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Jain Convinced Co-Founders T.R. Vishwanath, Piyush Prahladka and Tony GentilCore to Tackle the Project with Him. They Built Glean, Which Office Launched I n 2019, to Solve What Jain Believes to Be the Most Urgent PROBLEM in TODAY’s Workplace: that It’s OFTEN EASIER TOFind Answers in the Vast Expanse of the Internet than it is within a single organization. YTHING You WANTED Externally was available Instantly Via Google Search, but Internet- IT was impossible. ""

Even with Google Search, YouTube and Maps’ Search Engines Under His Belt, Jain Knew Building Glean WOULDN’T BE EASY. An Enterprise is that, unlike the information in a general-Purpose Internet Search Engine,"Company DATA DOESN’T LIVE in Readily Organized Forms," ​​Jain Says. "Information Can Be Fleetingly Exchanged Over One Communication Suite, Like Slack or Google Chat, Bu T not formalized in another. And it’s not just that data is spread across a rangeOf Saas Tools -Each IndiDual Has their Own Level of Access to Those Systems. The CEO Has Access to Different data than s accesse to different data than somene in human resources. "

Jain assembled a team of Engineers to Help Him Bring Glean to Life, Many Who Had Worked with Him at Google, Others Who Wee Familia with his reputation as one Arch Engineers in Silicon Valley.2021, as a "Work Assistant with Intuition," Modeled on a Google-Like Search Engine. It worked by transforming the entirety’s data, in all my various, Into Nodes on a Knowledge Graph. And it was able to doThis in under two hours, Meaning It was google-Fast and Required Minimal Onboarding TimeJaipur Wealth Management. Arning to deliver indictialized search results.Jain says. "But in the last year, The Shift in the Capabilities of Ai Models -IT’s Changed Everything."

In the spring of 2023, Glean Annound it was inacorpoating generative ai ites problemAhmedabad Wealth Management. OW It’s More Like Google Plus Chatgpt, "Jain Says." Glean is no longer justSurfacing Information, It’s Taking that information, consumption it and then polforming a task. If an employee to provide provide a list of the company s Top 10 Customers Who are likely to churn, Our Engine Can Actually Go and Hunt ThroughInformation in your Enterprise Corpus, Figure Out What Makes It Likely for A Customer to Churn, Go to your metrics dashboard, look at other mether through Ing Bad for Certain Business and Actually Give that Answer back to you. "

The Integration of Enterprise Search Capabilities with Generation Ai Has Become Glean’s Superpower. Ai product that is workplace-knowledge-aware, "Says Sonya Huang, a Partner at Sequoa Serves on Glean’s Board."GLEAN SPERS PERFECTING The Algorithms to get Corporate Knowledge Into Algorithms for Search and Has now Arrived Place at the Right Time for General. Ive ai. ""

For Jain, The Challenge of Glean Wasmne only in Developing Its Product, but in Growing Into the Role of Ceo and Leading An Entire Company. AWing on the Traits of His Pares: His Father’s Confidence and Practice ofReaching Out to Others, and His Mother’s Approach to Conflict, Which Prioritizes Listening and Never Saying "I Told You so."

TODAY GLEAN Serves Over 200 Enterprises, Some with Hundreds of Employees, Others with Hundreds of Thousands, SAVING THEM HUNDRS of Work Per Municion s of dollars per year.Glean Will Alter the Way We Work, Period, "Jain Says. He Envisions that one day, Every Employeee Seses GLEAN Will Have a" Work double, " ANT WHO Can Perform Tasks and Track Every Project, Every Communication and EveryPiece of Company Knowledge. It’s a world in which employees are impended by the challenges of local. Hallenge -Maybe Even the Thing that winning nagging them.

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