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Glean Stock (GLEA)
Glean is an AI-powered work assistant that aims to enhance productivity by integrating with enterprise applications and databases to deliver precise search results. According to Glean, its platform, leverages advanced search and retrieval augmented generation (RAG) technology, to help users find and utilize company knowledge efficiently.
Glean provides an enterprise AI platform that enables employees to leverage internal information and data, as well as improve efficiency in workflow.
About Glean Stock
Founded
2019
Headquarters
Palo Alto, CA, US
Total Funding
783M
Industries
Software, Data and Analytics, Science and Engineering
Glean is an enterprise AI technology company that aims to enhance productivity by integrating with a customer's internal applications and databases to deliver precise search results. According to Glean, its platform leverages advanced search, large language models and AI to ingest company information, understand company acronyms and provide user specific tailored responses. Additionally, Glean offers a knowledge management service and work hub for users.
Glean Press Mentions
Stay in the know about the latest news on Glean
Data Management News for the Week of September 26; Updates from Cloudera, Teradata, Tray.ai & More
solutionsreview • Sep 27, 2025
3 AI execs say Trump's $100K H-1B visa fee could hinder startups and innovation
businessinsider • Sep 26, 2025
OpenAI keeps raising big and spending big, Oracle gets two new CEOs, and Trump cracks down on H1-B visas
siliconangle • Sep 26, 2025
Okta CEO: AI security and identity security are one and the same
computerweekly • Sep 26, 2025
The Cross App Access Protocol Makes AI Agents Enterprise-Ready
thenewstack • Sep 26, 2025
Glean Management
Leadership team at Glean
Founder & CEO
Arvind Jain
Co-Founder & CTO
Vishwanath TR
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Glean Key Facts
- Financial Growth: Glean has demonstrated growth its financial valuation. In June 2025, the company secured a $150 million Series F funding round, raising its valuation to a $7.2 billion. This capital injection, as well as the company's achievement of $100 million in annual recurring revenue (ARR), signals investor confidence in the enterprise AI market.
- Launched agentic AI platform and broadened global footprint: In early 2025, Glean launched “Glean Agents,” its intelligent workflow automation platform, with the goal to support 1 billion agent actions by year-end. This strategic innovation, combined with expanded partnerships (Dell, Palo Alto Networks, Snowflake, Workday) and international scaling, further enhances its competitive edge and underscores its evolving leadership in enterprise AI.
- Favorable Enterprise Demand for AI: There is growing enterprise demand for AI solutions which have become a key component for a wide range of businesses such as Google, Snowflake, and Dropbox. Glean's offerings aim to meet this demand as AI becomes integral for companies to improve their workflows across a wide range of systems and applications that produce large amounts of data. Glean may have an opportunity to meet this increasing demand by offering its tailored solution to enterprise customers.
- Intense Competition in Enterprise AI: Glean faces competition within enterprise AI, especially from startups including Anthropic, OpenAI, xAI, Perplexity, and incumbents such as Google, Snowflake, and Dropbox. In 2024 alone 49 startups focused on AI raised more than $100M for their new funding rounds. This may represent a challenging environment for Glean as the company faces well funded competition.
- Evolving AI Regulatory Landscape: There is uncertainty with AI regulation as the regulatory environment is still evolving especially with US lawmakers. In the 2024 legislative session at least 45 states, Puerto Rico, Washington D.C., and the Virgin Islands all introduced AI bills. Any bills that further regulate AI and potentially constrain its growth could present challenges for Glean and could negatively impact their business.
- Data Security: Glean’s platform centralizes and integrates sensitive company data from various systems, making data privacy and security a significant concern, especially for large enterprises. Any data breach or accidental exposure of confidential information due to security lapses could undermine its credibility and make customers hesitant to adopt the platform. With rising compliance demands and growing skepticism about sharing internal data with AI startups, even perceived vulnerabilities could stifle expansion into conservative or highly regulated industries.
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