Glean Stock
Cloud Infrastructure and AI HardwareLooking to sell Glean Stock or Options? Get a free valuation
Founded: 2019Funding to Date: $356M
Visit websiteGlean is a software company that specializes in creating tools to help organizations manage and analyze unstructured data. Their platform utilizes machine learning algorithms to extract insights from large volumes of text, allowing businesses to gain valuable information from sources such as emails, documents, and social media. Glean's focus on simplifying data analysis processes makes it a valuable asset for companies seeking to harness the power of their unstructured data.
Investors include:
Further Key Investors:
Collective Liquidity, General Catalyst, Databricks Ventures, Citi Ventures, Adams Street Partners, Slack Fund, Workday Ventures, Plug and Play Tech Center, Latitude Capital, Capital One Ventures, Citibank Group, ICONIQ Growth.
Management Team
Arvind JainCo-Founder & Chief Executive Officer
Tony GentilcoreCo-Founder & Engineering Executive
Vishwanath TRCo-Founder & Engineering Executive
Piyush PrahladkaCo-Founder & Search architect and Head of Search and AI
Jessica YehHead of Talent
Board Members
Ansaf KareemBoard Member
Mamoon HamidBoard Member
Ravi MhatreBoard Member
Sonya HuangBoard Member
Vaibhav AgrawalBoard Member
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Glean in the News
Source: Pulse 2.0Glean: AI-Powered Work Assistant Company Secures Over $200 Million At $2.2 Billion Valuation
Glean - an AI-powered work assistant making waves among CIOs under pressure to quickly and securely deploy generative AI in the enterprise – announced it has raised over $200 million in Series D funding at a $2.2 billion valuation.
Source: FinSMEsGlean Raises Over $200M in Series D Funding
Glean, a Palo Alto, CA-based provider of an AI-powered work assistant, raised over $200M in Series D funding, at $2.2 Billion valuation
Source: BusinessWireGlean Announces Over $200M Series D to Accelerate Secure Deployment of Generative AI in the Enterprise
Glean, the AI-powered work assistant making waves among CIOs under pressure to quickly and securely deploy generative AI in the enterprise, has raised