
SpecialistThe AI workspace where teams and agents get work done together

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. Phare records 5,982 monthly visits with +59.6% growth and Freemium pricing.

European uptime monitoring with incidents, alerts and status pages
| +2.23K (+59.6%) |
| Primary Market & Share | 🇺🇸 United States (56.6%) | 🇫🇷 France (68.5%) |
|---|
| Direct Visits / mo | 2.63M | 2.38K |
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| User Rating | 4.6 | 4.1 |
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| Supported Platforms | Website | Website |
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Enterprise AI grounded in your company's own knowledge
Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.

European uptime monitoring with incidents, alerts and status pages
Monitor HTTP(S), TCP and ICMP targets on intervals as short as 30 seconds from 12 locations across Europe, Asia, America and Oceania, with per-region confirmation rules to avoid false alarms.
Outages become tracked incidents with full event timelines, comments and updates; AI drafts incident summaries and postmortem text so teams can focus on the fix.
Publish public or private status pages on your own domain with SSL, subscriptions via RSS, Atom and Slack, and IP, token or password gating.
Send notifications by email, SMS, voice, Slack, Discord or outgoing webhooks, with alert rules that keep noise out of on-call rotations.

SpecialistThe AI workspace where teams and agents get work done together

Unified observability, security and incident response for cloud-scale engineering teams

Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search.
SpecialistBuild, share, and control AI agents that actually do the work

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

SpecialistAutomates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.

SpecialistDeploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search.
Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean.

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean.

Connects workplace apps for semantic enterprise search and custom agents, but lacks Glean's extensive out-of-the-box connector ecosystem.

Find and fix problems in your AI agents before users do
Unified observability, security and incident response for cloud-scale engineering teams
Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search.
SpecialistBuild, share, and control AI agents that actually do the work
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAutomates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.
Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean.
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Connects workplace apps for semantic enterprise search and custom agents, but lacks Glean's extensive out-of-the-box connector ecosystem.
Find and fix problems in your AI agents before users do