Although GenAI has its shortcomings, it excels in surfacing answers from vast pools of data.
Introducing Glean, a software developed by Arvind Jain, co-founder of Rubrik, that connects to enterprise databases to interpret plain-English requests from employees, similar to a custom ChatGPT. Jain was inspired to create Glean after noticing that employees at Rubrik and other companies struggled to access the information needed for their job tasks.
A recent survey by Gartner revealed that 47% of desk workers face challenges in finding relevant data for their work, with the increasing number of apps they manage exacerbating the issue.
Initially launched in 2019, Glean evolved into an AI-powered search app focusing on cognitive search, similar to Microsoft’s SharePoint Syntex and Amazon Kendra. It ingests data from various sources within a company to provide insights and answers using natural language processing.
Image Credits: Glean
Glean analyzes company data to answer employee queries, similar to the GenAI trend. However, concerns about data security and privacy have led some organizations to ban the use of GenAI platforms.
Glean assures that it is secure and respects permissions set in a company’s data sources. It offers personalized results based on user attributes and utilizes RAG (Retrieval-Augmented Generation) to enhance performance.
Despite competition in the market, Glean’s annual recurring revenue has nearly quadrupled, indicating strong business performance.
Image Credits: Glean
Investments in Glean have been substantial, with a recent Series D funding round raising $200 million. This funding will support the expansion of Glean’s teams, product enhancement, and strengthening its market presence.
Overall, Glean’s success in the enterprise market highlights the growing demand for GenAI solutions and the potential to transform the way people work.
