Glean Startup Profile

THE CODEW · STARTUP PROFILE

Glean

Enterprise AI search and knowledge platform that helps employees find information across workplace apps, documents, and data

Primary Category: Enterprise AI and Productivity · Status: Private · Last Verified: October 2026

1. Company Overview

  • Company name: Glean
  • Official website: glean.com
  • Founding year: 2019
  • Headquarters: Palo Alto / San Francisco Bay Area, California, United States
  • Current operating status: Private. Serving enterprise customers with AI-powered workplace search and knowledge tools; significant growth-stage funding.
  • One-sentence description: Glean provides an AI-powered enterprise search and knowledge platform that connects to workplace applications and data sources so employees can find relevant information quickly and securely.

2. What the Startup Does

  • Core problem: Enterprise knowledge is scattered across dozens of applications (email, chat, documents, wikis, CRM, code repositories, and more). Employees waste time searching or asking colleagues for information that already exists inside the company.
  • Product/service: An AI search and knowledge assistant that indexes and understands content across connected workplace tools, then surfaces relevant answers, documents, people, and context through a unified search and generative AI interface.
  • Target customers: Mid-market and large enterprises, especially knowledge-worker organizations with complex tool stacks and significant internal information sprawl.
  • Value proposition: Faster, more accurate access to company knowledge while respecting permissions and security boundaries; reduces time spent searching and improves decision-making and onboarding.

3. Technology and Products

  • Main products and platforms:
    • Glean Search — unified enterprise search across connected apps and data sources
    • AI-powered Q&A and generative assistants grounded in company knowledge
    • Connectors and integrations to major workplace platforms (e.g., Slack, Google Workspace, Microsoft 365, Salesforce, Confluence, GitHub, and others)
    • Permissions-aware retrieval that respects existing access controls
  • Technical approach: Enterprise search infrastructure combined with large language models and retrieval-augmented generation (RAG). Strong emphasis on security, permissioning, and understanding of organizational context and people graphs.
  • Focus tags: Enterprise AI and Productivity (primary); Artificial Intelligence and AI Infrastructure; Developer Tools / Knowledge Management
  • Product availability and maturity: Commercially available and used by a growing number of enterprise customers. Continuous expansion of connectors, AI capabilities, and administrative controls.

4. Founders and Leadership

  • Arvind Jain — Co-founder & Chief Executive Officer. Previously held senior engineering and product roles at Google (including work related to search and enterprise). Founder Profile to be published.
  • Tony Gentilcore — Co-founder. Engineering background; previously at Google.
  • Piyush Mangalick — Co-founder. Engineering background; previously at Google and other technology companies.

Individual Founder Profiles will be linked as they are published, beginning with Arvind Jain.

5. Business Model

  • Model type: Enterprise SaaS subscription, typically priced per user or by organization size and usage. Revenue from software licenses and ongoing platform services.
  • Target customer segments: Mid-to-large enterprises with distributed knowledge workers and complex software stacks.
  • Distribution and go-to-market: Direct enterprise sales, product-led expansion within accounts, and partnerships. Strong focus on security, compliance, and IT/admin controls to meet enterprise buying requirements.

6. Funding and Investors

Only verified or strongly corroborated figures are shown. Historical rounds are preserved. Later reported activity is labeled accordingly.

  • Current stage: Growth-stage / late-stage private.
  • Major reported funding:
    • Multiple rounds from seed through late-stage growth capital. Total capital raised reported in the high hundreds of millions to over $1 billion range across sources by 2025–2026.
    • Notable investors have included Sequoia Capital, Kleiner Perkins, Lightspeed Venture Partners, SoftBank Vision Fund, and other prominent growth and venture firms (exact participation varies by round).
  • Valuation markers: Press and secondary reporting have placed Glean’s valuation in the multi-billion-dollar range following major growth rounds (commonly cited figures in the mid-to-high single-digit to low double-digit billions in later 2024–2025 coverage). Treat specific numbers as reported pending primary confirmation.
  • Links to Term Sheet coverage will be added as articles are published.

7. Market and Competition

  • Primary industry / sub-industry: Enterprise AI — workplace search, knowledge management, and AI assistants.
  • Competitors and alternatives: Microsoft Copilot / Microsoft Search, Google Cloud enterprise search offerings, Elastic, Guru, Notion AI, Perplexity Enterprise, and other vertical or horizontal knowledge/AI assistant products. Also competing with the “search within each app” status quo.
  • Differentiation: Deep, permission-aware connectivity across a wide range of workplace tools; focus on enterprise-grade security and relevance; strong emphasis on understanding people, teams, and organizational context in addition to documents.
  • Relevant market developments: Rapid adoption of generative AI in the workplace; demand for secure, grounded enterprise AI that does not expose sensitive data; consolidation and expansion of AI assistant offerings by both startups and large platform vendors.

8. Growth and Milestones

  • 2019 — Company founded by former Google engineers with a focus on enterprise search and knowledge discovery.
  • Product development and early customer adoption centered on unified search across workplace applications.
  • Expansion into generative AI capabilities (Q&A and assistants grounded in company data) as large language models matured.
  • Significant growth-stage funding rounds and expansion of enterprise customer base.
  • Continued investment in connectors, security features, and AI relevance for large organizations.

9. The CODEW Coverage

This profile is the reference record. Editorial features link back here.

10. Sources and Last Verified

  • Glean official website and public product documentation
  • Contemporaneous reporting on funding rounds, customer adoption, and product direction from multiple independent outlets
  • Founding and leadership details corroborated across independent sources

Verification labels: Confirmed / Corroborated for founding, core product direction, leadership, and the existence of major funding events. Specific valuation and total-capital figures are presented as reported where primary disclosures are limited.
Last verified: October 2026.

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Glean Startup Profile Glean Startup Profile Reviewed by Erwin Castro on Tuesday, October 20, 2026 Rating: 5

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