Take the quiz Resources EXPLORE ENGAGE Glean:GO 2026 Gleaniverse Community SUPPORT & SERVICES Help centre Developers Partners Work AI Institute The AI Token Savings Story Explore how context and model routing affect token costs, output quality, and savings at scale, the company said on 20 May 2025.
Watch the replay From AI tools to AI-powered systems See how teams are deploying agents and building AI-native workflows to run real work. Glean Enterprise Context Ground AI in company context Connectors & actions Glean offers more than 250 connectors APIs Build generative AI experiences API lookbook Explore what you can build Glean Protect Safely scale AI at work Glean Intelligence Get more from every AI request Auto routing Route work to the right model Model hub Get access to the latest models Usage controls Control AI usage and spend AI gateway Govern every AI interaction Glean Assistant Your enterprise AI coworker Proactive AI Stay ahead of what matters Content creation Create grounded, on-brand content Multiplayer Create and refine work together Work execution Turn insight into action Data analysis and research Turn context into insights Enterprise search Find answers across your company Glean Agents Build and manage agents Agent builder Build agents your way Agent orchestration Automate work across systems Agent governance Scale agents with control Agent library Discover trusted, reusable agents Coming soon Glean Transform See where AI can make the biggest impact Customers FEATURED STORIES Booking.
Tamar Yehoshua, President, Product & Technology at Glean said “Interoperability is core to our vision for enterprise AI agents - agents that can work across systems, not just within them,.”
For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.