Glean#47

Tenobrus@tenobrus

gigafucked: - grammarly - calendly - miro - retool - webflow - langchain - writer - harvey - glean - expedia - monday fucked: - accenture - intuit - notion - jasper - canva - alphasense - postman - airtable - talkdesk - sierra - zapier - replit - solace probably fucked: - cursor - pilot - clay - mercor naively seems fucked but so competent / plugged in they seem to be figuring it out on the fly anyway: - linear

Arvind Jain@jainarvind

I'm proud to share that @Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with @CNBC's @dee_bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain@jainarvind

I’m proud to share a big milestone for @Glean: we’ve surpassed $200M in ARR, doubling in just nine months. This puts Glean among the fastest-growing pure-play enterprise software companies of the decade. It’s a testament to our customers, partners, and employees across the globe who use Glean every day. Thank you. When we started Glean, our goal was simple: help people do their best work by understanding how their organization works. Today, that vision powers a new era of Work AI—with an intelligent Assistant and production-ready agents that understand your work and your organization at a depth no individual can match. What’s driving this momentum: 𝗥𝗲𝗮𝗹, 𝗵𝗮𝗯𝗶𝘁𝘂𝗮𝗹 𝘂𝘀𝗮𝗴𝗲 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲: the average employee runs five queries per day, with an industry-leading ~40% wDAU/wMAU—on par with consumer web search habits.   𝗔𝗻 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝘀 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮: securely and permissions-aware across the tools companies already use—enhanced by more than 200 new features, including Glean Agents, Agentic Engine 2, and our third-generation AI Assistant. 𝗚𝗹𝗼𝗯𝗮𝗹 𝗲𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝘁𝗿𝘂𝘀𝘁: Doubled company-wide deployments across the Americas, EMEA, and APAC—built with governance, security, and interoperability at the core while advancing our strategic partner ecosystem. Join us on December 10 at 10am PT for Glean:LIVE to see what’s next as we continue our mission to bring superintelligence to the enterprise. The best is yet to come. https://t.co/PG8oSWbp7l