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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.

The short answer

Status
everfind | AI workspace failed our last uptime check (Oct 15, 2026); Glean was up on Oct 16, 2026
Free plan
everfind | AI workspace has one; Glean prices on request
Public API
Glean has one; not confirmed by us for everfind | AI workspace
Higher Trust score
Glean — 90 vs 47 for everfind | AI workspace
Best fit
everfind | AI workspace: Product and engineering teams whose documentation is spread across Jira, Confluence, Drive and Slack · Glean: Organisations above roughly 500 people whose knowledge is scattered across a dozen SaaS tools

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

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
Public APINot confirmedYes
Trust score47 / 10090 / 100
PlatformsWebWeb, API, Slack app, Chrome extension
Company—Glean Technologies, Inc.
Launched—2019
Last verifiedOct 15, 2026Oct 16, 2026

What our research says

everfind | AI workspace

everfind aimed at a well-understood pain point, answers scattered across email, Drive, Jira and Confluence, with citation-backed answers instead of a raw file list. On 15 October 2026 its website no longer existed: the domain returns a Framer 'Site Not Found' page and the app address does not answer, so treat the product as unavailable until it reappears.

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

  • Website and app were unreachable on 15 October 2026, so the service may have closed
  • No company name, founder, or country could be established
  • No vendor-published price was ever confirmed; the figures in circulation come from directories

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

everfind | AI workspace vs Glean: the questions people ask

Does everfind | AI workspace or Glean have a free tier?

everfind | AI workspace has a free tier; Glean prices on request.

Which has a public API, everfind | AI workspace or Glean?

Glean ships a public API, as of our last verification. A public API for everfind | AI workspace is not confirmed by us — check its developer docs before you plan an integration.

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