Build AI applications faster with Dify. We develop chatbots, RAG systems, agent workflows, and text generation tools using the Dify platform — combining low-code speed with production-grade infrastructure. Self-hosted or cloud, with any LLM.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Build AI chatbots and assistants with Dify visual builder. Conversation design, persona configuration, knowledge base integration, and embedding in your web app, mobile app, or Slack/Teams workspace.
Configure Dify built-in RAG pipeline — document upload, chunking strategies, embedding models, hybrid retrieval, and re-ranking. Connect PDFs, Notion, web pages, and APIs as knowledge sources.
Build multi-step agent workflows with Dify visual workflow editor. Tool calling, conditional logic, iterations, code execution, and human-in-the-loop nodes for complex business processes.
Deploy Dify on your own infrastructure — AWS, GCP, Azure, or on-premise. Docker/Kubernetes setup, SSL, SMTP, vector database configuration, and model provider connections. Full data sovereignty.
Integrate Dify applications into your product via API. Embed chatbots in web pages, connect to mobile apps, and integrate with backend systems through Dify completion and conversation APIs.
Extend Dify with custom tools — API connectors, database queries, file processors, and business logic. Build tools that give Dify agents access to your internal systems and data.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
We combine Dify visual builder speed with custom code when needed. Complex tool integrations, custom embedding pipelines, and advanced workflows that go beyond drag-and-drop.
We deploy and maintain self-hosted Dify instances — Kubernetes clusters, GPU provisioning for local models, backup strategies, and upgrade management. Enterprise-grade infrastructure.
We configure the right LLM for each task — GPT-4o for reasoning, Claude for analysis, Llama for cost-sensitive workloads. Multi-model workflows that optimize quality and cost.
Dify built-in RAG is a starting point. We optimize chunking, embedding models, retrieval strategies, and re-ranking to achieve 85-95% accuracy on your specific knowledge base.
Use Cases
Each use case links to a dedicated implementation page so teams can review architecture patterns in detail.
AI chatbot trained on your help docs, FAQ, and product knowledge. Dify RAG ensures accurate answers with source citations. Embeds in your website or app.
Employee-facing AI that answers questions from HR policies, engineering docs, and company procedures. Self-hosted for data privacy with SSO integration.
Multi-step content pipelines — research, outline, draft, edit, SEO optimize. Dify workflows with human review checkpoints at each stage.
Extract structured data from contracts, invoices, and forms. Dify agent workflows that parse documents, validate data, and push to your systems.
Lead qualification chatbots, email sequence generators, proposal drafters, and competitor analysis agents built on Dify workflow platform.
AI agents that review documents against compliance checklists, flag issues, and generate audit reports. Knowledge base grounded in regulatory frameworks.
Execution Framework
Define AI application requirements, set up Dify instance (cloud or self-hosted), and configure model providers
Design workflows, configure RAG knowledge base, build custom tools, and set up agent behaviors
Test conversations, optimize RAG accuracy, tune prompts, and validate workflow edge cases
Production deployment, API integration with your application, monitoring setup, and team training
FAQ
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Tell us about your AI application needs — we'll design a Dify-powered solution that gets you to production fast with the right models, knowledge base, and workflow design.