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Glean vs Raghim 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. Both ship a public API.

GleanPermission-aware search and agents across company applicationsRaghim AISelf-hostable enterprise agent platform for document RAG, database queries and voice AI, with data-sovereignty controls.

Side by side

FactGleanRaghim AI
CategoryPersonal & Enterprise SearchEnterprise Search
Pricing modelContactContact
Public APIYesYes
PlatformsWeb, API, Slack App, Chrome ExtWeb, API
CompanyGlean TechnologiesRaghim AI
Launched2019—
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

Raghim AI

Raghim's whole pitch is control over data location: everything from document RAG to natural-language database queries can run self-hosted via Docker rather than only in someone else's cloud, which matters for regulated industries that can't send data off premises. That flexibility comes at the cost of a heavier setup than a plug-and-play SaaS chatbot, and there is no visible pricing to gauge cost until you talk to the vendor.

Pros

  • Genuine self-hosted deployment option via Docker, not just a hosted-only product with a compliance label
  • Combines document RAG, SQL and database natural-language queries, and voice AI in one platform instead of three separate tools
  • Enterprise controls such as RBAC, audit logging, retention policies and IP allowlisting are built in rather than bolted on

Cons

  • No published pricing, so budgeting requires a sales conversation
  • Self-hosted deployment requires real infrastructure and Docker operations work
  • Independent, non-vendor reviews of real-world deployments are hard to find

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 Raghim AI if you need

  • Regulated organizations such as finance, healthcare or government-adjacent teams that need enterprise chatbots on infrastructure they control
  • Teams wanting natural-language access to production databases alongside document Q&A in one platform

More comparisons

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