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Contextual AI vs Glean

A side-by-side comparison of Contextual AI and Glean, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Contextual AI

Search

Enterprise RAG platform for building grounded, specialized AI agents over technical knowledge.

View Contextual AI

Glean

Assistant

Work AI: enterprise search, assistant, and agents over your apps.

View Glean

At a glance

Feature comparison of Contextual AI and Glean
AttributeContextual AIGlean
Category (differs)SearchAssistant
PricingPAIDPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APIWeb, Browser extension
Model support (differs)Multi-model
Vendor (differs)Contextual AIGlean Technologies
Capabilities (differs)
  • RAG pipeline
  • Cited answers
  • Chat with documents
  • Unified search
  • Document parsing (structured)
  • Workflow orchestration
  • Multi-agent orchestration
  • Unified search
  • Knowledge graph
  • RAG pipeline
  • AI app builder

The honest brief

Contextual AI

Built around specialized, individually-tunable RAG components — parse, rerank, and generate — for grounded accuracy in high-stakes technical domains.

  • Purpose-built for grounded, citation-backed answers
  • Agentic search and research layer
  • Private VPC and single-tenant deployment options
  • Founding team pioneered RAG research
  • Pricing is enterprise sales-led, not transparent
  • Aimed at technical/regulated industries, not consumers
  • Requires data and knowledge-base setup to shine

Glean

Permission-aware knowledge graph that no-code agents can act on, not just search across your enterprise apps.

  • Indexes 100+ enterprise apps
  • Enforces each user's existing permissions
  • No-code custom agents
  • Strong onboarding/knowledge ROI
  • Opaque, sales-only enterprise pricing
  • High seat minimums (~100 users)
  • IT-heavy to deploy and maintain
  • Limited to supported connectors

When to pick which

Both cover RAG pipeline and Unified search.

Pick Contextual AI if you need Cited answers, Chat with documents, and Document parsing (structured).

  • Cited answers (primary capability)
  • Chat with documents (secondary capability)
  • Document parsing (structured) (secondary capability)

Pick Glean if you need Workflow orchestration, Multi-agent orchestration, Knowledge graph, and AI app builder.

  • Workflow orchestration (primary capability)
  • Multi-agent orchestration (secondary capability)
  • Knowledge graph (secondary capability)
  • AI app builder (secondary capability)

They share capabilities, but each leads with different ones as a headline job:

Contextual AI is built around RAG pipeline.

  • RAG pipeline (primary capability)

Glean is built around Unified search.

  • Unified search (primary capability)

They also differ on:

Platforms
Web, API · Web, Browser extension