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everfind | AI workspace vs Glean

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. everfind | AI workspace publishes a starting price ($19); Glean does not. Only everfind | AI workspace has a free tier. Only Glean ships a public API.

everfind | AI workspaceEnterprise search across email, Drive, SharePoint, Jira, Confluence, Slack, Miro and FigmaGleanPermission-aware search and agents across company applications

Side by side

Facteverfind | AI workspaceGlean
CategoryEnterprise SearchPersonal & Enterprise Search
Pricing modelFreemiumContact
Starts at$19 month—
Public APINoYes
PlatformsWebWeb, API, Slack App, Chrome Ext
Company—Glean Technologies
Launched—2019
Last verifiedSep 1, 2026Sep 6, 2026

What our research says

everfind | AI workspace

everfind targets a well-understood pain point - answers scattered across email, Drive, Jira and Confluence - with citation-backed answers instead of a raw file list, and independent reviews describe a workable free-to-Pro-to-Team pricing ladder. This review could not reach the vendor's own site directly, so treat the pricing and feature claims here as corroborated secondhand rather than vendor-confirmed.

Pros

  • Named integrations span email, drives, and dev-team tools (Jira, Confluence, Miro, Figma) in one search
  • Answers are reported to come with citations rather than only a file-link list
  • A free tier is reported to exist before the paid Pro tier

Cons

  • The vendor's own website returned errors on every page checked during this review, so nothing here is vendor-confirmed firsthand
  • No company name, founder, or country could be established
  • No API access confirmed for the platform

Glean

Glean is the reference implementation of permission-aware enterprise search, and permissions are the hard part everyone else underestimates. It is also priced so that only companies with a real sprawl problem can justify it.

Pros

  • Permission inheritance from each connected system is done properly, not approximated
  • Answers cite and link the underlying documents rather than paraphrasing them away
  • Connector coverage across the mainstream SaaS estate is broad
  • Commercially solid: about $300M ARR by May 2026 at a $7.2B valuation

Cons

  • No published price anywhere, and contracts start in six figures
  • Value depends entirely on connector coverage of your specific stack
  • Index quality inherits whatever mess exists in the source systems
  • Overlaps increasingly with Microsoft and Google's bundled offerings, which cost nothing extra

Which one fits

Choose everfind | AI workspace if you need

  • Product and engineering teams whose documentation is spread across Jira, Confluence, Drive and Slack
  • Teams that want cited answers rather than a search-results list

Choose Glean if you need

  • Organisations above roughly 500 people whose knowledge is scattered across a dozen SaaS tools
  • Regulated or security-conscious buyers who need source-system permissions honoured exactly
  • Teams building internal agents that need governed access to company context

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