Diaflow is an autonomous AI agent platform that lets you build internal tools, automate workflows, and deploy AI chatbots without writing code. It integrates AI models from OpenAI, Anthropic, Google, and more into a drag-and-drop workflow builder. Teams use it to create customer support bots trained on their own data, generate documents, process images, and connect apps across 200+ integrations. Diaflow hosts AI models in a private cloud environment, so your data stays isolated and is never used for model retraining.

• No-Code Workflow Builder: Create AI-powered automations with a drag-and-drop interface. Mix and match AI models within a single workflow to optimize for quality and cost.
• Autonomous AI Agents: Deploy agents that understand context, make decisions, and handle multi-step tasks without human intervention.
• Built-In AI Models: Access models from OpenAI, Anthropic, Google, Meta, Mistral, and Cohere directly inside your workflows. No API keys needed since credits cover model usage.
• Internal App Builder: Build fully functional internal applications with user-facing interfaces and publish them with their own URL, publicly or privately.
• AI Chatbot with Custom Knowledge: Train chatbots on your own documents, articles, and URLs using a vector-based knowledge system so they answer from your actual business data.
• Productivity Suite: Includes AI-powered document editor, spreadsheets, cloud drive storage, and professional document generation with your branding.
• 200+ Integrations: Connect with Slack, Gmail, Google Sheets, Outlook, Salesforce, PostgreSQL, MongoDB, Snowflake, and many more via simple drag-and-drop.
• Private Cloud Security: AI models run in an isolated environment. Supports SOC 2, GDPR, HIPAA readiness, RBAC, and encryption. On-premise hosting available for enterprises.

• Clean and Intuitive Interface: Users consistently praise the UI as polished and easy to navigate, making workflow building feel straightforward even for non-technical users.
• Integrated AI Models Without Extra API Costs: AI model usage is bundled into your credits, so you don't need separate API subscriptions to OpenAI, Anthropic, or others.
• Flexible Model Mixing: You can route different parts of a workflow through different AI models, optimizing for quality or cost depending on the task.
• Versatile Platform: Covers automation, internal app building, AI chatbots, document generation, and data management in a single tool rather than requiring multiple subscriptions.

• Documentation Needs Improvement: Several users report that guides and tutorials are still limited, which can make onboarding harder for first-time users.
• Credit-Based Pricing Can Be Restrictive: Heavy users may find that credit limits run out quickly, especially for workflows involving many API calls or email sends.
• Relatively New Platform: Compared to established tools like Make or n8n, Diaflow has fewer integrations and a smaller community. Some features are still on the roadmap.
• Limited Third-Party Customization: While the core workflow builder is flexible, deeper integrations with certain external tools could be more developed.

• Customer Support Automation: Build an AI chatbot trained on your product documentation and FAQs. It answers customer questions using your actual business knowledge, reducing ticket volume and response times.
• Internal Tool Development: Create custom internal apps for your team, like a social media post generator that takes an article URL and produces platform-ready content, complete with its own shareable URL.
• Document Processing and Generation: Automate invoice scanning, data extraction from PDFs, and professional document creation with your company branding. Useful for finance and operations teams handling high volumes of paperwork.
• Marketing Workflow Automation: Chain AI models together to research topics, draft content, and distribute it across channels. Use industry templates to get started quickly with email campaigns, social media scheduling, and lead enrichment.
• Multi-Model AI Pipelines: Route tasks through different AI models within a single workflow. For example, use Claude for nuanced writing tasks and a faster model for data extraction, optimizing both quality and cost.
• Knowledge Base Management: Upload company documents, product specs, and training materials into Diaflow's vector storage. Your AI agents and chatbots then reference this data to provide accurate, context-aware responses.