Dust vs Relevance AI
Both put a team's AI work in one shared place rather than in individual chat windows, both are low-code, and both expose an API, so either can become part of a larger system rather than a destination of its own. Both are hosted only: neither can be run on your own infrastructure.
| Criteria | Enterprise knowledge assistant over Notion, Slack, Drive and GitHub, with sub-agent delegation. | Specialist AI Agents for Every Task | Relevance AI |
|---|---|---|
| Pricing | ||
| Starting price | From €24.00 | Free |
| Capabilities | ||
| Free tier | Yes | Yes |
| Open source | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
Our verdict
The split is the paid entry point. Relevance AI lists a starting price of zero, so a team can run on it without a commitment and pay only as usage grows. Dust's paid plans start at EUR 24 per month, billed in euros. Both offer a free tier, so the comparison is where the first bill appears rather than whether you can try them. Both expose an API, which is the field to check if the intent is to build on top rather than work inside; that was verified against each vendor's own documentation rather than assumed. Neither is open source and neither is self-hostable, so in both cases your team's work sits on the vendor's platform.