episode of Equity<\/a>, which we recorded at Web Summit Qatar. \u201cAll of that is now becoming foundational in terms of building high quality agents.\u201d<\/p>\nHe says that while large language models are powerful, they\u2019re also generic.\u00a0<\/p>\n
\u201cThe AI models themselves don\u2019t really understand anything about your business,\u201d Jain said. \u201cThey don\u2019t know who the different people are, they don\u2019t know what kind of work you do, what kind of products you build. So you have to connect the reasoning and generative power of the models with the context inside your company.\u201d<\/p>\n
Glean\u2019s pitch is that it already maps that context and can sit between the model and the enterprise data.\u00a0<\/p>\n
The Glean Assistant is often the entry point for customers \u2014 a familiar chat interface powered by a mix of leading proprietary (ie, ChatGPT, Gemini, Claude) and open-source models, grounded in the company\u2019s internal data. But what keeps customers, Jain argues, is everything underneath it.\u00a0<\/p>\n
Techcrunch event<\/p>\n
\n\t\t\t\t\t\t\t\t\tBoston, MA
\n\t\t\t\t\t\t\t\t\t\t\t\t\t|
\n\t\t\t\t\t\t\t\t\t\t\t\t\tJune 23, 2026\n\t\t\t\t\t\t\t<\/p>\n
First is model access. Rather than forcing companies to commit to a single LLM provider, Glean acts as the abstraction layer, allowing enterprises to switch between or combine models as capabilities evolve. That\u2019s why Jain says he doesn\u2019t see OpenAI, Anthropic, or Google as competition, but rather as partners.\u00a0<\/p>\n
\u201cOur product gets better because we\u2019re able to leverage the innovation that they are making in the market,\u201d Jain said.\u00a0<\/p>\n
Second are the connectors. Glean integrates deeply with systems like Slack, Jira, Salesforce, and Google Drive to map how information flows across them and enable agents to act inside those tools.\u00a0<\/p>\n
And third, and perhaps most important, is governance.\u00a0<\/p>\n
\u201cYou need to build a permissions-aware governance layer and retrieval layer that is able to bring the right information, but knowing who\u2019s asking that question so that it filters the information based on their access rights,\u201d Jain said.\u00a0<\/p>\n
In large organizations, that layer can be the difference between piloting AI solutions and deploying them at scale. Enterprises can\u2019t simply load all their internal data into a model and create a wrapper to sort out the solutions later, says Jain.\u00a0<\/p>\n
Also critical is ensuring the models don\u2019t hallucinate. Jain says its system verifies model outputs against source documents, generates line-by-line citations, and ensures that responses respect existing access rights.\u00a0<\/p>\n
The question is whether that middle layer survives as platform giants push deeper into the stack. Microsoft and Google already control much of the enterprise workflow surface area, and they\u2019re hungry for more. If Copilot or Gemini can access the same internal systems with the same permissions, does a standalone intelligence layer still matter?<\/p>\n
Jain argues enterprises don\u2019t want to be locked into a single model or productivity suite and would rather opt for a neutral infrastructure layer rather than a vertically integrated assistant.<\/p>\n
Investors have bought into that thesis. Glean raised a $150 million Series F in June 2025, nearly doubling its valuation to $7.2 billion<\/a>. Unlike the frontier AI labs, Glean doesn\u2019t need massive compute budgets.<\/p>\n\u201cWe have a very healthy, fast-growing business,\u201d Jain said.<\/p>\n","protected":false},"excerpt":{"rendered":"The battle for enterprise AI is heating up. Microsoft is bundling Copilot into Office. Google is pushing Gemini…\n","protected":false},"author":2,"featured_media":293060,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,7324,16040,148874,85,46,125],"class_list":{"0":"post-293059","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-enterprise-ai","12":"tag-equity","13":"tag-glean","14":"tag-il","15":"tag-israel","16":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/293059","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=293059"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/293059\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/293060"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=293059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=293059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=293059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}