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Enterprise Agents🟢No Code
G

Glean

AI-powered enterprise search and knowledge assistant. Connects all company information to provide instant, intelligent answers for employees.

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Visit Glean →
💡

In Plain English

An AI-powered search engine for your company — finds information across all your internal tools and answers questions using your company's knowledge.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Glean transforms enterprise knowledge management by creating an AI-powered unified search experience across all company systems, turning hours of information hunting into seconds of intelligent discovery.

Choose Glean if you: have 500+ employees with knowledge scattered across 10+ enterprise systems; spend significant time searching for information, experts, or previous work; need to maintain strict access controls while enabling knowledge discovery; have budget for enterprise-grade implementation ($100K+ annually). Choose alternatives if you: are a small organization (under 200 employees); use fewer than 5 primary systems; need immediate deployment without IT resources; have limited knowledge management budget; require open-source or self-hosted solutions. How Glean Works:
  1. Universal Integration: Connects to 150+ enterprise applications including Salesforce, Slack, Confluence, Google Workspace, Microsoft 365, Jira, and specialized tools
  2. Intelligent Knowledge Graph: Maps relationships between people, projects, documents, and topics across your entire information ecosystem
  3. Contextual AI Search: Provides personalized results based on user roles, current projects, and access permissions
  4. Expert Discovery: Automatically identifies subject matter experts based on document authorship, engagement, and knowledge contributions
  5. Analytics Dashboard: Reveals how knowledge flows through your organization and identifies information gaps
Enterprise Implementation Requirements:
  • Timeline: 3-6 months for full deployment with IT coordination
  • Resources: Dedicated IT team, change management, user training
  • Data Governance: Best results require consistent naming conventions and information hierarchies
  • Security Review: Comprehensive permissions mapping and access control validation
ROI Indicators:
  • 20-40% time savings on information discovery tasks
  • Reduced duplicate research and project work
  • Faster new employee onboarding through better knowledge access
  • Improved project outcomes via institutional knowledge leverage

Ideal for knowledge-intensive organizations where information discovery bottlenecks limit productivity and competitive advantage. Most effective in enterprises with mature data governance and strong change management capabilities.

🦞

Using with OpenClaw

▼

Integrate Glean through enterprise APIs and authentication. May require custom skill development for OpenClaw.

Use Case Example:

Connect OpenClaw to Glean for enterprise workflow automation, respecting security and compliance requirements.

Learn about OpenClaw →
🎨

Vibe Coding Friendly?

▼
Difficulty:advanced
Not Recommended

Enterprise tool requiring significant setup, authentication, and domain expertise.

Learn about Vibe Coding →

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Editorial Review

**Best enterprise knowledge platform for large organizations.** Glean's 150+ app integrations and AI-powered unified search eliminate information silos that plague enterprise environments. **Strengths:** Sophisticated permission handling, expert discovery, real-time knowledge graph updates, proven 20-40% time savings on information discovery. **Limitations:** High implementation costs, requires 3-6 month deployment, effectiveness depends on data governance maturity. **Bottom line:** Essential for Fortune 500 knowledge management; smaller organizations should consider simpler alternatives like Notion AI or Microsoft Viva.

Key Features

Glean Search (permission-aware unified search)+

A single search bar that queries across 100+ connected enterprise applications with personalized ranking based on user role, recent activity, and organizational graph signals. Permissions are inherited live from source systems, so results respect every existing ACL without requiring duplicate permission management.

Use Case:

Finding all information about a specific client account — emails, Salesforce records, support tickets, contract drafts, and Slack discussions — from one query, without manually checking each system.

Glean Assistant (grounded enterprise chatbot)+

A ChatGPT-style conversational AI grounded in your company's connected data, with citations back to source documents on every answer. It supports follow-up questions, document drafting, summarization, and translation, and is vendor-neutral across LLMs (OpenAI, Anthropic, Google, or self-hosted).

Use Case:

Asking 'what's our policy on parental leave in Germany?' and getting a cited answer drawn from the actual HR handbook in Confluence, rather than a generic LLM response.

Glean Agents (no-code/low-code workflow builder)+

A visual canvas plus SDK for building AI agents that automate multi-step internal workflows, with pre-built templates for sales research, ticket triage, code review, onboarding, and policy Q&A. Agents can call tools, read/write to source systems, and chain reasoning steps.

Use Case:

An IT triage agent that reads incoming Zendesk tickets, classifies them, drafts a response from the internal runbook, and either auto-resolves or routes to the right on-call engineer.

Knowledge Graph and Expert Discovery+

Glean builds a real-time graph of people, documents, projects, and topics across the organization, automatically surfacing subject matter experts based on document authorship, edits, comments, and engagement patterns. The graph powers personalized ranking and recommendation across Search and Assistant.

Use Case:

When a new project on Kubernetes migration kicks off, Glean surfaces the three engineers who've authored the most internal docs and Slack threads on the topic — without anyone maintaining an expertise directory.

Glean Web SDK and API+

Developer tools for embedding Glean Search and Assistant into custom internal applications, intranets, or product surfaces, with full support for SSO, ACL passthrough, and event tracking. Enables companies to bring Glean's retrieval into bespoke workflows beyond the default Glean UI.

Use Case:

A retail company embeds Glean's search bar into its internal store-operations portal, so store managers can query corporate policies, training materials, and SKU data without switching apps.

Pricing Plans

Enterprise pricing (custom, typically $40-50/user/month at scale; minimum seat commitments apply)

View Details →
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Glean?

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Getting Started with Glean

  1. 1**Assess organizational readiness**: Evaluate if you have 500+ employees, 10+ enterprise systems, and dedicated IT resources for 3-6 month implementation
  2. 2**Request enterprise demo**: Contact Glean sales for customized demonstration using your actual enterprise applications and data structure
  3. 3**Conduct data governance audit**: Review information architecture, access controls, and data quality across systems before implementation planning
  4. 4**Identify pilot departments**: Select 50-100 users from knowledge-intensive teams (legal, consulting, R&D) for initial deployment and feedback
  5. 5**Plan change management**: Develop user training, adoption incentives, and success metrics before full organizational rollout
Ready to start? Try Glean →

Best Use Cases

🎯

Fortune 500 companies with fragmented knowledge across 20+ enterprise systems: Large organizations where employees spend 30+ minutes daily searching across Slack, SharePoint, Salesforce, Confluence, Jira, and other tools — Glean's 100+ native connectors and unified ranking dramatically reduce time-to-answer and eliminate knowledge silos

⚡

Professional services firms managing client expertise and project knowledge: Consulting, accounting, and advisory firms that need to quickly surface previous client deliverables, identify subject matter experts, and reuse institutional knowledge across engagements — particularly valuable for proposal writing, staffing, and pitch development

🔧

High-growth tech companies with rapid onboarding needs: Companies like Databricks, Confluent, and Duolingo that hire hundreds of employees per year and need new hires productive within weeks — Glean Assistant lets new employees self-serve answers to onboarding questions without spamming Slack channels

🚀

Engineering organizations with sprawling documentation and code: R&D teams with code in GitHub, designs in Figma, specs in Notion or Confluence, and tickets in Jira — Glean's code-aware search and agents can answer 'how does this service work?' or 'who owns this repo?' across the full stack

💡

Customer support and IT helpdesk teams deflecting repetitive tickets: Support orgs that want agents to draft responses grounded in internal runbooks, KB articles, and past tickets — Glean Agents can triage, summarize, and draft replies, reducing average handle time on Zendesk or ServiceNow

🔄

Sales teams preparing for account meetings: Revenue orgs that need a single pane combining Salesforce account data, recent emails, support history, and product usage — Glean's account-research agents compile briefs in seconds rather than the 30-60 minutes reps spend manually

Integration Ecosystem

12 integrations

Glean works with these platforms and services:

🧠 LLM Providers
OpenAI
☁️ Cloud Platforms
AWSGCPAzure
💬 Communication
SlackTeamsEmail
📇 CRM
Salesforce
🔐 Auth & Identity
Okta
🔗 Other
GitHubNotionJira
View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Glean doesn't handle well:

  • ⚠Not available to organizations under ~200 employees due to enterprise-only pricing, minimum seat commitments, and implementation complexity
  • ⚠Quality of answers and search results is heavily dependent on the cleanliness, recency, and permissioning hygiene of underlying source systems
  • ⚠Total cost of ownership (license, implementation, tuning) can exceed $500K annually, which is hard to justify for organizations with simpler information environments
  • ⚠Some specialized enterprise systems and on-premise applications may require custom connector development, adding scope and time to deployment
  • ⚠Realizing full ROI requires sustained user adoption and behavioral change — without active enablement, employees often default to old search habits within existing tools

Pros & Cons

✓ Pros

  • ✓Integrates with 100+ enterprise applications including Slack, Salesforce, Jira, Confluence, GitHub, Google Workspace, Microsoft 365, ServiceNow, and Zendesk — broader native connector coverage than most competitors in our directory
  • ✓Permission-aware retrieval inherits source-system ACLs in real time, so users only see results they're already authorized to access — critical for regulated industries and confidential data
  • ✓Three integrated products in one platform: enterprise Search, an AI Assistant, and a no-code/low-code Agents builder, reducing the need to stitch together separate vendors
  • ✓Strong customer base of 100+ enterprises including Reddit, Sony Electronics, Pixar, Databricks, Duolingo, and Confluent, providing social proof and a mature product roadmap
  • ✓Founded in 2019 by ex-Google search engineers, with deep retrieval expertise reflected in ranking quality — a meaningful advantage over generic RAG implementations
  • ✓Vendor-neutral on LLMs: customers can route to OpenAI, Anthropic, Google, or self-hosted models, avoiding lock-in to any single foundation model provider

✗ Cons

  • ✗Enterprise-only pricing with no public tiers, free trial, or self-serve option — small teams and individuals are effectively excluded
  • ✗Implementation typically takes 3-6 months and requires dedicated IT, security, and change-management resources, making it a heavier lift than chatbot-style alternatives
  • ✗Search and answer quality is bottlenecked by the cleanliness of underlying source data; organizations with poor document hygiene see weaker results
  • ✗Agent-building tools, while no-code, still require thoughtful prompt engineering and workflow design — not truly turnkey for non-technical users
  • ✗Total cost of ownership (license + implementation + ongoing tuning) can exceed $500K annually for large deployments, putting it out of reach for many mid-market firms

Frequently Asked Questions

How does Glean handle security and access permissions across multiple enterprise systems?+

Glean enforces permission-aware retrieval by inheriting the access control lists (ACLs) from each connected system in real time, so users only ever see content they're already authorized to access in the source application. The platform is SOC 2 Type II certified, GDPR and HIPAA compliant, and operates under a zero-data-retention agreement with its LLM providers, meaning your prompts and documents are never used for model training. Implementation requires a comprehensive security review and permissions mapping, which can surface inconsistencies in existing access policies that may need cleanup. For highly regulated industries, Glean also offers options for private deployments and customer-managed encryption keys.

What's involved in implementing Glean across a large enterprise?+

A typical Glean rollout takes 3-6 months and involves connecting to 10-30+ source systems, configuring permissions, training users, and tuning ranking based on organizational usage patterns. Glean assigns a dedicated customer success engineer, and most deployments require an internal project owner plus IT and security stakeholders. Crawling and indexing happens incrementally — search is usable within weeks, but full agent and assistant value typically arrives once 80%+ of high-value sources are connected. Organizations with executive sponsorship and clear change-management plans see significantly faster time-to-value.

How is Glean priced, and what does it actually cost?+

Glean uses enterprise-only contract pricing with no public tiers or free trial, and pricing is typically structured per user per month with minimum seat commitments. Industry reporting and customer disclosures put list pricing roughly in the $40-50 per user per month range at scale, though discounts apply for larger commitments. On top of licensing, customers should budget for implementation services, ongoing tuning, and source-system connector overhead — total first-year cost for a 1,000-seat deployment commonly lands in the $500K-$1M range. Glean does not currently offer a self-serve or SMB-tier option.

How does Glean compare to Microsoft Copilot for Microsoft 365?+

Microsoft Copilot is the strongest option if your stack is almost entirely Microsoft 365 (Outlook, Teams, SharePoint, OneDrive) because it's deeply embedded in those applications and bundled with existing Microsoft licensing. Glean is the better choice when knowledge is spread across heterogeneous SaaS — Slack, Salesforce, Jira, Confluence, Notion, Zendesk, GitHub, and others — because it offers 100+ native connectors and a single search surface across all of them. Glean also has a more mature agent-building framework and a vendor-neutral LLM stack, while Copilot is tied to OpenAI models running in Azure.

What kind of agents can companies build on Glean, and do they require engineering resources?+

Glean Agents supports both no-code workflows (built in a visual canvas) and code-based agents using Glean's SDK and API, covering use cases like sales account research, IT ticket triage, customer support drafting, code review, onboarding assistants, and HR policy Q&A. Non-engineers can build useful agents without writing code, but achieving production-quality reliability typically benefits from prompt engineering and workflow design expertise. Glean ships with a library of pre-built agent templates, and customers like Reddit and Duolingo have publicly described deploying dozens of internal agents within months of go-live.

🔒 Security & Compliance

🛡️ SOC2 Compliant
✅
SOC2
Yes
✅
GDPR
Yes
—
HIPAA
Unknown
✅
SSO
Yes
❌
Self-Hosted
No
❌
On-Prem
No
✅
RBAC
Yes
✅
Audit Log
Yes
✅
API Key Auth
Yes
❌
Open Source
No
✅
Encryption at Rest
Yes
✅
Encryption in Transit
Yes
Data Retention: configurable
Data Residency: US
📋 Privacy Policy →🛡️ Security Page →
🦞

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What's New in 2026

Through 2025 and into 2026, Glean has expanded its Agents product with a no-code agent builder, a marketplace of pre-built agent templates, and deeper SDK/API support for embedding Glean into custom applications. The company has continued growing its connector library past 100+ native integrations, added vendor-neutral LLM routing across OpenAI, Anthropic, and Google models, and reported a $4.6B valuation following its 2024 funding round, with continued enterprise customer expansion into 2026.

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Quick Info

Category

Enterprise Agents

Website

glean.com
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