"Work AI that Works"
Glean is an enterprise work AI platform that brings together search, assistants, and agents across enterprise data.
The platform connects to business applications, documents, chats, and tickets, respects existing permissions, and supports features such as enterprise search, generative answers, data analysis, deep research, and agentic automation. It is clearly geared toward enterprises rather than consumer self-service.
Glean
Work AI that Works
Location: USA ⓘ Publicly, Glean lists 260 Sheridan Ave, Suite 300, Palo Alto, CA 94306, United States on its legal/footer pages; the Privacy Policy additionally lists 634 2nd Street, San Francisco, CA 94107, United States for data protection inquiries.
Glean Enterprise Flex Seat-based licensing combined with pooled FlexCredits for advanced AI features; includes platform capabilities and usage-based premium features. Other FlexCredits / Usage-based Features Advanced features such as Thinking Mode, Deep Research, Data Analysis, Canvas, image understanding, and other features may consume credits.
APIs / Developer Platform / MCP APIs for Search, Chat, and Agents; integrations with Cursor, Claude Code, Copilot, and MCP hosts.
Target audience
Glean is typically aimed at companies with many distributed knowledge sources and a mature SaaS landscape. Typical user groups include IT, Engineering, Sales, Marketing, Support, People/HR, and Operations, as well as executives who want to find knowledge faster, create content, or automate recurring processes. Glean is particularly relevant where information is scattered across tools such as Google Workspace, Microsoft 365, Slack, Salesforce, Confluence, ticketing systems, and other business applications, while permissions must still be strictly enforced.
Outstanding features
What stands out is the combination of Enterprise Search, Glean Assistant, and Glean Agents, as well as the integration of company knowledge with web knowledge in a unified interface. In addition, there are 100+ connectors, a Model Hub for various LLM providers, APIs for custom generative applications, data analysis features, and flexible deployment models with Glean Hosted or Customer Hosted. For companies with high security requirements, it is especially relevant that Glean respects source-system permissions, describes single-tenant deployments, and states that it does not train AI models on customer data.
Main use cases
Glean is primarily used for company-wide knowledge search, faster research, summaries from documents and meetings, content creation, data-based analysis, and agentic workflow automation. In practice, this can range from engineering research to sales enablement and support knowledge access, all the way to internal FAQ, onboarding, and compliance-related knowledge processes. The platform is therefore less a single AI tool and more a horizontal work and knowledge layer on top of existing enterprise software.
Usage & notes
Introducing Glean is not a classic consumer-style start, but an administered enterprise rollout with SSO, data source integration, and governance settings. A positive aspect is that customers can choose between Hosted and Customer Hosted; however, it is important to note that according to Glean, Customer Hosted is not a traditional self-hosted/on-prem model, but is still operated by Glean as a managed service. For data protection and compliance reviews, you should examine the DPA, SCCs, subprocessor list, support access, data residency options, and the specific LLM billing or the use of Glean Key or Customer Key in detail.
| Target audience | Assessment |
|---|---|
| SMEs with many tools | Suitable – if many knowledge sources, SaaS apps, and internal documents need to be made searchable. |
| Large enterprises | Very suitable – Glean is clearly geared toward Enterprise Search, Work AI, agents, permissions, and security controls. |
| Knowledge workers / Operations / Support | Very suitable – for internal search, company knowledge, answers from documents, People Search, and automation. |
| IT / Security / Data Governance teams | Very suitable – due to the zero-trust approach, permission inheritance, connectors, sensitive content policies, and audit/compliance focus. |
| Private individuals / small solo users | Rather unsuitable – Glean is an enterprise platform, not a classic consumer AI tool. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ✅ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment of hosting & data:
Glean is a managed enterprise Work AI platform for enterprise search, assistant, agents, deep research, canvas, companion, connectors, model hub, and enterprise knowledge. On-premises hosting is not publicly documented as a standard option. Positive aspects include a strong enterprise focus, connectors, permission model, sensitive content policies, agent builder, API/MCP integration, and security controls. Critical issues remain international data flows, the many connected enterprise systems, subprocessors, and the need to properly configure indexing, permissions, retention, and model usage.
Conclusion:
Glean is particularly well suited for larger organizations with many knowledge sources and high search/agent needs; for GDPR use, the DPA, subprocessors, access controls, data classification, and model/retention configuration are crucial.
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ✅ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment of hosting & data:
Glean is a managed enterprise Work AI platform for enterprise search, assistant, agents, deep research, canvas, companion, connectors, model hub, and enterprise knowledge. On-premises hosting is not publicly documented as a standard option. Positive aspects include a strong enterprise focus, connectors, permission model, sensitive content policies, agent builder, API/MCP integration, and security controls. Critical issues remain international data flows, the many connected enterprise systems, subprocessors, and the need to properly configure indexing, permissions, retention, and model usage.
Conclusion:
Glean is particularly well suited for larger organizations with many knowledge sources and high search/agent needs; for GDPR use, the DPA, subprocessors, access controls, data classification, and model/retention configuration are crucial.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Broad integration base with 100+ connectors. | • No transparent self-service pricing; procurement is clearly sales-led. |
| • Unified search across apps, documents, chats, and tickets. | • For small teams/private users, the platform is likely to seem oversized; the official processes are geared toward enterprise deployment, SSO, and admin configuration. |
| • AI features for research, content creation, data analysis, and automation. | • No classic on-prem: Customer Hosted is explicitly not a traditional self-hosted model and remains a service managed by Glean. |
| • Multiple deployment models: Glean Hosted and Customer Hosted. | • Some of the security details are only viewable under NDA in the Trust Center/Security Standard. |
| • Strong compliance/security signals: SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001, encryption, DPA, SCCs. | Note: These are well-founded assessments based on the official product and deployment signals, not direct manufacturer self-criticisms. |
| • AI-specific privacy commitments: no training on customer data, zero-day retention. |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Your review will only become visible after email confirmation. This protects the portal against abuse.
Report review
Please select the reason why this review should be checked.
GDPR-compliant usage possible?
GDPR assessment: From a GDPR perspective, Glean is conditionally to well suited, especially for enterprise customers with a clean contract, DPA, and subprocessors review.
Positive is that Glean promotes enterprise security, GDPR relevance, SOC 2, HIPAA, encryption, zero-trust principles, permission inheritance from connected systems, and sensitive content policies. It is also positive that Glean provides a list of subprocessors and designs its platform around enterprise data, identities, and access controls.
Negative is that, as a global organization, Glean may transfer and process personal data in the USA or other jurisdictions; a blanket EU-only data residency is not publicly documented as a standard.
Server location: No confirmed general EU-only data residency; international transfers, including to the USA, are mentioned in the Privacy Policy.