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Glean Company Profile

Glean is an artificial intelligence company founded in 2019 and headquartered in Palo Alto, California, U.S. Its founding team consists of veterans such as former Google search engineers, including Arvind Jain, Piyush Prahladka, Tony Gentilcore, and TR Vishwanath. The company was founded inspired by the difficulties employees face in finding the information they need to do their jobs, and aims to help people easily access the knowledge they need to be more productive through AI technology.

Glean initially provided a one-stop shop for enterprise search andknowledge managementsolutions, and later launched products such as Glean Chat, a conversational AI assistant, along with the GenAI technology wave. Its customers include Fortune 500 companies such as Dell, as well as many tech companies.Glean delivers efficient, secure, and personalizedAI searchwith knowledge management services.

Core business and technology

• product positioning: An AI-based enterprise search and knowledge management platform that provides enterprises with a personalized search experience across applications by connecting to more than 100 SaaS applications, building a knowledge graph and leveraging retrieval-enhanced generation (RAG) technology.

• core technology: Deep integration with large-scale language models (LLMs) for semantic understanding search; using a combination of vector and keyword search to train customized AI models for each client company, such as for the language and context of the client company.

• Functional Features::

  • Cross-Application Search: Enables fast cross-platform search capabilities, ensuring that all the resources needed for collaboration within the organization are easily accessible.
  • Personalized Search: Provide customized search results based on each user's specific needs, preferences and access rights.
  • knowledge management: Users can share and consolidate related documents or links, jump through interfaces using new short form URLs, etc. to more easily navigate to frequently used resources.
  • Jobs Home: Personalized functional modules are presented on the homepage according to the different habits of users, including company announcements, staff directory, calendar, etc.

Market Performance and Customers

• Financing::

  • On March 1, 2019, closed a $15 million Series A round led by Kleiner Perkins, Lightspeed Venture Partners.
  • On March 31, 2021, closed a $40 million Series B round led by General Catalyst.
  • On May 18, 2022, closed a $100 million Series C round led by Sequoia Capital.
  • On February 27, 2024, closed a $203.2 million Series D round led by Kleiner Perkins, Lightspeed Venture Partners, valuing the company at $2.2 billion.
  • On September 10, 2024, it closed a $260 million Series E round led by Altimeter and DST Global, valuing the company at $4.6 billion.
  • In June 2025, it was valued at $7.2 billion in its latest funding round led by asset management firm Wellington Management.

• client base: Serving industry giants such as Sony Electronics and Databricks, as well as well-known companies such as Reddit, Instacart, Pinterest, and Duolingo, and global leaders in telecom, banking, retail, semiconductor, electronics, and manufacturing.

Product Advantages and User Experience

• efficiency: Glean's AI search engine effectively solves the problem of information silos within an organization, providing cross-application search capabilities that significantly improve the efficiency of cross-platform data retrieval.
• usability: Glean provides an integrated workspace where users can manage calendars, view announcements, handle meeting links, and more, increasing productivity. At the same time, Glean is quick to set up and requires no professional services or manual fine-tuning.
• safetyGlean guarantees the accuracy, security and traceability of search results through the Trusted Knowledge Model. It adheres to the permissions rules set in the company's data sources, conducts user access reviews to enforce the principle of least privilege, encrypts all data at rest using AES 256, and encrypts all data in transit using TLS 1.2+ encryption, among other controls, to limit the risk of data leakage.