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
SearchEnterprise RAG platform for building grounded, specialized AI agents over technical knowledge.
View Contextual AIAt a glance
| Attribute | Contextual AI | Glean |
|---|---|---|
| Category (differs) | Search | Assistant |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | Web, Browser extension |
| Model support (differs) | — | Multi-model |
| Vendor (differs) | Contextual AI | Glean Technologies |
| Capabilities (differs) |
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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