Glean
Glean is an enterprise Work AI platform combining search, an assistant and agents. It plugs into more than 275 company applications, inherits each source system's permissions, and serves large organizations through a sales-led rollout.
What is Glean?
Glean is an enterprise AI platform that helps organizations find information, generate content and automate work using company knowledge as context. The problem it addresses is familiar in any large company: what people need to know sits scattered across documents, chat threads, tickets, code repositories, CRM records and dozens of internal applications that do not talk to each other.
The platform rests on three building blocks. Glean Search indexes content and context alike, weighing permissions, freshness, authorship, relationships and real activity rather than keywords alone. Glean Assistant answers questions from that corpus and references the source document behind each statement. Glean Agents go further: they retrieve information, reason over the context and act through approved tools. Agents are built in plain language with Agent Builder, then published and supervised through an Agent Library, Agent Orchestration, Agent Governance and an Agent Harness.
Underneath sits what Glean calls a System of Context, an Enterprise Graph combined with a Personal Graph, fed by a retrieval-augmented architecture that mirrors source-system permissions in real time. Nobody sees through Glean what they could not already open in the underlying tool.
The platform is deliberately model-agnostic: Glean claims access to 35+ distinct large language models through its Model Hub and AI Gateway, so a company can pick a model per use case, or change model, without re-architecting. Deployment is just as flexible, either as single-tenant SaaS hosted by Glean or inside the customer's own AWS, Azure or GCP account.
Glean was founded in 2019 by former Google search engineers, Arvind Jain (CEO, previously a co-founder of Rubrik and more than ten years at Google), T.R. Vishwanath, Piyush Prahladka and Tony Gentilcore, and is headquartered in Palo Alto, California. It reports customers in 27+ countries, more than 1,000 employees and over 200 million USD in ARR at the end of 2025, while its company story page cites more than 350 million USD in ARR and a 7.2 billion USD valuation. Named customers include Booking.com, Zillow, TIME, Ericsson, Databricks, DBS and GCash. Glean positions itself as horizontal infrastructure, not a generic chatbot layered on top of isolated data sources.
What it does
- Search across every connected company tool at once, with your existing access rights applied
- Get answers grounded in company data, with references back to the source document
- Create content anchored in your organization's own context
- Build agents in plain language with Agent Builder
- Automate multi-step work through triggers and approved actions
- Find internal experts and catch up on the context of a project
When to use Glean / When not to
A quick filter to help you decide if Glean is the right fit.
When to use Glean
- Large, multi-tool enterprises whose knowledge is scattered across documents, chat, tickets, code repositories, CRM records and internal apps
- IT and security teams that require inherited source permissions, governance controls and a trace of every query, response and action
- Support, engineering, product, sales and HR departments that lose hours hunting for internal context
- Regulated organizations in healthcare, life sciences, finance, insurance and the public sector
- Companies that need data residency in AMER, EMEA or APAC, or want to change LLM without re-architecting through the Model Hub
When not to use Glean
- Individuals and freelancers: there is no self-service sign-up and no consumer offering
- Small businesses without a procurement cycle, since pricing is quote-only and starts with a sales demo
- Anyone looking for a generic chatbot to use without enterprise context, which is exactly what Glean says it is not
- Teams hoping to bypass source-system permissions: Glean mirrors them and will not surface what you cannot already open
- Users who want unconstrained autonomous agents, as governance, guardrails and human-in-the-loop review are built in
How to use Glean
A typical end-to-end flow, from setup to results.
- Request a demonstration through the Get a Demo page: there is no self-service sign-up
- Scope the deployment with the sales team and sign a commercial Order Form
- Choose the deployment model: Glean's single-tenant cloud, or your own AWS, Azure or GCP account in the region you pick
- Connect your applications through the 275+ native connectors, MCP connectors or the Push API
- Set the content controls that decide which data is exposed to the AI
- Let Glean index the sources and mirror each system's permissions
- Roll out the access surfaces: web app, iOS and Android apps, macOS and Windows desktop apps
- Install the browser extension for Chrome, Edge, Firefox or Safari
- Enable the in-app integrations for Slack, Microsoft Teams, Zoom, Miro, GitHub, Zendesk, ServiceNow, Salesforce Service Cloud and Sigma Computing
- Embed Glean in your own products with the API, the SDKs and the ready-made UI components
Pros & Cons
Pros
- Permissions are inherited from the source systems and enforced in real time
- Answers are referenced back to the original document, so every claim can be checked
- 275+ ready-made connectors cover the usual enterprise stack
- Model independence: 35+ LLMs, switchable without re-architecting the deployment
- Hosting choice between Glean's cloud and the customer's own, with AMER, EMEA or APAC residency, AES-256 encryption at rest through a FIPS 140-2 validated module and TLS 1.2+ in transit
- An unusually complete compliance file: SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001:2023, HIPAA, TX-RAMP Level 2, stated GDPR compliance and a subprocessor list published and dated 28 July 2026
- A written no-training commitment on Customer Data, zero-day retention at model providers when Glean's key is used, and a support SLA of one business day
Cons
- No public pricing at all: the pricing URL does not resolve to a real page and the only way in is a demo request
- No free plan and no free trial announced anywhere on the site
- Enterprise-only product, with no self-service path for an individual or a small team
- The connector count is inconsistent from page to page: 250+ in the homepage menu, 275+ on the comparison and connector pages, 100+ on the llm-info page
- No list of interface or processing languages is published; only the website itself is offered in English, Japanese and French
- Several Glean Protect capabilities are still in beta, including tunable detection, triage, policy-based blocking and alignment models
- The reference legal documents are PDFs on a legal index that no navigation links to, and the Website Terms still read "Last Updated May 17, 2024" while the rest of the pack is dated 2026
Pricing & Plans
Glean publishes no pricing whatsoever. There is no pricing page, the /pricing URL returns exactly the same bytes as the homepage, and no amount, currency or tier appears anywhere in the site's HTML. There is no free plan and no free trial advertised either. The commercial model is sales-led: the prospect requests a demonstration, then contracts through an Order Form, with fees invoiced in arrears. Section 5.1 of the Terms states that fees are payable in United States dollars, or in the currency named on the Order Form, and the Glean Service Agreement mentions a soft cap of 60 chats per user per month. Optional professional-services packages are named on the legal index, namely the Outcomes Package Starter, Standard, Select, Advanced and Strategic tiers plus Growth Packages, but no price is attached to them either. Obtaining a figure therefore means contacting the sales team through the demo request form; Glean claims for its part that customers recover their investment in under six months.
Data, GDPR & hosting
A consolidated view of how Glean handles your data.
GDPR overview
Glean's legal index states that it is "GDPR compliant" and that customer personal information is maintained in accordance with the Regulation. The Privacy Statement, last updated on 1 April 2026, sets out the rights available in the EEA, the UK and Switzerland: objection, restriction, portability, withdrawal of consent and complaint to a local supervisory authority. A Data Protection Officer is named, Michael Moore of the Legal Department, and requests go to privacy@glean.com or the Privacy Department in San Francisco. Glean is certified under the EU-U.S. Data Privacy Framework, its UK extension and the Swiss-U.S. DPF, and is subject to FTC oversight; European Commission Standard Contractual Clauses and a UK Addendum cover transfers. Cooperation is declared with EU authorities, the UK ICO and the Swiss Commissioner. CCPA/CPRA and LGPD are covered too, and a corporate DPA is published. No EU representative under Article 27 is named anywhere.
Who owns the data?
Section 3.1 of the Terms, "Rights in Customer Data", is explicit: the customer or its licensors retain all right, title and interest, including every intellectual property right, in Customer Data and in any modification made while the Service runs, and that expressly covers both Input and Output. Glean retains ownership of the Service itself and its underlying technology under section 4.1. Roles are split in section 9 of the Privacy Statement: Glean is the controller for its own website, and the processor for the Solutions delivered through a customer's employer. That processing is governed by a signed DPA, with the EU Standard Contractual Clauses and a UK Addendum covering cross-border transfers.
Reuse rights
Customer Data remains the customer's to reuse as it sees fit, Output included, and Glean takes no reuse right beyond operating the Service. Clause 3.a.i of the AI Addendum states that Glean will not use Customer Data to train, re-train, improve or fine-tune any AI model, and clause 3.a.ii imposes the same prohibition contractually on model providers whenever Glean's own model key is used. Clause 3.b adds zero-day retention at those providers, except where the law or trust-and-safety obligations require otherwise, and clause 3.c commits Glean to regulatory compliance, naming the EU AI Act; the AI management system is certified ISO/IEC 42001:2023. Under section 2 of the Terms, data reaches a model only when a generative feature is explicitly used. Permissions are mirrored from the source systems, no Glean employee sees customer content, and only sanitized logs are kept. Glean does not sell personal information. One reservation matters: if the customer brings its own model key, Glean guarantees neither zero-day retention nor the no-training commitment.
Data retention & training
Hosting summary
Glean runs as an isolated single-tenant deployment, hosted either by Glean or inside the customer's own cloud account. AWS, Azure and GCP are all supported, and section 1.2 of the Terms leaves the choice of supported provider and region to the customer, so residency can be set in AMER, EMEA or APAC. No hosting country is imposed: the location is a customer decision. The published subprocessor list shows cloud and model vendors under "United States*", with a note that the customer may select a different provider and a different location. One affiliate, Glean Search Technologies India Private Limited, holds remote access from India for support, security and debugging purposes. Data is encrypted at rest with AES-256 through a FIPS 140-2 validated cryptographic module, and in transit with TLS 1.2 or above.
Things to keep in mind
Risks and trade-offs to weigh before adopting Glean.
- No public price means no budgeting is possible without going through the sales team first
- Zero-day retention at model providers only holds when Glean's own model key is used; bring your own key and you negotiate retention and training terms yourself
- Enabling a model designated as "Limited Retention" moves the contract under the Limited Retention Addendum, through deemed acceptance in the admin console
- An Indian affiliate, Glean Search Technologies India Private Limited, holds remote access for support, security and debugging
- Metadata logs containing personal data are kept for up to 30 days, and no EU Article 27 representative is designated although the publisher is established in the United States
- Two generations of legal documents coexist: the Glean Service Agreement is dated 17 May 2024, requires a GCP project for self-hosting and sets a soft cap of 60 chats per user per month, while the 2026 Terms open deployment to AWS, Azure and GCP
- Several announced security controls are still in beta, and the reference legal documents are PDFs served outside the site navigation, so check which version is in force before signing
Setup & Integrations
Technical difficulty
Setup is guided rather than self-service: a sales demonstration, then an Order Form. Glean advertises a turnkey process built on single-tenant architecture and a choice of deployment model, with no expensive service engagement or custom model training required to start. Native connectors work out of the box, but the customer picks the sources and the content controls, and self-hosting means providing and operating your own cloud account, with IAM and logs under your control. TIME reports going live in three weeks. Optional Outcomes, Growth and Retained Solution Architect packages suggest that assistance is common.
Deployment
Apps stores
Integrations
Behind Glean
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Glean.
Frequently asked questions
Does Glean publish its prices?
Is there a free plan or a free trial?
Does Glean train its models on my data?
Who owns the data and the answers Glean produces?
Which certifications does Glean hold?
Where is the data hosted?
Is a Data Processing Addendum available?
Is the list of subprocessors public?
Which applications connect to Glean, and is there an API?
On which devices can Glean be used?
Should you pick Glean?
Glean is a mature enterprise AI platform rather than an experiment: founded in 2019 by former Google search engineers, valued at 7.2 billion USD and reporting more than 350 million USD in annual recurring revenue. Its differentiation is concrete rather than rhetorical. It runs on company context instead of generic knowledge, it inherits and enforces the permissions of every source system in real time, it lets a customer choose among 35+ language models through its Model Hub, and it lets that customer decide whether the deployment lives in Glean's single-tenant cloud or inside their own AWS, Azure or GCP account, in an AMER, EMEA or APAC region.
The compliance file is one of the most complete we have reviewed on an AI tool: SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001:2023 for AI management, HIPAA, TX-RAMP Level 2, a published Data Processing Addendum, a dated list of twenty subprocessors, and a written commitment never to train on Customer Data, extended contractually to the model providers.
The main reservation is commercial transparency. Glean publishes no price at all: no pricing page, no starting amount, no free plan, no trial, and a single way in through a demonstration booked with a sales team. Budgeting before that conversation is simply impossible. The second reservation is technical: the strongest retention commitments depend on the model and the key in use. A customer who enables a model that does not meet zero-day retention, or who brings its own model key, moves into a different regime and negotiates those terms alone.
Glean is aimed squarely at large organizations with scattered knowledge, a procurement process and a compliance team. It is not built for individuals or small structures, and nothing on the site pretends otherwise.
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