Glean
by Glean Technologies
Permission-aware enterprise search and agents over every system a company already runs
Glean is an enterprise AI platform that indexes the systems a company already uses — Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce and around a hundred more — into a permission-aware knowledge graph, then serves search, an assistant and no-code agents on top of it. It is bought by large enterprises whose knowledge is scattered across too many tools to find.
Glean is a horizontal enterprise AI platform built on a permission-aware index of a company's own systems. Connectors pull content from Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce and more than a hundred other SaaS applications and data repositories, and the resulting knowledge graph enforces each source system's existing access controls at query time, so a search never surfaces a document the person asking is not entitled to see. On top of that index sit four product surfaces: Search, an Assistant that answers questions with citations, no-code and natural-language Agent builders, and Glean Agents for automating multi-step work. The platform is model-flexible rather than tied to one provider, supporting 35 or more LLMs, and the company argues its pre-connected enterprise context cuts token consumption roughly 30% against off-the-shelf MCP tooling by not re-fetching context the index already holds. Glean was founded in January 2019 by Arvind Jain, Vishwanath T R, Tony Gentilcore and Piyush Prahladka, and is headquartered in Palo Alto. It raised a $150 million Series F on 10 June 2025 at a $7.2 billion valuation, led by Wellington Management with Khosla Ventures, Bicycle Capital, Geodesic Capital and Archerman Capital joining alongside existing backers including Sequoia, Kleiner Perkins, Lightspeed, ICONIQ, IVP, General Catalyst, Coatue, DST Global, Altimeter and Sapphire Ventures. At that round the company reported passing $100 million ARR, 850+ employees and more than 100 million agent actions annually. Named deployments include Booking.com, Zillow, Ericsson, Intuit, Samsung, Rivian, Reddit and TIME; Ericsson reports over 2,700 agents built internally and Zillow over 3,400.
A CIO or head of digital workplace at a company of several thousand employees whose institutional knowledge is fragmented across a dozen SaaS tools and whose staff waste real hours re-finding it.
One search box and one assistant that answer from every connected system while respecting each system's existing permissions, so nothing has to be re-permissioned to make it findable.
At a Glance
- Category
- Enterprise Search & Knowledge
- Pricing
- Contact for pricing, Subscription
- Target Market
- CIOs, CTOs, Chief Digital Officers, Heads of IT, Knowledge Management Leaders
- Deployment
- Cloud-first, API-based
- Founded
- 2019
- Headquarters
- Palo Alto, United States
- Team Size
- 500+
- Customers
- Named customers include Booking.com, Zillow, Ericsson, Intuit, Samsung, Rivian, Reddit and TIME
Key Features
- ✓Permission-aware knowledge graph
Indexes connected systems while inheriting each source's access controls, so results never expose documents a user cannot already open.
- ✓100+ enterprise connectors
Pre-built integrations for Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce and around a hundred more SaaS and data systems.
- ✓Glean Assistant
Answers natural-language questions with citations drawn from internal content rather than from a model's general training data.
- ✓No-code agent builder
Lets non-engineers describe an agent in natural language and deploy it against company context — Zillow reports 3,400+ agents built.
- ✓Model flexibility
Supports 35+ large language models, so a buyer is not locked to one provider's roadmap or pricing as the market shifts.
- ✓Context efficiency
Serving pre-connected enterprise context reportedly cuts token usage around 30% versus off-the-shelf MCP tooling that re-fetches each time.
- ✓Enterprise compliance posture
Holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR and TX-RAMP Level 2 attestations for regulated deployments.
Capabilities
Use Cases
- •Cross-system enterprise search
One query returns the relevant document, ticket and Slack thread together instead of three separate searches in three tools.
- •Employee onboarding and self-service IT
New starters and staff get cited answers from internal policy and runbooks without opening a helpdesk ticket.
- •Sales and customer-facing research
Assemble account history from CRM, support tickets and internal notes before a customer conversation in one step.
- •Engineering context recovery
Trace why a design decision was made by connecting the ticket, the pull request and the discussion that produced it.
- •Departmental agents for repetitive work
Business teams build agents that draft reports or route requests against live company data without engineering involvement.
Ideal For
Best For
- ✓Large enterprises whose knowledge is split across ten or more SaaS systems with no single search surface
- ✓Employee onboarding and internal support, where the same questions are answered repeatedly across teams
- ✓Building internal agents on top of company context without writing retrieval or permissions code
- ✓Engineering and support teams that need to trace why a decision was made across tickets, docs and chat
- ✓Organisations standardising on one AI assistant rather than a separate copilot inside every SaaS tool
Not Ideal For
- ✗Small and mid-sized companies — third-party buyer reports put the practical entry point around 100 seats and a $50,000-$60,000 annual minimum, which does not amortise below a few hundred employees
- ✗Teams with only two or three data sources, where the native search in those tools covers most of the need at no extra cost
- ✗Organisations with messy or over-permissive source-system access controls, since Glean faithfully inherits them and will make existing over-sharing far more visible
- ✗Buyers who need published, predictable pricing — Glean does not publish rates, and every public figure is a third-party estimate
Integrations
Deployment
Market & Ratings
Named customers include Booking.com, Zillow, Ericsson, Intuit, Samsung, Rivian, Reddit and TIME
Market Analysis
Pros
- ✓Permission inheritance is the hard part of enterprise search and Glean does it across a hundred-plus connectors out of the box
- ✓Genuinely horizontal — one assistant covers every connected system rather than one AI feature per SaaS tool
- ✓Model flexibility across 35+ LLMs avoids lock-in to a single provider's pricing and roadmap
- ✓Strong compliance coverage including SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR and TX-RAMP Level 2
- ✓Deep reference deployments — Ericsson reports 2,700+ internally built agents and Zillow 3,400+
Cons
- ✗Cost is the consistent buyer objection: reported entry points near $50-$75 per user per month with a ~100-seat minimum put a small deployment above $60,000 a year before services, and finance teams are reported to push back on whether every seat earns it
- ✗Total opacity on pricing — Glean publishes nothing, so every public figure circulating is a third-party estimate, several of them published by competitors
- ✗Connecting dozens of source systems is a substantial implementation project, and reviewers report tricky setup and, in some cases, surfacing of content that source systems had over-shared
- ✗The assistant still inherits ordinary LLM failure modes including hallucinated answers, so outputs need the cited sources checked
- ✗Extremely crowded market — practitioners describe enterprise search as 'a pretty crowded space' with Coveo, Sinequa, Lucidworks and now Microsoft, Notion and Slack all competing for the same budget
Pricing
Enterprise (custom)
Contact for pricing
- ✓Permission-aware search across 100+ connectors
- ✓Glean Assistant
- ✓Agent builders and Glean Agents
- ✓SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, TX-RAMP Level 2
- ✓Seat-based annual contract with minimum commitment
Glean publishes no pricing at all. Third-party buyer estimates — which the sources themselves label as estimates, and several of which come from competitors — put the base search licence around $45-$65 per user per month with roughly $15 more per user for advanced AI features, a practical minimum near 100 seats and a $50,000-$60,000 annual floor, plus a support fee around 10% of contract value. Reported large deployments run into six figures annually. Treat every one of those figures as an unverified estimate and get a quote.
Security & Compliance
Connect
Sources
This page was written from 6 sources, 3 on domains other than glean.com.
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