Glean
AI-powered enterprise search and workplace assistant — a knowledge-graph layer that indexes Slack, Google Drive, Microsoft 365, Salesforce, Jira, Confluence and 100+ other SaaS sources with per-user permissions preserved, then delivers cross-source answers, agents and workflows to enterprise knowledge workers. Founded 2019 by Arvind Jain (ex-Rubrik co-founder, ex-Google distinguished engineer); built on a multi-model router across Anthropic, OpenAI, Cohere and Azure OpenAI with Glean’s knowledge graph as the orchestration and permissions layer for enterprise deployments.
The Business
Glean is an AI-powered enterprise search and workplace assistant — a knowledge-graph layer that indexes Slack, Google Drive, Microsoft 365, Salesforce, Jira, Confluence and 100+ other SaaS sources with per-user permissions preserved, then delivers cross-source answers, agents and workflows to enterprise knowledge workers. The company was founded in 2019 by Arvind Jain (ex-Rubrik co-founder, ex-Google distinguished engineer) alongside T.R. Vishwanath, Piyush Prahladka and Tony Gentilcore — a four-founder bench concentrated in ex-Google Search and Facebook engineering experience that anchors the knowledge-graph-and-connector architecture. The product is anchored on Glean’s knowledge graph — the permissions-preserving entity-and-relationship layer that sits above a multi-model router across Anthropic, OpenAI, Cohere and Azure OpenAI foundation models on AWS infrastructure. Glean is sold to enterprise IT, productivity and knowledge-work buyers on a per-seat plus consumption pricing model with annual contracts typical for Fortune 500 deployments; the $1M+ contract segment tripled in 2025 per Glean’s own disclosure. Glean is an independent, founder-led company with cumulative ~$768M raised through a June 2025 Series F at a $7.2B valuation; the relevant financial frame is Glean ARR ($200M as of Dec 2025) with the post-Series F valuation framing as context.
Customers and Distribution
Glean discloses customers in 27+ countries with Fortune 500 reference accounts including Databricks, Canva, Confluent, Duolingo and T-Mobile — an unusually broad-geography customer profile for a horizontal-AI-applications challenger at $200M ARR. The $1M+ contract segment tripled in 2025 and company-wide deployments doubled, which is the structural signal that the enterprise-procurement motion has reached velocity. Distribution sits across two principal motions: direct enterprise sales driven by the IT and knowledge-work buyer set (the dominant top-of-funnel channel at this stage), and a growing partner-integration ecosystem on the connector side — Fellow meetings integration shipped in 2026 as a recent example of the channel-expansion pattern. The $0 to $100M ARR trajectory in three years to January 2025, followed by a doubling to $200M ARR in nine months to December 2025, is described in third-party coverage as among the fastest enterprise-AI ARR ramps tracked. The P3c GTM-maturity sub-rubric was upgraded from 8 to 9 in the v1.6 evidence pass on the 27-country footprint plus the Fortune 500 reference-account evidence plus the $1M+ contract segment tripling; the P1d time-to-revenue stage-appropriateness sub-rubric was upgraded from 9 to 10 on the same trajectory.
Model Strategy
Glean is a Verticals-first generative-AI play: the strategic bet is that vertical enterprise-search-and-workflow infrastructure with deep connector coverage — 100+ SaaS sources indexed with per-user permissions preserved, customer-specific embeddings on enterprise data, a knowledge-graph entity-and-relationship layer, and SOC 2 plus ISO 27001 plus HIPAA plus GDPR compliance posture — beats generalist copilot access inside regulated, knowledge-worker-anchored procurement. The foundation-model stack is deliberately multi-supplier: a router across Anthropic, OpenAI, Cohere and Azure OpenAI with selection driven by latency, cost and capability per agent skill. The D4a supplier-diversity sub-rubric was held at 6 in the v1.6 evidence pass on that basis. The infrastructure layer is AWS-anchored. Above the foundation-model layer, the Glean knowledge graph is the orchestration surface; per-seat plus consumption is the monetisation surface; the breadth-of-index plus permissions-preserving graph plus the 27-country deployment depth are the structural differentiators. Output and embedding portability are constrained by the customer-specific operational integrations and the embeddings-on-customer-data architecture (the D1c portability sub-rubric was held at 6 on that evidence) — the same workflow-embedded lock-in that anchors enterprise-knowledge-platform retention.
At A Glance
The Numbers
Annualised revenue
Headcount (FTE)
Funding to date
Leadership Team
Glean is founder-led with Arvind Jain as the principal public voice and CEO. The four-founder bench (Jain, Vishwanath, Prahladka, Gentilcore) is unusually concentrated in ex-Google Search and Facebook engineering experience, which is the structural source of the knowledge-graph and connector-layer differentiation. Senior commercial recruiting has scaled with the 1,000+ employee headcount but the company has not yet publicly named a CRO, CFO or CTO as separate appointments distinct from the founder bench. The D4e key-person dependency sub-rubric was held at 7 in the v1.6 evidence pass on the Jain concentration plus the founder-team load-bearing role on enterprise narrative and product direction.
IM Framework Scoring
IM’s structured assessment of Glean’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →
Funding History
| Date | Round | Raised | Post-money | Lead investor(s) |
|---|---|---|---|---|
| Jun 2025 | Series F | $150M | $7.2B | Wellington Management |
| Sep 2024 | Series E | $260M | $4.6B | Altimeter Capital, DST Global |
| Feb 2024 | Series D | $200M+ | ~$2.2B | Kleiner Perkins, Lightspeed, Sequoia |
| May 2022 | Series C | $100M | $1.0B | Sequoia, Kleiner Perkins, Lightspeed |
| 2021 | Series B | ~$55M | ~$500M | Sequoia, Kleiner Perkins, Lightspeed |
| 2020 | Series A | undisclosed | undisclosed | Kleiner Perkins, Lightspeed, General Catalyst |
| 2019 | Seed | undisclosed | undisclosed | Kleiner Perkins, Lightspeed, General Catalyst |
Cumulative ~$768M raised through the June 2025 Series F at a $7.2B post-money valuation. Round-by-round figures from Glean’s own press releases, Fortune, TechCrunch and Sacra deal-track coverage. The Series F was led by Wellington Management with continued participation from Sequoia, Kleiner Perkins, Lightspeed, Altimeter Capital and DST Global. Some sources cite the Series F valuation framing at $7B+; we mark $7.2B as the published figure from Glean’s own announcement.
Competitive Landscape
Glean’s competitive set sits in three concentric rings: the productivity-suite-and-platform-embedded agent layers (Microsoft 365 Copilot, Atlassian Rovo) that bring materially larger enterprise install bases and structurally symmetric positioning on enterprise-search-and-agents, the symmetric pure-play horizontal-AI-applications challengers (Sana, Writer) that mirror Glean’s positioning at different geographies and buyer anchors, and the workspace-anchored flanking plays (Notion AI) that compete from below on smaller-deal procurement. Glean is unusual in the set because the competitive frame is breadth-of-index plus permissions-preserving knowledge graph plus enterprise-deployment depth — the strategic bet is that vertical enterprise-search-and-workflow infrastructure with deep connector coverage and SOC 2 plus ISO 27001 plus HIPAA plus GDPR compliance posture beats generalist copilot access in regulated, knowledge-worker-anchored procurement.
| Competitor | Positioning | Distribution edge | Threat profile |
|---|---|---|---|
| Microsoft 365 Copilot (Microsoft (NASDAQ: MSFT)) |
Microsoft’s productivity-suite-embedded AI assistant across Word, Excel, PowerPoint, Outlook, Teams and SharePoint — the closest structurally symmetric play on a Fortune 500 productivity install base. Microsoft Graph is the principal head-to-head against Glean’s knowledge graph on enterprise-knowledge procurement. | Microsoft 365 enterprise install base (hundreds of millions of seats); Azure channel; SharePoint and Teams distribution; Microsoft Graph as the knowledge backbone. | High — structurally symmetric play with a materially larger enterprise install base; the principal head-to-head where productivity-suite and enterprise-search budgets overlap. |
| Notion AI | AI assistance embedded inside the Notion workspace — productivity-and-docs-anchored rather than enterprise-search-first, with a strong mid-market and developer-led foothold. | Notion workspace install base; viral bottom-up adoption; partner ecosystem on the integration side. | Medium — flanking play from a workspace-anchored angle; less direct on Fortune 500 enterprise-search procurement where Glean leads, but credible on the lower-end of the customer pyramid. |
| Atlassian Rovo (Atlassian (NASDAQ: TEAM)) |
Atlassian’s enterprise AI search and agents layer across Jira, Confluence and Trello plus third-party connectors — a CRM-and-developer-tools-anchored symmetric play that ships alongside Atlassian’s existing enterprise customer base. | Atlassian enterprise install base; Jira and Confluence distribution; Atlassian Marketplace channel; third-party connector ecosystem. | High — structurally symmetric on enterprise-search-and-agents positioning with an Atlassian-anchored distribution advantage in developer-and-IT-led procurement. |
| Sana | AI assistant for enterprise knowledge and learning — European-anchored (Stockholm) with a learning-and-development heritage layered onto enterprise-search. The principal European-anchored competitor in the structurally symmetric set. | European enterprise direct sales; learning-and-development buyer-set; partnerships with regional system integrators. | Medium — geographically complementary today but a credible European flanking play; EU AI Act compliance positioning gives Sana a regulatory-anchored advantage in EU procurement. |
| Writer | Generative-AI platform for enterprise content and knowledge workflows — with a content-generation and brand-governance heritage that overlaps with Glean’s assistant surface on the productivity-and-workflow side. | Direct enterprise sales; Fortune 500 customer base anchored on marketing, comms and operations buyers; partner ecosystem on the implementation side. | Medium — partial-overlap play from a content-and-workflow angle; the principal Fortune 500 head-to-head among the symmetric horizontal-AI-applications challengers outside the platform incumbents. |
Pricing benchmark: Glean is sold on an enterprise per-seat plus consumption model with annual contracts typical for Fortune 500 deployments; the $1M+ contract segment tripled in 2025 per Glean’s own disclosure. Microsoft 365 Copilot is layered onto existing Microsoft 365 seats at a published $30 per user per month list price; Atlassian Rovo is layered onto Atlassian Cloud Premium and Enterprise subscriptions; Notion AI sits at a lower per-seat price point on top of Notion workspace seats. Sana and Writer use comparable enterprise per-seat plus consumption pricing. The competitive frame is therefore enterprise procurement and knowledge-graph-plus-connector depth rather than headline per-seat price; Glean’s structural differentiator is the breadth-of-index across 100+ SaaS sources plus the permissions-preserving knowledge graph plus the 27-country deployment footprint.
Potential Risks
The case for Glean at IM Framework 7.22 rests on the breadth-of-index across 100+ SaaS connectors and the permissions-preserving knowledge graph as the structural moat, $0 to $200M ARR in roughly four years from founding, a $150M Series F at $7.2B valuation, 1,000+ employees in 27+ countries, and Fortune 500 reference customers including Databricks, Canva, Confluent, Duolingo and T-Mobile. The case against splits into five risks of differing magnitude — with the symmetric-competitor cadence (Microsoft Copilot principal) the most active, the vertical-product framing the most structural, the regulatory load the most policy-driven, the foundation-model supplier diversification the most supplier-side, and the founder-concentration the most distinctive governance pattern in the score.
Vertical-product framing — no foundation-model layer of its own
Glean is a vertical enterprise-search-and-workflow application built on top of Anthropic, OpenAI, Cohere and Azure OpenAI foundation models — it does not own a frontier model and does not benefit from the network-effect compounding that horizontal platforms can claim. The D1 base axis (7.0 weighted mean) reflects that the durable moat is the breadth-of-index across 100+ SaaS connectors, the permissions-preserving knowledge graph, the customer-specific embeddings on enterprise data, and the 27-country deployment depth rather than model capability. The bull case is that connector breadth and enterprise-deployment depth are themselves the moat, and that the regulated-procurement dynamics of enterprise knowledge work favour vertical specialists. The bear case is that as foundation-model providers and productivity-suite incumbents (Microsoft, Atlassian) ship better out-of-the-box enterprise-search-and-agents capability, the vertical layer compresses.
Symmetric competitor pressure — Microsoft Copilot, Atlassian Rovo, Notion AI, Sana, Writer
Glean’s most direct competitive risk is from Microsoft 365 Copilot (productivity-suite-embedded with a materially larger enterprise install base and Microsoft Graph as a structurally symmetric knowledge backbone), Atlassian Rovo (Jira-and-Confluence-anchored symmetric play with developer-and-IT-led distribution advantage), Sana (European-anchored competitor with EU AI Act compliance positioning), Writer (Fortune 500 content-and-workflow flanking play) and Notion AI (workspace-anchored bottom-up flanking play). The structural risk is not that any one rival beats Glean head-to-head — the 1,000+ employee headcount, 27-country footprint and Databricks-Canva-Confluent-Duolingo-T-Mobile reference accounts are durable — but that the symmetric-competitor cadence compresses per-seat plus consumption pricing and slows the ARR trajectory below the $7.2B valuation implied path.
Regulatory exposure and EU AI Act
Glean is publicly SOC 2, ISO 27001, HIPAA and GDPR compliant per Glean’s own security disclosures — a strong compliance posture for an enterprise apps_platform vendor (the D4c sub-rubric was held at 8 in the v1.6 evidence pass on that basis). Data-residency is configurable and customer content stays in the customer environment. The principal forward risk is the EU AI Act general-purpose-AI obligations from Aug 2 2026 on the multi-model Glean stack, plus the growing regulatory load as the customer mix expands into regulated verticals on the financial-services, healthcare and government side. The bull case is that the enterprise customer mix forces compliance discipline that smaller competitors cannot match; the bear case is that any compliance incident at a regulated customer is a brand-defining event.
Foundation-model supplier diversification
Glean runs a multi-model router across Anthropic, OpenAI, Cohere and Azure OpenAI with the D4a supplier-diversity sub-rubric held at 6 in the v1.6 evidence pass on that basis. The router architecture is AWS-anchored on the infrastructure side. The asymmetric overlay is that the foundation-model layer is rapidly commoditising at the capability frontier — which is partially de-risking for a vertical aggregator like Glean (more supplier choice, falling inference cost) and partially threatening (foundation-model providers ship adjacent enterprise-search-and-agents capability directly). None of this is fatal to Glean, but it is the most structural supplier-side exposure in the score.
Founder-concentration and executive-bench depth
Glean is founder-led with Arvind Jain as the principal public voice; the founding-team bench (Jain, Vishwanath, Prahladka, Gentilcore) is unusually concentrated in ex-Google Search and Facebook engineering experience but no CRO, CFO or CTO has been publicly named as a separate appointment distinct from the founder bench at the $200M ARR scale. The D4e key-person dependency sub-rubric was held at 7 in the v1.6 evidence pass on that basis. The bull case is that the four-founder team brings deep Google Search and Facebook engineering credentials directly to the enterprise-search buyer set — an unusually credible founding team for the category. The bear case is that scaling against Fortune 500 anchor customers at $200M+ ARR without a disclosed CRO layer is a known load-bearing risk; the executive-bench appointments over the next 12 months are a material watch-item.
Recent IM Coverage
Show recent press coverage of Glean
- Jun 2025 — Glean raises $150M Series F at $7.2B valuation — Wellington Management leads as ARR crosses $100M.
- Dec 2025 — Glean crosses $200M ARR — $1M+ contract segment triples in 2025.
- Jan 2025 — Glean reaches $100M ARR — three years from launch to $100M.
- Dec 2025 — Glean hits $200M ARR as enterprise AI search platform doubles in nine months.
- 2025 — Glean company analysis — ARR trajectory, customer breakdown and Series F context.
- 2025 — Glean knowledge graph deep-dive — how the permissions layer works across 100+ SaaS connectors.
- 2026 — Glean Security Center — SOC 2, ISO 27001, HIPAA and GDPR posture.
- 2026 — Glean × Fellow integration — meetings intelligence inside Glean.
Curated feed of named-source coverage — Glean’s own press releases and security centre, named-author technology and business press (Fortune), and analyst coverage (Sacra company page, Futurum Group). Excludes paywalled article bodies of The Information, WSJ, FT and Bloomberg (headline plus free-snippet only), PR-wire reposts of the same release and unsourced AI round-up pieces.
Show the source register for the figures on this page
IM operates a primary-source-where-possible discipline. The figures above come from:
- Revenue: Glean reported $200M ARR as of December 2025 per Glean’s own press, with $0 to $100M ARR achieved in three years to January 2025 per Glean’s $100M ARR announcement and a further doubling to $200M ARR in nine months per Fortune’s coverage. IM triangulation holds the headline at $200M ARR for Dec 2025 pending a fresh disclosure.
- Customers and deal-mix: Glean discloses customers in 27+ countries with Fortune 500 reference accounts including Databricks, Canva, Confluent, Duolingo and T-Mobile per Glean’s $200M ARR announcement; the $1M+ contract segment tripled in 2025 and company-wide deployments doubled. Channel mix is direct enterprise sales plus a growing partner-integration ecosystem (Fellow meetings integration shipped 2026).
- Headcount: Glean reported 1,000+ employees as of the June 2025 Series F announcement, with LinkedIn-visible company-page data placing the company in the same range into mid-2026. Senior engineering bench is anchored on ex-Google Search and Facebook engineering experience per the founder profiles.
- Funding to date: Cumulative ~$768M raised through the June 2025 Series F at $7.2B post-money per Glean’s own Series F press release, with corroborating coverage in Fortune and Sacra’s Glean analysis. The Series F was led by Wellington Management with continued participation from Sequoia, Kleiner Perkins, Lightspeed, Altimeter Capital and DST Global.
Methodology & Disclaimer
For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.
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Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.
