TechnologyOperations

How Everpure Boosted Employee Satisfaction by 39 Points with Glean Enterprise Search

Everpure, a technology company based in Santa Clara, deployed Glean to give engineering, legal, and customer-facing teams instant access to critical information across Jira, GitHub, and internal wikis — without adding IT overhead or training burden. The result was over 30 minutes saved per search, a 39-point jump in employee satisfaction, and the ability to build custom GenAI applications in under 5 minutes.

Outcomes

30+ minTime saved per search
+39 pointsEmployee satisfaction improvement
5 minGenAI application development time

Tools & Technologies

1G
Glean
Enterprise search platform by Glean connecting company knowledge across SaaS apps using AI.

AI Categories

Challenge

Everpure’s engineering, legal, and customer-facing teams were losing valuable time searching across disconnected systems — with support engineers spending up to an hour per issue in Jira, GitHub, and wikis — and the company needed a secure AI search solution that required no extra training or IT overhead.

Solution

Everpure deployed Glean to connect Jira, GitHub, and internal wikis into a unified AI search layer with permission-aware source attribution, and used Glean’s no-code builder to enable teams to create custom GenAI applications in minutes — without adding IT overhead.

Full Story

Everpure operates as a software and technology company with teams spanning engineering, legal, customer success, and content — functions that each depend on fast access to different types of institutional knowledge. As remote work expanded, the cost of finding the right information at the right moment increased: support engineers were spending up to an hour digging through Jira, GitHub, and internal wikis to resolve technical issues, legal teams faced delays verifying compliance documents, and customer-facing employees had to check multiple sources manually for product and pricing information.

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