Comparison
Dust Vellum AI
Side-by-side: pricing, features, integrations. Pick the one that fits.
Specs · 5 differences
| Spec | Dust | Vellum AI |
|---|---|---|
| Starting price | Custom | $25/mo |
| Free tier | ||
| Pricing model | freemium | freemium |
| Pricing tiers | — | 1 |
| Best for | Companies looking to enhance team productivity with AI-powered agents. | Teams wanting to build internal and external AI workflow automations. |
| Integrations | — | — |
| Open source | ||
| Last verified | — | — |
Dust
Pros
- Connects company knowledge, tools, and teams
- Offers model flexibility with various AI models
- Facilitates collaboration between human agents and AI
Cons
- No explicit pricing details provided
- Limited information on available integrations
- Lacks specific feature list
Vellum AI
Pros
- No code required through agent building.
- Strong versioning and end-to-end observability.
- Flexible deployment options, including cloud and on-prem.
- Built-in evaluations for improving workflow accuracy.
Cons
- May feel unfamiliar to traditional low-code users.
- Rapid iteration can lead to occasional UI changes.
Verdict
Pick Dust if companies looking to enhance team productivity with AI-powered agents.
Pick Vellum AI if teams wanting to build internal and external AI workflow automations.
Bottom line
Here's a comparison of Dust and Vellum AI:
Both Dust and Vellum AI are low-code/no-code platforms designed to help businesses build and deploy AI-powered agents and workflows, connecting various data sources and AI models without extensive coding. They aim to democratize AI automation, enabling both technical and non-technical teams to leverage AI for tasks like data enrichment and automated follow-ups by integrating with existing business tools. Both emphasize scalability and standardizing AI processes across an organization.
Dust wins with its explicit focus on "no-code agent building" using visual interfaces and natural language, making it highly accessible for business teams without engineering resources. It strongly highlights enterprise-grade security, compliance (SOC 2, GDPR), and explicit "multi-model support" for selecting different LLMs per agent, offering fine-grained control and reassurance for regulated environments. Its emphasis is on building sophisticated, multi-step agents.
Vellum AI wins by positioning itself more broadly as a "low-code AI workflow automation tool" suitable for a wider range of roles from non-technical operators to engineers, and explicitly mentions use cases like "lead scoring" and "CRM enrichment," suggesting a strong focus on sales and marketing automation. Its mention of organizational standardization and scalability implies a more holistic approach to integrating AI across enterprise functions rather than solely agent building.
Pick Dust if you prioritize no-code agent construction with strong enterprise security and specific LLM control, pick Vellum AI if you need a broader low-code workflow automation tool for sales/marketing use cases and organizational AI standardization.
Frequently asked
- Which is cheaper, Dust or Vellum AI?
- Vellum AI starts at $25/mo; Dust uses custom pricing.
- Does Dust have a free tier?
- Yes — Dust offers a free tier.
- Does Vellum AI have a free tier?
- Yes — Vellum AI offers a free tier.
- When should I pick Dust over Vellum AI?
- Pick Dust if your use case matches: companies looking to enhance team productivity with AI-powered agents..
- When should I pick Vellum AI over Dust?
- Pick Vellum AI if your use case matches: teams wanting to build internal and external AI workflow automations..
Related comparisons
Want a deeper dive? Dust profile · Vellum AI profile