Dust vs Relevance AI

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed August 2026
Dust logo

Dust

Dust

Multiplayer AI for human-agent collaboration

Freemium
84% verification coverage
VS
Relevance AI logo

Relevance AI

OnSearch Pty Ltd

Specialist agents for every task

Paid
80% verification coverage

Trust & Reliability

Dust

Users:1K-10K
Customers (per vendor):Alan, Doctolib, PayFit +7
GDPR
SOC 2
HIPAA

Relevance AI

Customers (per vendor):Canva, Autodesk, Lightspeed Commerce +5
GDPR
SOC 2

Too Close to Call

Relevance AI (7.3) vs Dust (7.2) — difference of 0.2 points

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

Dust

7.2

avg score

Relevance AI

7.3

avg score

Both tools score very similarly overall — the best choice depends on your specific priorities.

Based on 6 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Too close to call — it's a tie

Dust

Best For
Teams creating and sharing AI agents across departments
Companies needing to connect AI agents to diverse internal knowledge bases and SaaS tools
Organizations requiring robust security, governance, and audit capabilities for AI adoption
Teams looking to automate complex, multi-step workflows with human oversight

Relevance AI

Best For
Enterprise teams looking to scale AI agent deployment
Organizations aiming to automate complex workflows
Sales teams needing to personalize outbound engagement
Customer success teams managing renewals and inbounds

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Dust is best for

🤖Automation & Agents6.2💬Chat & Conversation6.0🔍Research5.6

Relevance AI is best for

🤖Automation & Agents7.5💬Chat & Conversation6.3🎧Customer Support6.0

Filter by your use case:

Limitations

DustDust

Cons

  • Free plan has limited credits (500 lifetime)
Relevance AIRelevance AI

Cons

  • Multi-agent systems like the BDR agent are only available via the sales team.
  • The platform is primarily designed for enterprise teams, suggesting a higher barrier to entry for smaller businesses.
  • Specific details on data retention periods are not explicitly stated beyond general security measures.
  • The pricing for enterprise features is custom and requires contacting sales, lacking transparency for initial budgeting.
Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5
Customization5
Support5
Integration5
Compliance & Data Protection5
Performance5
Planning Quality5

Dimension Comparison

Ease of UseCustomizationSupportIntegrationCompliancePerformancePlanning

Dust

7.2

/ 10

Relevance AI

7.3

/ 10

Your pick

Dimension Breakdown

Ease of Use

AI

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

Dust
3.0▲ +1.0
Relevance AI
2.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

Dust
9.0
Relevance AI
10.0▲ +1.0

Support

AI

How strong is the documentation, customer support, community, and learning resources?

Dust
7.0
Relevance AI
8.0▲ +1.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

Dust
9.0
Relevance AI
10.0▲ +1.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

Dust
7.0▲ +1.0
Relevance AI
6.0

Performance

Calculated

Latency + throughput speed

Dust
8.0
Relevance AI
8.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Dust
—
Relevance AI
—

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

Dust

Task

Relevance AI

7.0
Role Definition
8.0
6.0
Task Decomposition
7.0
7.0
Agent Coordination
8.0
6.0
Inter Agent Communication
7.0
8.0
Workflow Orchestration
8.0
7.0
Tool Use Delegation
8.0
6.0
State Management
7.0
5.0
Error Recovery
7.0
7.0
Observability
8.0
6.0
Scalability Throughput
7.0
6.0
Task Delegation
8.0
5.0
Parallel Execution
7.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between Dust and Relevance AI?
Dust — "Multiplayer AI for human-agent collaboration". Relevance AI — "Specialist agents for every task". The Features section on this page compares them side by side.
Who is Dust best for compared with Relevance AI?
Dust is best for Teams creating and sharing AI agents across departments; and for Companies needing to connect AI agents to diverse internal knowledge bases and SaaS tools. Relevance AI is best for Enterprise teams looking to scale AI agent deployment; and for Organizations aiming to automate complex workflows.
How does the pricing of Dust compare with Relevance AI?
Dust is freemium, includes a free plan, offers a free trial. Relevance AI is paid, includes a free plan, offers a free trial. Always verify current pricing with the vendor.
Does Dust or Relevance AI have a free plan?
Dust has a free plan and offers a free trial. Relevance AI has a free plan and offers a free trial. Always verify current pricing with the vendor.
Do Dust and Relevance AI offer an API?
Dust offers a public API. Relevance AI offers a public API.

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.