Glean
Glean is an enterprise-level AI platform that connects internal corporate data sources such as Slack, Drive, and Jira. It offers enterprise search, knowledge Q&A, and orchestrable agents, with an emphasis on permission awareness and security compliance.
Updated: 2026-10-26
What is Glean?
Glean is an AI platform for enterprises, officially positioned as "Enterprise AI that works". It integrates enterprise search, knowledge Q&A and orchestrable agents in one place, with its core selling point being "making AI truly usable at enterprise scale". It does not directly produce content but connects the tools that enterprises are already using—the official data sources listed on its website include Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce and others, enabling models to answer questions and take actions based on the enterprise's own context. Unlike general-purpose chatbots, Glean emphasizes three aspects: context (integration across enterprise tools), intelligence (selecting the right models and reasoning depth for different tasks), and permissions (built-in security and permission-aware access). It targets medium and large enterprises that have accumulated a large amount of fragmented knowledge but struggle with retrieval and reuse.
Who is it for?
- Large and medium-sized enterprises with knowledge scattered across multiple systems such as Slack, Drive, and Jira, making retrieval difficult
- Teams that want to use AI assistants to answer internal questions and reduce the need to repeatedly search for information
- Organizations with high requirements for data security and permission isolation, who need answers to be explainable and traceable
- IT and operations teams that want to automate departmental workflows with agents but are unwilling to let the modelsdecoupled from the enterprise context
- Companies that have deployed multiple SaaS solutions and want to integrate AI into their existing data rather than starting from scratch
Key features
6Enterprise Search
Connects work applications and data sources, enabling search across documents and knowledge objects to unify the retrieval of information scattered across various systems.
Knowledge Q&A Assistant
Answers questions based on the enterprise's own data. The official claim is that it transforms company knowledge into actions, rather than giving generic, one-size-fits-all responses.
Permission-Aware Access
Built-in security and permission-aware access control, and the company states that answers are secure, explainable, and compliant with enterprise permission boundaries.
AI Agents
Provides deployable agent capabilities, and the official website showcases numerous agents for automating departmental workflows.
Flexible Selection of Multiple Models
Flexibly adapt to different tasks at the model and inference level, avoiding the cost and performance imbalance of a single model.
Department-level Implementation
The official website lists implementation cases for departments such as R&D, sales, customer service, HR, and operations, emphasizing high adoption rates.
How to use Glean
- Before an enterprise introduces Glean, it is recommended to first sort out the data sources to be connected and the permission boundaries.
- Prioritize connecting several systems that the team uses frequently and have the highest knowledge value, so as to avoid search noise caused by rolling out all data sources at once.
- As it emphasizes permission awareness, when connecting, the visibility scope of data of each department should be confirmed simultaneously to prevent unauthorized exposure of sensitive information.
- It is easier to achieve results by using the agent for clear departmental processes (such as customer service knowledge response and sales material summary) than for general use.
- Glean's capabilities, the number of connectable applications and pricing will evolve with versions.
- Before evaluation and signing, it is recommended that enterprises refer to the latest product and security instructions on the official website, and pay attention to the official launch cycle and governance methods.
Traffic & popularity
Data month Sep 2026
Glean receives about 1.5M visits per month and ranks #39,322 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct80.4%
- Referrals7.2%
- Search6.8%
- Mail2.5%
- Social2.1%
- Other0.9%
Top countries
- United States56.5%
- India10.6%
- United Kingdom5.7%
- Australia4.9%
- El Salvador1.7%
Estimated from third-party traffic data.
In these collections
Similar tools
Read AIRead AI is an AI efficiency assistant that spans across meetings, emails, messages and documents. It performs real-time transcription and automatically generates summaries and action items. It also supports unified search for answers across all work content, enabling teams to synchronize information at any time.
Memo AIAn AI knowledge workspace that can upload documents, videos, websites and text, supports source-based citation Q&A, and generates flashcards, notes, practice tests, mind maps and guided explanations from the same materials.
TextCortexEnterprise-level AI agent infrastructure helps enterprises safely deploy and govern AI agents on their own data. The customer effectiveness displayed on the official website includes indicators such as 2.4 million uses, $550,000 in savings, and a 75% improvement in efficiency.
DingTalk AIAlibaba DingTalk's AI capability portal launched for enterprise office integrates intelligent assistants, document writing, meeting minutes, knowledge Q&A and process automation into existing collaboration and approval workflows, is available on multiple devices, and collaborates with ecosystems such as Alibaba Cloud and Tongyi.
SanaSana is the enterprise AI platform of Sana Labs. It integrates AI into corporate applications, knowledge and culture, and is used for knowledge search, automated task execution, and document analysis.
DustAn enterprise-oriented human-machine collaborative AI platform, which, according to the official, can connect the internal knowledge, tools and teams of the company, gather context across systems to create and share Agents, and support model switching by task and centralized governance.