Cua vs Dust

Detailed side-by-side comparison to help you choose the right tool

Cua

🔴Developer

AI Agents

Cloud desktops for AI agents — give Claude Code, Codex or any computer-use agent its own isolated macOS or Linux VM.

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Starting Price

Custom

AI Agents

Dust review 2026: enterprise AI platform from Paris for building governed agents grounded in Slack, Drive, Notion — features, pricing, pros, cons.

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Starting Price

Custom

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Feature	Cua	Dust
Category	AI Agents	AI Agents
Pricing Plans	157 tiers	8 tiers
Starting Price
Key Features		• Visual app builder for designing multi-step LLM workflows without code • Managed retrieval-augmented generation (RAG) with semantic search over connected data • Multi-model support across GPT-4, Claude, Mistral, and other LLMs

✓macOS cloud desktops are rare and useful for Apple-only app workflows
✓MCP-native — works with any agent runtime that speaks MCP
✓Per-session isolation, recording, and revocation solve real compliance blockers
✓Removes the operational tax of running your own VM fleet for computer-use agents

✗Per-hour billing can be expensive for always-on agents — model carefully
✗Hourly rate must be verified directly with vendor (no live confirmation from curl)
✗Windows support tends to lag macOS/Linux in cloud-desktop products
✗Cua removes infra friction but does not fix the underlying fragility of computer-use models

✓Strongest sovereign / EU data story among enterprise agent platforms — important for regulated European buyers
✓Per-source permission inheritance from connected systems prevents accidental information leakage
✓Model-portable: a single agent can switch among Claude, GPT, Gemini, Mistral without rebuilding

✗Per-seat enterprise pricing requires a sales conversation — no public price calculator
✗Smaller integration catalogue than Microsoft Copilot or Glean for very large/heterogeneous IT estates
✗Agent quality depends heavily on connected-source quality; messy Notion or Drive content produces messy agents

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