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Glean vs Unframe AI

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. Only Glean ships a public API.

GleanPermission-aware search and agents across company applicationsUnframe AIBuilds custom AI agent deployments for large enterprises and charges only once the deployment shows results.

Side by side

FactGleanUnframe AI
CategoryPersonal & Enterprise SearchAgent Frameworks & Orchestration
Pricing modelContactContact
Public APIYesNo
PlatformsWeb, API, Slack App, Chrome ExtWeb
CompanyGlean TechnologiesUnframe
Launched20192024
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

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

Unframe AI

Unframe is a fit for a large company that wants a custom AI deployment built for its specific systems rather than a generic product it has to adapt to, and the outcome-based pricing removes some of the risk of paying for something that doesn't work. That same custom, sales-led model means there's no way to try it cheaply or self-serve, every engagement starts with a sales conversation.

Pros

  • Outcome-based pricing ties cost to demonstrated value rather than a flat subscription
  • Founding team has prior enterprise-security exit experience, a reasonable trust signal for enterprise buyers
  • Raised substantial funding specifically to build out enterprise deployments
  • Covers agent orchestration, data unification, and voice agents rather than a single narrow feature

Cons

  • No self-serve trial or published pricing, everything runs through a sales process
  • Deployments are custom, so results and timelines likely vary a lot by engagement
  • A young company (founded 2024), so long-term track record is still limited

Which one fits

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

Choose Unframe AI if you need

  • Large enterprises in regulated industries needing a custom AI deployment
  • Companies wanting to tie payment to demonstrated results rather than a flat subscription

More comparisons

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