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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Dust
✓ verifiedFree
AI assistant for teams with secure LLM and company-knowledge access.
692K visits/mo
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Dify.ai
✓ verifiedFreemium
Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
1.1M visits/mo
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anakin.ai
✓ verifiedFreemium
All-in-one no-code platform to build AI apps, chatbots and workflows across many models for content, images and automation.
358K visits/mo
Pricing
No public pricing
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year
Free: $0/mo (30 credits/day)
Basic: $9.90/mo (9,000 credits)
Pro: $19.90/mo (19,000 credits)
Premium: $39.90/mo (39,000 credits)
Core features
- ✦Unified and safe access to GPT-4
- ✦Connection to team's data for up-to-date answers
- ✦Customizable AI agent building without code
- ✦Team collaboration features for sharing prompts and conversations
- ✦Suggestions for documentation updates and improvements
- ✦Visual workflow studio for agents
- ✦RAG knowledge pipelines
- ✦Agent runtime with tools and memory
- ✦Marketplace of models and plugins
- ✦Publish as app, API or MCP tool
- ✦Logging, analytics and monitoring
- ✦1,000+ prebuilt AI apps
- ✦No-code AI app and chatbot builder
- ✦Access to multiple LLMs (GPT, Claude, Gemini, DeepSeek)
- ✦Workflows and automation
- ✦Batch processing over tables of records
- ✦Image, video and voice generation
Use cases
- →RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
- →PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
- →Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
- →Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
- →Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
- →Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale
- →Generating marketing and content copy
- →Building branded chatbots on your data
- →Automating repetitive document tasks
- →Bulk content generation and data labeling
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