Glean

Our team has been recognized on the CRN Women of the Channel list for 2026! 🤩 Huge congratulations to: 🔹 Samantha Cugini 🔹 Amanda Delfino 🔹 Leena Kamath 🔹 Megan Polhemus The CRN Women of the Channel list highlights exceptional leaders who develop innovative strategies that enhance channel success for their organizations, their partners, and the entire channel ecosystem. We’re so proud to see these incredible women recognized for their impact and leadership. Congrats to all! 🎉

Glean is your AI coworker that gets the job done: triage your inbox to surface your highest priority tasks 📬 You know the feeling - you just got back from PTO and have no idea where to start or what needs your attention first. Hadassah Gleeson, PMP, on our customer references team, found herself in this exact situation, so she turned to Glean. In seconds, it surfaced the one thing that actually needed her first - a replacement speaker for an upcoming event. Glean found a candidate through the Customer References agent, drafted a personalized outreach email in her voice, and created a Gmail draft ready to send. Watch how she did it 👇 https://lnkd.in/dkHnZ-YB

A first look at some of the leaders joining us on stage at Glean:GO 🙌 Madhu Narasimhan, Chief Information Officer at DaVita Kidney Care Joel Nygårds, Chief Data Officer and Head of AI at Ericsson Manu Narayan, CIO at GitLab, Jonathan Goldberg, VP, Enterprise AI at Howard Hughes Holdings Inc. Vladislav Tsapko, VP, Business AI & Operations at Insurity Tim Glomb, VP Content, Digital, and Operational AI Transformation at Wunderkind Don’t miss hearing from these AI experts on everything from enterprise AI and data leadership to operational transformation and innovation at scale. Join us August 26-27 in San Francisco. https://lnkd.in/dP68bNTQ #GleanGO

Glean is your AI coworker that helps you get work done: turn scattered context into polished first drafts ✨ Madison Klusendorf, MBA, one of our AEs, needed to walk into a first meeting with a prospect and earn the conversation. So she asked Glean to pull their CEO's priorities from earnings calls, pair it with internal proof points and customer stories, and turn it all into a polished, interactive artifact – ready to share live in the meeting and send as a PDF after. ✅ https://lnkd.in/gcZC2ENb

Three years running! 🎉 Glean is honored to be named to CNBC’s 2026 #Disruptor50 list, recognizing the world’s most innovative private companies. This recognition comes at a defining moment for enterprise AI. Companies aren’t just experimenting anymore - they’re rethinking how work gets done. But to make AI truly useful at work, it needs to understand enterprise context, respect permissions, and help employees turn knowledge into impact. That’s what we’re building at Glean: a Work AI platform that gives every employee a proactive AI coworker — helping them find answers, create content, and take action securely across the enterprise. Thank you to the CNBC team for the recognition — and thank you to our customers, partners, and the entire Glean team for helping make this possible.

As a technical support engineer, one support pain point that feels very real to me is how long it takes to prepare for a customer status call and close the loop cleanly afterward. The context is usually spread across tickets, emails, side threads, and meeting notes, so too much of the work becomes housekeeping instead of problem-solving. I’ve been using Glean to pull that together much faster. Before a meeting, I can quickly understand what actually changed, what still matters, and what next steps are worth discussing. After the call, it also helps me turn that context into a clearer ticket update. I can use Glean to pull together the latest details, draft the follow-up, and in some workflows use write tools to push that update back into systems like Zendesk or ServiceNow, so the customer conversation and the written follow-through stay aligned. That’s been the tangible value for me: less time digging, better context, and stronger conversations with customers. And when prep and follow-up get lighter, I get to spend more time focused on helping solve the actual problem.

Glean is your AI coworker that helps you get work done: analyze copious amounts of data quickly to make data-backed decisions faster 📊 Phil from our PMM team needed to know if a customer's feature request was a one-off or a pattern. So he asked Glean. In less than a minute, Glean securely pulls the right data across multiple enterprise systems, invokes agent sandbox to write and execute Python, and returns the exact aggregations and outputs grounded in real company context, and got Phil an answer. https://lnkd.in/g2w8KrTd

Konoike Transport Co Ltd のGlean導入を心より歓迎いたします。 KONOIKEグループは、物流、製造、医療、空港オペレーションなど幅広い事業を展開し、25,000名以上の従業員を擁する日本を代表する企業です。 同社・ICT推進本部が掲げる生成AI活用のスローガンは「AI is Everywhere」。 その実現に向けた全社AI基盤として、Gleanが採用されました。すでにBox、Microsoft Outlook、ServiceNowを横断した検索が活用されているほか、自然言語によるAIエージェントの開発も進んでいます。 導入後の反響は大きく、会議資料の検索・作成にかかる工数が約9割削減されたという声が届いています。 日本はGleanにとって最優先の成長市場であり、今回のパートナーシップは、この地域のリーディング企業から寄せられている声を反映するものです。セキュアで実用的、そして真のビジネス変革を実現するAIへの需要は確実に高まっています。 この力強いコミットメントを示されたKONOIKEグループの皆様に敬意を表します。共に歩めることを光栄に思います。🇯🇵

Glean is your AI coworker that gets the job done: batch-create Jira tickets and schedule meetings on your behalf ✅ POV: You've got a master doc overflowing with raw product feedback. Turning those notes into individual Jira tickets means hours of copy-pasting, and you're dreading it. Miribel Wu, a PM on our team, handed it off to Glean instead. She asked Glean to pull the feedback from her doc and batch-create the subtasks. The Jira skill scanned the document, pulled every relevant note, link, and screenshot, and queued the tickets for her approval. Miribel also needed to align her team, so Glean scheduled a triage meeting, pulled in the right engineers, and checked her calendar first to work around her busy schedule. 🤯 https://lnkd.in/gdVpA5ej

We hear we’re sharing what shipped in the last month. Here’s everything new to Glean 🔥 - Voice - Adaptive reasoning mode - Personalized activity cards - Revision view in canvas - Artifacts sharing - Updates to slide generation - Library - Clarifying questions - Intermediate steps UI - Bulk write tools - Write tool previews - Auth improvements for actions - MCP apps in Assistant - Auto-mode - Agent library updates - Bulk scheduling - Improvements to agent deletion - Content triggers (Public beta) - Skills (Public beta) - Waldo - Harness v3 - MDM deployment for Glean MCP - Glean OAuth management UI - New read and write tools: Enterpret - New read and write tools: Dropbox - New read and write tools: Granola - New read and write tools: Gainsight - New read and write tools: Apollo - New model support: GPT-5.5 - New model support: Opus 4.7 - New model support: GPT Realtime 2 - Linear agent - Glean in Gemini and Copilot - Governance and admin - Agent access policies (private beta) - Agent alignment models - Sensitive content models