by ex-Google engineers and spent two years in stealth before publicly launching in 2021. It has since grown from a search startup to a $7.2B Work AI platform reaching $300M ARR in under six years.

  1. January 2019Founded; Series A ($15.3M)Arvind Jain, T.R. Vishwanath, Tony Gentilcore, and Piyush Prahladka found Glean Technologies in Palo Alto, incubated at Kleiner Perkins' office. Series A of $15.3M raised September 2019 led by Kleiner Perkins and Lightspeed.
  2. September 2021Emerges from stealth; Series B ($40M, ~$300M valuation)After two-plus years building in stealth, Glean launches its enterprise search product publicly and announces $40M Series B led by General Catalyst alongside returning investors Kleiner Perkins and Lightspeed.
  3. May 2022Unicorn status — Series C ($100M, $1B valuation)Raises $100M Series C led by Sequoia Capital with General Catalyst, crossing the $1B valuation threshold and beginning expansion into generative AI capabilities.
  4. February 2024Series D — $200M at $2.2B valuationRaises $200M led by Kleiner Perkins and Lightspeed; launches Glean Chat and its no-code AI platform; strategic investors include Databricks Ventures and Workday Ventures. Tamar Yehoshua joins as President, Product & Technology in March 2024.
  5. September 2024Series E — $260M at $4.6B valuationCo-led by Altimeter and DST Global with SoftBank Vision Fund 2; headcount surpasses 500 employees; Glean announces Agentic Engine 2 and next-generation multi-step prompting achieving 94% task completeness.
  6. April 2025Waldo RL agentic search model launchedGlean releases Waldo, a reinforcement learning model that handles information-gathering before a frontier LLM, delivering ~50% lower latency and ~25% fewer tokens. Performance on a per-LLM-call basis is roughly 10x faster than default reasoning models.
  7. June 2025Series F — $150M at $7.2B valuation; $200M ARR milestoneWellington Management leads Series F; ARR doubled to $200M in nine months from $100M; launches Waldo RL agentic search model and Glean Protect Plus governance SKU.
  8. May 2026$300M ARR milestone; Fortune 500 count nearly doublesGlean surpasses $300M ARR — a 3x increase in 15 months. Fortune 500 customer count nearly doubles year-over-year. 85%+ of customers deploy across 5+ departments. Headcount reaches approximately 1,650.

Who are Glean's competitors?

Glean competes primarily with Microsoft 365 Copilot in the enterprise, and faces challengers from both well-funded AI startups (GoSearch, Guru, Coveo) and incumbent search platforms (Elastic). Its key differentiator is cross-system retrieval quality via a permissions-aware knowledge graph rather than native integration with a single vendor's suite.

  • Microsoft 365 CopilotThe dominant incumbent — deeply integrated into M365 apps and bundled at $30/user/month, but limited to Microsoft-only data sources. Glean claims superior cross-system retrieval across a broader SaaS ecosystem including Salesforce, Jira, Slack, and custom databases that Copilot cannot reach.
  • GoSearchThe fastest-growing Glean alternative — deploys in days versus Glean's 6–12 weeks, uses a federated architecture that avoids duplicating sensitive data, and offers public pricing with a free tier. Positioned as the budget-friendly, faster-to-value option for mid-market enterprises.
  • GuruFocuses on knowledge management with real-time verification features; strong in customer-facing teams needing curated, trusted knowledge, whereas Glean auto-indexes everything. Easier to implement but narrower in scope.
  • CoveoML-driven relevance platform with deep roots in customer support and commerce search; broader AI search suite but historically oriented toward external customer-facing use cases rather than internal employee knowledge. Enterprise pedigree but less agentic momentum.
  • Notion AIAI writing and Q&A within Notion workspaces; cost-effective for teams whose knowledge lives predominantly in Notion, but not a cross-system enterprise platform. Strong for SMBs and startups, less suitable for complex multi-tool enterprise environments.
  • Elastic Enterprise SearchOpen-source search infrastructure with enterprise add-ons; highly customizable but requires significant engineering investment to build the AI layer Glean provides out-of-the-box. Competes on price and flexibility rather than time-to-value.

Glean — frequently asked questions

Agent CTA Background

Revenue work. On autopilot.

Start Free TrialBuilt for revenue teams who care about quality.