Glean @glean

@karibriski @tonygentilcore Rewatch all of the sessions: glean-it.com/4cPVpvC

Your favorite AI company's favorite AI company 🤝 90% of Nvidians use Glean every day. When you're managing 42,000 employees building frontier technology, getting fast, secure access to enterprise knowledge isn't optional. At Glean:GO, @karibriski shared with @tonygentilcore how @NVIDIA scaled Glean with 400+ custom Slack agents grounded in company data. 👇

@karibriski @tonygentilcore Rewatch all of the sessions: glean-it.com/4xWCQ1j

Glean 🤝 @salesforce AgentExchange Our MCP server brings enterprise context into Agentforce, helping teams prepare for meetings, draft follow-ups, spot deal risks, and recommend next steps directly in Salesforce.

Salesforce Partners @partnerforce

4 days ago

AgentExchange just got bigger. 🛍️ Agentic builders. AI-native work apps. Agents and tools. MCP servers. 170+ skills and plugins. 14 Tableau Next apps. Whole categories of solutions that didn't exist two years ago — all in one marketplace. sforce.co/4dI8Kq6

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At Glean:GO, @evanspiegel shared how Glean is transforming work at @Snap 👇

Watch the full conversation: glean-it.com/4rdHt4y

Legal teams can help shape how AI gets adopted across the business by setting guardrails, building trust, and making experimentation safer. On Unprompted, Michael Moore and Curtis Salinas discuss the role of context and why useful agents often start with workflows people already know.

OpenAI's GPT-6 Astra is available today in Glean 💫   In our internal evals, it led GPT-5.6 Sol with a 66.76% overall preference rate. Its clearest edge is in long-running artifact workflows, where it reasons across large amounts of evidence to build ready-to-use deliverables. Watch it build a cross-functional project tracker for a complex launch, then try GPT-6 Astra in Glean.

glean-it.com/4yyDtOB

Every great product starts with a hunch. Interactive artifacts help turn that first spark into something you can see, shape, and share – all grounded in your enterprise context.

@jonathangold_ @scale_AI We prefer to call it persistent product enthusiasm 🤭 Congrats again on the AI Innovator award, Jonathan!

glean.com/blog/glean-tra…

At Glean:GO, we introduced Glean Transform, a living map of how work gets done across the enterprise. It helps teams find where AI can create the most value, connect opportunities to the right skills and agents, and measure the impact. 👇

Thanks to @karibriski and Vivek Raghunathan for joining me on stage at Glean:GO last week. Two lines from our conversations have stuck with me. Kari: “Bugs are love letters to my products.” At @nvidia, one of her favorite uses of @Glean is asking which bugs are affecting a product, what’s going wrong, and why. I love the attitude. Don’t hide from the bug queue, it’s one of the clearest signals you have about where the product needs work. Vivek: “There’s a difference between using AI to save yourself 20 minutes and using it to accomplish 80% of your work.” That’s the right bar. The bigger question is what becomes possible when AI takes on most of the work. @Snowflake is working toward that shift, with @Glean helping its engineers find information faster. Thank you both for sharing what you’re learning, and for trusting Glean with part of the work.

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That’s a wrap on Glean:GO 2026 🎬 A quick look back at the ideas, conversations, and product moments shaping the intelligence era. Catch up on every session → glean-it.com/3UR9FxW

Gemini 3.8 Flash is available in Glean today, giving you more options for which model works best for your work. In our evaluations, it completed more than 3x as many tasks as Gemini 3.7 Flash across long-running, document-heavy workflows.

Becoming AI-first is not just a technology strategy. It’s an organizational design problem. Last week at @Glean:GO, leaders from some of the world’s largest companies—like @GM, @Ericsson, @Cisco, @Deloitte, @Mastercard, @Dell, and @GeneralMills—showed that even organizations with long histories can become AI-first. But the transition requires redesigning how work gets done, not simply adding AI to the existing stack. A few themes stood out: - 𝗠𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗼𝘄𝗼𝗿𝗸𝗲𝗿𝘀. On stage with @OpenAI’s @embirico and @CNBC’s @Kr00ney, we discussed why most companies barely tap AI’s potential: workers don't know what to ask. When AI has deep context—your role, OKRs, and daily tasks—it can proactively propose work by default, eliminating the friction of prompt engineering. - 𝗥𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗮𝘀𝗸𝘀. The biggest constraint is often the coordination around a task: handoffs, context switching, and silos. If the workflow stays the same, much of AI’s productivity gain is lost. This is why we built Glean Transform, to map how work actually happens and redesign it around AI. - 𝗕𝗮𝗸𝗲 𝗶𝗻 𝗗𝗮𝘆 𝟬 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. In my conversation with @Cisco’s @jpatel41 and @Deloitte’s Ashish Verma, a shared reality emerged. Enterprise AI cannot scale as a collection of ad-hoc initiatives. To give organizations the trust needed to hand over real, mission-critical work, Day 0 security and fine-grained data governance must be built directly into your core systems of record. - 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆. @DaVita has saved 75,000 days of work using Glean. But as Madhu Narasimhan, CIO of DaVita, emphasized, the ultimate measure is human impact: giving a caregiver five more minutes with a patient. - 𝗖𝗿𝗲𝗮𝘁𝗲 𝗰𝗹𝗲𝗮𝗿 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽, 𝗼𝗳𝘁𝗲𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮 𝗖𝗔𝗜𝗢 𝗿𝗼𝗹𝗲. In a panel with CAIOs from Capgemini, Mastercard, Ericsson, and Zapier, leaders emphasized that without clear ownership, AI remains a collection of disconnected initiatives instead of becoming a new operating model. Thank you to our customers, partners, speakers, and Glean team for showing what it looks like to build an AI-first organization in practice. We’re honored to be a partner in that journey.

Claude Fable 5.1 is now available in Glean, alongside 40+ open and frontier models. Our judges preferred Fable 5.1's answers roughly 2:1 over Fable 5 across everyday knowledge questions, high-intent research, and drafting and artifact work, with improved response grounding.  Watch @claudeai Fable 5.1 plan an architecture redesign of a complex software project.

@heyDhavall Appreciate the detailed rundown of our announcements, Dhaval. Especially your callout of how Glean Tau and AI Gateway work together to cut down on context-switching and AI sprawl. We're excited for what's to come!

@renilzac Thanks for joining us, Renil! You nailed the takeaways.