Dust vs Relevance AI
A side-by-side comparison of Dust and Relevance AI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Dust
AgentEnterprise platform for building and sharing custom AI agents on company knowledge.
View DustRelevance AI
AutomationBuild and manage a workforce of AI agents for business processes.
View Relevance AIAt a glance
| Attribute | Dust | Relevance AI |
|---|---|---|
| Category (differs) | Agent | Automation |
| Pricing (differs) | PAID | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Dust | Relevance AI |
The honest brief
Dust
Org-wide 'multiplayer' AI over shared company knowledge — agents are built once and reused across teams, not siloed per user.
- Agents shareable across the org
- Broad workspace connector library
- Per-agent choice of frontier models
- MIT-licensed open codebase
- No free tier beyond a 14-day trial
- Per-seat cost scales with org size
Relevance AI
Prices on 'actions' with unlimited agents on every tier, so cost tracks work done rather than per-agent headcount.
- Unlimited agents on all tiers
- No-code multi-agent 'workforce' builder
- BYO-LLM on paid plans
- Library of tools and triggers
- Action-based billing can be opaque
- Cloud-only, no self-host
- Governance depth still maturing