Mediafly
Knowledge search
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
- 90% company-wide adoption of Glean
Info fragmented across a growing SaaS stack as headcount hit 800. Employees grab shared agents from a library instead of hunting answers.
A global cybersecurity company safeguarding more than 5.5 million endpoints and 14 million identities, making enterprise-grade protection accessible to businesses beyond the Fortune 500 through a 24/7 AI-centric security operations center.
As the company scaled past 800 employees through hypergrowth, keeping teams aligned and finding information across a growing stack of SaaS tools...
“Knowing how Glean manages security, and that Glean started as an enterprise search company, definitely gives us the comfort to give everyone access to it.”
Managed cybersecurity platform providing EDR and threat hunting for MSPs and SMBs.
AI-powered enterprise search and assistant platform for workplace knowledge.
Huntress's Knowledge search is part of this use case:
Related implementations across industries and use cases
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Six tools and a Slack chain to find one answer. A unified search layer now powers agents that run account audits in 10 minutes, not 3 hours.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Six tools and a Slack chain to find one answer. A unified search layer now powers agents that run account audits in 10 minutes, not 3 hours.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Info fragmented across a growing SaaS stack as headcount hit 800. Employees grab shared agents from a library instead of hunting answers.
A global cybersecurity company safeguarding more than 5.5 million endpoints and 14 million identities, making enterprise-grade protection accessible to businesses beyond the Fortune 500 through a 24/7 AI-centric security operations center.
As the company scaled past 800 employees through hypergrowth, keeping teams aligned and finding information across a growing stack of SaaS tools...
“Knowing how Glean manages security, and that Glean started as an enterprise search company, definitely gives us the comfort to give everyone access to it.”
Managed cybersecurity platform providing EDR and threat hunting for MSPs and SMBs.
AI-powered enterprise search and assistant platform for workplace knowledge.
Huntress's Knowledge search is part of this use case:
Related implementations across industries and use cases
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Six tools and a Slack chain to find one answer. A unified search layer now powers agents that run account audits in 10 minutes, not 3 hours.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Six tools and a Slack chain to find one answer. A unified search layer now powers agents that run account audits in 10 minutes, not 3 hours.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.