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Glean: Enterprise AI Work Assistant Profile

Glean is an enterprise AI platform that solves the problem of organizational knowledge being scattered across dozens of applications. By connecting to Slack, Confluence, Google Drive, Salesforce, Jira, GitHub, and 100+ other enterprise tools, Glean builds a comprehensive index of a company's institutional knowledge and makes it accessible through an AI assistant that can answer questions, summarize information, and take actions across those systems.

Browse other enterprise AI platforms in the AI agent tools directory or see how Glean compares in the best enterprise AI agent solutions roundup.

Overview#

Glean was founded in 2019 by former Google Search engineers who recognized that enterprise search was fundamentally broken. Employees routinely waste significant time searching for information that exists somewhere in their company's systems — just not in a place they know to look. The company spent its first years building deep connector infrastructure and a search quality engine, then layered AI-generated answers on top of that foundation when LLMs became capable enough.

The timing proved fortuitous. When enterprise AI assistants became a market priority in 2023–2024, Glean had already solved the data connectivity problem that made AI assistants useful for real work scenarios. Companies like Databricks, Duolingo, Okta, and Broadcom deployed Glean enterprise-wide.

How Glean Works#

Connector Infrastructure#

Glean connects to company applications through purpose-built connectors that handle:

Authentication: OAuth, service account credentials, API keys depending on the application
Incremental indexing: Updates are crawled continuously, keeping the index current without full re-indexing
Permission propagation: If a document is restricted to certain people in Confluence, Glean respects those permissions when determining who can see it in search results
Content extraction: Structured extraction of document content, metadata, and relationships

The permission-aware architecture is critical for enterprise trust. Employees searching Glean see only results they have permission to view in the underlying systems. This is not a cosmetic filter — the search index itself is permission-aware.

AI Work Assistant#

Glean's AI assistant interface (called "Glean Chat" in the product) allows employees to ask questions in natural language and receive answers grounded in the company's actual knowledge:

"What is our current vacation policy?" → Searches HR systems and summarizes the relevant policy documents
"What did the Q3 board presentation say about our growth targets?" → Searches the presentation and extracts the relevant data
"Who on the engineering team knows the most about our payment integration?" → Identifies people based on their work content and communications

The assistant cites sources for every answer, linking directly to the original documents. This citation requirement is a deliberate design choice that builds trust — employees can verify answers rather than having to trust the AI blindly.

Glean Agents#

Beyond answering questions, Glean supports AI agents that can take actions across connected systems:

Ticket agents: Automatically categorize, route, and draft responses to support or IT tickets
Sales intelligence agents: Research prospects by synthesizing information from CRM, email, and web sources
Onboarding agents: Guide new employees through getting access to systems and finding relevant documentation
Meeting preparation agents: Summarize relevant context before meetings based on attendees and topics

These agents run on Glean's infrastructure and inherit the same permission model as search — they can only access information users are allowed to see.

Glean Apps (Custom Assistants)#

Administrators can create custom AI assistants scoped to specific use cases:

An IT help desk assistant that only searches IT documentation and ticketing systems
A sales enablement assistant that accesses CRM data, product documentation, and competitive intelligence
A legal contract assistant that searches executed agreements and playbooks

Custom apps allow enterprises to deploy focused AI assistants that don't expose employees to irrelevant context from other departments.

Key Features#

100+ native connectors: Direct integrations with the most common enterprise applications without custom connector development.

Permission-aware search: The only results returned are results the querying user is permitted to access.

Hallucination-resistant design: Answers are grounded in specific company documents with citations, not generated from model training knowledge.

Cross-application synthesis: An answer can draw on information from five different systems, synthesizing context no single system contains.

Expertise discovery: Identify which employees have worked on specific topics based on their content and communications.

Analytics for IT and knowledge managers: Understand what employees are searching for, where knowledge gaps exist, and which departments have poor documentation quality.

Pricing#

Glean is priced for enterprise and does not publish public pricing. The model is typically per-user per-year, with discounts for large deployments. Implementation and connector configuration typically involves professional services engagement.

The total cost of ownership includes:

Platform licensing (per user)
Implementation and connector configuration
Ongoing support

For organizations with 500+ employees, the ROI case typically centers on productivity gains from faster information access and reduced employee time spent searching.

Strengths#

Best-in-class connector breadth: Glean's 100+ connectors represent years of enterprise integration work. Few competitors have comparable coverage.

Permission model is genuinely enterprise-grade: Many AI tools handle permissions superficially. Glean's permission propagation is robust enough to satisfy enterprise legal and compliance review.

Grounded answers with citations: The citation requirement makes Glean more trustworthy for high-stakes enterprise use cases than tools that generate answers without source attribution.

Non-AI search quality is excellent: Glean's keyword and semantic search quality stands on its own as a valuable enterprise search product, making the AI features incremental improvements to a working system.

Limitations#

Enterprise-only pricing: Glean is not accessible for small teams or individuals. The sales-driven pricing process is appropriate for enterprise but creates barriers for smaller organizations.

Requires connectivity setup: The value proposition depends on successfully connecting Glean to a company's actual systems. The initial connector configuration investment is significant.

Not a development tool: Glean is a work assistant for employees, not a framework for developers building AI agents. Teams looking to programmatically build custom agents need a different tool.

Ideal Use Cases#

Enterprise-wide knowledge access: Making institutional knowledge searchable and accessible across a company of 500+ employees.
IT help desk automation: Enabling IT agents to find answers from documentation without escalating to senior engineers.
Sales intelligence: Helping sales teams quickly surface relevant customer, competitor, and product information.
Employee onboarding: Giving new employees a comprehensive resource for navigating company systems and processes.

How It Compares#

Glean vs Microsoft Copilot for M365: Copilot for M365 is deeply integrated with the Microsoft 365 ecosystem. Glean is best for organizations using diverse non-Microsoft tools. Many enterprises use both — Copilot for Office productivity, Glean for cross-system enterprise search.

Glean vs Notion AI: Notion AI is excellent for teams heavily using Notion. Glean handles the multi-application reality of most enterprises where knowledge is scattered across dozens of tools.

Glean vs building with OpenAI: Teams sometimes consider building a custom RAG system with LLMs. For knowledge that lives in standard enterprise SaaS applications, Glean's connector infrastructure is years ahead of what a custom build would achieve quickly.

Bottom Line#

Glean has established itself as the enterprise knowledge search and AI assistant category leader through deep investment in connector infrastructure and permission handling. For large organizations where the "information scattered everywhere" problem is a real productivity drag, Glean addresses the problem more completely than alternatives.

Best for: Mid-to-large enterprises (500+ employees) with knowledge scattered across many applications who need a permission-aware AI assistant that grounds answers in company knowledge.

Frequently Asked Questions#

Does Glean train on company data? No. Glean does not use customer data to train AI models. The system retrieves and presents information from your connected systems; it does not learn from your data or share it with other customers.

How long does Glean implementation take? Initial deployment with core connectors typically takes 4–8 weeks. Full connector configuration for all company systems may take 3–6 months depending on the number of systems and complexity of permissions.

Can Glean integrate with our existing SSO? Yes. Glean supports SAML-based SSO through major identity providers including Okta, Azure AD, and Google Workspace.

What LLM does Glean use for its AI assistant? Glean uses multiple LLMs and has partnerships with major providers. The specific model configuration can vary by deployment type and enterprise requirements.