---
title: Glean
slug: glean-0da2c
url: /detay/glean-0da2c
type: article
language: English
entity:
  primary: Glean
  type: article
  disambiguation: Glean: AI-powered work platform.  Search, automate, & access enterprise data easily.
  categories:
    - name: Software And Artificial Intelligence
      slug: yazilim-ve-yapay-zeka
      url: /kategori/yazilim-ve-yapay-zeka
  tags:
    - Enterprise Integration
    - Knowledge Graph
    - AI Platform
    - Glean Technologies
    - NLP
author: Ömer Said Aydın
created_at: 2025-05-11T15:40:34.231278+03:00
updated_at: 2025-05-13T20:21:24.501684+03:00
image: https://cdn.t3pedia.org/media/uploads/2025/05/11/nbEdezhohvZ3MX5hWxodSCNztCCqkTd0.webp
---

# Glean

<!-- CONTEXT: KURE Information Cards for "Glean" -->

## KURE Information Cards

### KURE Information Card: Glean

![bsunjRtRbva89WCLX3DBD3o27pqMAoiw.webp](https://cdn.t3pedia.org/media/uploads/2025/05/11/fOLbh8nvI7tD4l0VNnujBuc6HNB6RSA6.webp)

| Field | Value |
|-------|-------|
| Website(s) | https://www.glean.com/ |
| Founded(Text) | 2020 |
| Founder(s) | Arvind Jain Vishwanath T. R. Tony Gentilcore |
| Location | Palo Alto California USA |

<!-- CONTEXT: Article Content for "Glean" -->

## Article Content

**Glean** is a Work AI platform developed to facilitate enterprise access to information and automate AI-powered business processes. Managed by [Glean](/en/detay/glean-801ed/llms.txt) Technologies, Inc., headquartered in Palo Alto, California, the platform was founded in the early 2020s by former [Google](/en/detay/google-gemini-artificial-intelligence-model-d59c5/llms.txt) engineers and seasoned professionals from the technology industry. Glean provides applications that support search, summarization, content generation, and workflow automation by unifying corporate data within a central knowledge graph.

### **Founding and Leadership**

Glean Technologies, Inc. was founded by **Arvind Jain**, a former senior engineer at Google with experience in the Google Cloud Search division. Co-founders also include **Vishwanath T. R.** and **Tony Gentilcore**. The company's executive team features **Tamar Yehoshua** (President of Product and Technology), **Matt Kixmoeller** (Chief Marketing Officer), and **Sunil Agrawal** (Chief Information Security Officer). As of 2025, Glean has between 500 and 1,000 employees.

### **Core Technological Features**

Glean offers an AI infrastructure that makes internal corporate data searchable, analyzable, and interpretable. Utilizing technologies such as natural language processing (NLP), knowledge graphs, and large language models (LLMs), the platform enables employees to access information from various sources via a single search bar. The search engine adheres to permission-based access principles, restricting content display according to user privileges.

Glean employs a **Retrieval-Augmented Generation (RAG)** architecture, in which AI-generated content is based on retrieved search results, and all outputs are traceable to verified source links to ensure accuracy.

[YouTube Video](https://www.youtube.com/watch?v=VqspygBClOg)
*Glean Introduction Video (Glean)*

### **Developer Platform**

The **Glean Developer Platform** allows software developers to integrate Glean's capabilities into enterprise applications using a set of APIs (Application Programming Interfaces), including RESTful APIs, Chat API, Indexing API, and Search API. The Web SDK enables Glean to be embedded directly into websites.

Glean also supports the **Model Context Protocol (MCP)** to enable secure, bi-directional communication between AI models and enterprise data. Agents operating through this protocol can analyze data and execute actions based on context.

### **AI Agents and Automation**

The **Glean Agents** module allows organizations to build AI-powered agents for a variety of internal tasks. These agents can interpret natural language instructions, plan according to contextual data, and execute workflows autonomously. The system is supported by an **agentic reasoning engine** for reflection, planning, and execution. Tools like the **Glean Agent Builder** and **Agent Library** allow any employee to create agents without writing code.

### **Integration Infrastructure**

Glean supports direct integration with over 100 enterprise applications such as Gmail, [Slack](/en/detay/slack-5fb00/llms.txt), [Microsoft Teams](/en/detay/artificial-intelligence-tools-ai-tools-a3e1f/llms.txt), [Salesforce](/en/detay/salesforce-8cc79/llms.txt), Dropbox, Jira, [Notion](/en/detay/notion-93b3a/llms.txt), and Zendesk. These integrations are enabled via native connectors, APIs, or browser history-based connections, and include not only content but also metadata such as user identity, access permissions, and usage history.

### **Security**

Glean employs a multi-layered approach to data security and governance. Its core security principles include zero data retention, exclusion of user data from LLM training, citation of sources in all AI outputs, and permission-based access.

The platform complies with global standards such as **SOC 2 Type II**, **HIPAA**, and **GDPR**, and incorporates features like client-specific cloud infrastructure, advanced encryption (AES 256, TLS 1.2+), and detailed audit logs.

### **Use Cases**

Glean’s platform is suitable for departments such as engineering, sales, support, HR, and knowledge management. The **Glean Assistant** helps employees summarize documents, generate content, respond to customer queries, and create training materials. Specialized applications designed for customer support teams help reduce response times and improve information accuracy in handling support tickets.

### **Future Outlook**

Glean aims to accelerate enterprise adoption of AI and promote daily use of AI tools by all employees. Through no-code and low-code solutions, Glean enables non-technical users to build AI-based applications. The company also seeks to set new standards in data governance, security, and integrated enterprise experience.

<!-- CONTEXT: Academic Sources and References for "Glean" -->

## Academic Sources and References

1. "About Us." Glean. Accessed May 8, 2025. https://www.glean.com/about."AI Agents." Glean. Accessed May 8, 2025. https://www.glean.com/product/ai-agents."API." Glean. Accessed May 8, 2025. https://www.glean.com/product/api."Apps." Glean. Accessed May 8, 2025. https://www.glean.com/product/apps."Assistant." Glean. Accessed May 8, 2025. https://www.glean.com/product/assistant."Engineering Solutions." Glean. Accessed May 8, 2025. https://www.glean.com/solutions/engineering."Forbes Company Profile: Glean." Forbes. Accessed May 8, 2025. https://www.forbes.com/companies/glean/?list=ai50."Glean Homepage." Glean. Accessed May 8, 2025. https://www.glean.com/."Glean AI’ye Pipe Tarafından Satın Alma." Fintech Futures. Accessed May 8, 2025. https://www.fintechfutures.com/m-a/pipe-acquires-spend-management-platform-glean-ai."Sales Solutions." Glean. Accessed May 8, 2025. https://www.glean.com/solutions/sales."Support Solutions." Glean. Accessed May 8, 2025. https://www.glean.com/solutions/support."Team Solutions." Glean. Accessed May 8, 2025. https://www.glean.com/solutions/all-teams."Video: Glean – Work AI for All." YouTube. Accessed May 8, 2025. https://www.youtube.com/watch?v=VqspygBClOg&t=151s."Webrazzi: Glean, 4.6 Milyar Dolar Değerleme ile 260 Milyon Dolar Yatırım Aldı." Webrazzi. Accessed May 8, 2025. https://webrazzi.com/2024/09/11/yapay-zeka-girisimi-glean-46-milyar-dolar-degerleme-ile-260-milyon-dolardan-fazla-yatirim-aldi/."Workplace Search AI." Glean. Accessed May 8, 2025. https://www.glean.com/product/workplace-search-ai.