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Glean sells enterprise AI search software that connects to a company's apps and data so employees can find answers and information in one place.
Glean is an enterprise AI search company. It sits on top of all the software a company already uses — email, chat, documents, wikis, customer records — and lets an employee type one question and get one answer, instead of hunting through a dozen apps one by one.
Most workplace knowledge is scattered. A policy lives in a shared drive, a decision lives in a chat thread, a customer's history lives in a sales tool. Glean connects to those systems, indexes what is inside them, and learns how each company works: who its experts are, what its acronyms mean, which documents are current. So when someone searches "parental leave policy" or "who owns the billing migration," they get a relevant answer with the right permissions respected, rather than a pile of links. It also builds on that base with AI assistants and agents that can answer questions and take actions across those connected tools. Glean makes money by selling subscriptions to companies, priced per employee seat, with bigger tiers for more advanced AI features. Its customers skew toward large organizations — technology firms, banks, retailers, universities — because the value grows with the number of apps and people a company has. That is also the source of its strength and its vulnerability: the product gets stickier as it spreads, but it competes against giants bundling similar tools into suites they already sell, including Microsoft with Copilot and Google with Gemini for Workspace, plus other enterprise search players.
The company was founded in 2019 by Arvind Jain, a former Google engineer who also co-founded Rubrik, alongside three other ex-Google engineers who had lived the problem of finding information inside big companies. It raised venture money at a reported valuation of $4.6 billion in 2025, a sign investors expect AI search inside the enterprise to be a large market. Its bet is that being neutral — working across all of a customer's apps rather than favoring one vendor's ecosystem — is exactly what large, messy organizations need.
Saved answer · last researched 4 Nov 2026