Overview

This fireside chat with Glean’s co-founder/CTO traced Glean’s origins (bringing Google-like search to messy enterprise data) and the product choices that made it work—turnkey setup, native indexing, strict permissions, and long-game engineering over growth hacks. He shared how the company scaled without burnout, what makes enterprise search different, and where agents are actually useful today (coding, sales, and “every employee’s EA”)—with guardrails, cost control, and context as must-haves. Big picture: AI will shave off boilerplate work so people can focus on higher-level decisions, and Glean aims to be the platform piping trusted company knowledge into those agentic workflows.