Enterprise Agent Customization & Local Hosting
We deliver end-to-end custom AI Agent development and private server hosting for corporate clients. Utilizing robust agent frameworks like Dify and LangChain, we integrate large language models with your local vector databases (RAG) and connect them securely to internal ERP, CRM, and collaboration systems (Slack, Teams), ensuring 100% data compliance and network isolation.
Core Features:
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Secure internal knowledge base agents (PDF/Word/RAG smart Q&A)
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Deployment of frameworks (Dify/LangChain) on your hardware or private cloud
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Integration with enterprise systems (ERP, CRM, Slack) via API/MCP
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100% data compliance, complete network isolation of private records
💡 Detailed Service Info:
As generative AI scales within organizations, data security and decision accuracy have emerged as the primary bottlenecks for deployment. Our Enterprise Agent Customization service is designed to solve this, delivering a 100% compliant, secure, and deeply integrated system that interfaces with your ERP, CRM, and internal databases.
We begin by establishing a private knowledge base using your internal documents (PDFs, Word, Excel). Using advanced Retrieval-Augmented Generation (RAG) and hybrid search, we ensure the agent provides accurate, context-aware answers based strictly on your company rules, preventing hallucinations.
Next, we host the entire orchestration framework (such as Dify or LangChain) and open-source models (such as DeepSeek-R1) on your local hardware or private VPC, ensuring complete data ownership and network isolation.
Finally, using the Model Context Protocol (MCP), we securely bridge the agent with communication channels like Slack and Teams, enabling automated batch processing and backend updates.
FAQ / Service Details
Not necessarily. For small-to-medium internal knowledge bases running 7B to 32B model variants, a cost-effective consumer GPU (such as RTX 4090 or RTX 4060 Ti 16G) can easily support dozens of concurrent users. For heavy-duty analytical tasks, we can help set up multi-GPU server rigs or secure private cloud gateways.
We build automated synchronization pipelines. Whenever your team uploads new documents to a shared network directory, document portal, or database, the agent automatically slices, embeds, and updates the RAG indexes overnight without manual intervention.
Our system includes a central feedback and quality assurance dashboard. Admins can lock in 'Standard Q&A' overrides, tweak retrieval thresholds, and constrain the model's response boundaries. For high-risk tasks, a human-in-the-loop router automatically intercepts low-confidence outputs.
We deploy entirely using Docker containerization, which ensures maximum compatibility. Whether it is a local bare-metal Linux server (Ubuntu, CentOS), a Windows Server, or a private VPC on AWS/Azure, we can spin up the environment within hours.
Yes, we fully support 100% offline, air-gapped operations. All vector databases, file extraction processors, and LLM inference routines run entirely within your local local server. No data ever leaves your network perimeter.
Extremely easy. Our architecture completely decouples model inference from the upper-level Agent workflow layer. When new state-of-the-art models (like future DeepSeek iterations) are released, we simply point the backend (Ollama/vLLM) to the new weights, keeping your business rules intact.