Glean is a groundbreaking search engine that connects and understands a company’s knowledge to bring answers users need. By analyzing metadata, user behavior, and semantic relationships between documents and data points, Glean surfaces the most pertinent information while filtering out irrelevant clutter. This ensures that users can swiftly pinpoint the exact piece of data they need, minimizing time spent sifting through irrelevant content and maximizing productivity.
Glean has raised over $200 million in a Series D funding round at a $2.2 billion valuation. Led by Kleiner Perkins and Lightspeed Venture Partners, the new round also saw participation from existing investor Sequoia Capital, new investors Coatue, ICONIQ Growth, and IVP, strategic investors Capital One Ventures, Citi, Databricks Ventures, and Workday Ventures, and support from existing investor General Catalyst. “Every CIO is trying to figure out the enterprise use cases of generative AI. Glean was built with data safety and governance in mind. When they layered on large language models, the adoption has really accelerated,” said Mamoon Hamid, partner at Kleiner Perkins who led the investment.
Glean, Palo Alto, California, United States, was founded in 2019 by Arvind Jain, Piyush Prahladka, Tony Gentilcore, and TR Vishwanath. By transcending the limitations of traditional search methods and embracing the complexities of modern data ecosystems, Glean empowers organizations to harness the full potential of their data assets.
