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 |
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