Glean

The Work AI platform connected to all your data.
General Information
Founders:
Arvind Jain, Piyush Prahladka, Tony Gentilcore, TR Vishwanath
Founded Date:
2019-01-01
Total Funding Amount:
$358,200,000
Headquarters Region:
San Francisco Bay Area, Silicon Valley, West Coast
Domain Rating:
66
Organic Traffic:
9118
Last Equity Funding Amount:
$203,200,000
Last Equity Funding Date:
2024-02-27
Last Equity Funding Type:
Series D

Overview

Glean is an AI-powered platform designed to enhance workplace productivity by enabling employees to efficiently locate information, generate content, and automate tasks within their organization’s data ecosystem. By integrating with various enterprise applications, Glean provides a unified search experience and intelligent assistance, facilitating seamless access to company knowledge.

Key Features

  1. Universal Search: Glean offers a unified search experience, allowing users to search across all company applications from a single interface. This feature eliminates the need to switch between different platforms and enables users to find information more efficiently.

  2. Glean Assistant: An AI-driven assistant that helps users find answers, generate content, and automate tasks by understanding and processing enterprise data.

  3. Custom AI Apps: Glean enables the development of tailored AI applications and agents to address specific business needs, leveraging its platform’s capabilities.

  4. Advanced Security: The platform ensures data security and privacy by implementing robust permission controls and compliance with industry standards.

  5. Seamless Integration: Glean connects with a wide range of enterprise applications, creating a centralized AI platform that indexes and understands company data.

Pros

  • Facilitates quick access to information across multiple platforms.
  • Enhances productivity through AI-generated content and task automation.
  • Customizable to meet specific organizational requirements.
  • Prioritizes data security and privacy.
  • Supports integration with various enterprise applications.

Cons

  • May require time for users to adapt to the new system.
  • Initial setup and integration can be complex.
  • Dependence on AI may lead to occasional inaccuracies.
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