Private AI n8n Automation Dify AI Platform
Data Sovereignty Case Studies
Configure Your Setup
Dify AI Platform

From Idea to AI App.
No Code. No Cloud.

Dify is an open-source AI application platform. Build RAG pipelines, AI agents, chatbots, and intelligent workflows without writing code. Deployed on your own hardware, managed by us. Your data never leaves your building.

Data stays on your premises, no cloud processing
Build RAG pipelines, agents, and chatbots visually
Delivered & live in under four weeks

Everything You Need to Build and Run
AI Applications Privately.

Dify gives your team a complete AI application platform, including visual builder, RAG engine, model management, and integrations, deployed on your hardware, managed by us.

Visual Workflow Builder

Build AI applications, RAG pipelines, and agent workflows using a drag-and-drop interface. No coding required. Business teams can design, iterate, and deploy without waiting for engineering resource.

RAG Pipeline: Ask Your Documents

Connect your internal documents, PDFs, wikis, and databases. Dify's RAG engine turns fragmented internal knowledge into intelligent, searchable answers. All processing happens on your hardware.

Model Agnostic: Local or Hybrid

Run fully on local open-source models for complete data sovereignty, or route specific non-sensitive queries to external APIs. You control which data goes where and under what conditions.

Built for Non-Technical Teams

Your operations, compliance, legal, or finance teams can build and iterate on AI applications directly. Dify's interface is designed for business users, not engineers.

Managed and Monitored

We handle deployment, updates, security patches, and ongoing monitoring. You get enterprise AI application capability without needing an ML engineer or DevOps team on staff.

Connects to Your Infrastructure

Dify integrates with n8n and Private AI if you run them. Use local models as the intelligence layer inside your workflows. Everything stays within your network.

Building AI Applications Should Not
Require a Development Team.

Most organisations face the same three barriers to deploying AI internally. Dify removes all of them.

Cloud AI Tools Create Exposure

Most AI application platforms, including OpenAI, Azure OpenAI, and Bedrock, process your data on US-owned infrastructure. For organisations handling confidential client data, that creates legal, regulatory, and reputational risk that is difficult to contract away.

Internal Build Projects Fail Slowly

Custom AI development takes months, requires specialist engineers, and produces brittle systems that are expensive to maintain. Most organisations that start building from scratch do not reach production. Dify provides the platform layer so your team can focus on the application, not the infrastructure.

Business Teams Are Locked Out

When AI applications require developer involvement for every change, adoption stalls. Dify's visual interface means your compliance team can adjust a workflow, your legal team can update a knowledge base, and your operations team can build a chatbot, without raising a ticket.

From Contract to Running System
in Under Four Weeks.

No extended IT projects. No dedicated platform team required. We handle the entire deployment; your team is building applications before the month is out.

1

Scoping call & configuration

We understand your infrastructure, compliance requirements, and what you want to build. You select your hardware tier and support level. Pricing is confirmed, contract signed. No surprises later.

Days 1–3
2

Hardware delivery & deployment

If you're using our hardware appliance, it ships pre-configured. If you're using your own VM or server, we connect and deploy remotely. Dify is deployed, hardened, tested, and handed over with documentation.

Days 7–21
3

Onboarding & ongoing management

A remote onboarding session helps your team start building applications. From there, platform operations are ours — monitoring, patching, backups, and support. Your team focuses on building, not infrastructure.

Day 21 onwards

What Teams Build With Dify.

Practical AI applications your team can build, iterate on, and deploy without writing code or sending data to the cloud.

Internal Knowledge Assistant

Ask questions across your entire document library: contracts, policies, reports, client files. Get accurate, cited answers in seconds. Built on your data, running on your hardware.

Client-Facing Chatbot

Deploy a branded AI assistant on your website or internal portal. Powered by your knowledge base. No data sent to third-party AI providers.

Automated Document Workflows

Classify incoming documents, extract key clauses, route for review, generate summaries. Build the workflow visually in Dify, connect it to n8n for triggering and distribution.

Compliance and Audit Support

Build agents that monitor regulatory updates, flag policy gaps, or draft compliance responses using your internal data and procedures, with full audit logging.

Built for Organisations That Need AI Capability
Without Cloud Dependency.

Questions We Get Asked.

Direct answers. No sales language.

Do we need developers to use Dify?
For most use cases, such as building chatbots, knowledge assistants, and document workflows, no. Dify's visual interface is designed for non-technical users. For complex custom integrations or API connections, some technical input may help, but the core platform is fully accessible to business teams.
What AI models does it run?
We deploy open-source models locally: Llama, Qwen, Phi, and others depending on your hardware tier and use case. For organisations that want to selectively use external APIs for non-sensitive queries, Dify supports hybrid routing. You define what goes where.
How does the RAG pipeline work?
You connect your document sources: PDFs, wikis, SharePoint, databases. Dify processes and indexes them locally. When a user asks a question, Dify retrieves the most relevant content and passes it to the model for a grounded, cited answer. No data leaves your infrastructure.
Can it connect to our other systems?
Yes. Dify integrates with n8n for workflow automation and with Private AI if you run local models separately. It also supports standard API connections to internal systems. All integrations run within your network.
What does ongoing management include?
We monitor platform health, apply security and version updates, and provide support under your chosen tier. Standard support covers email during business hours. Enterprise support adds phone, chat, scheduled maintenance windows, and documented change logs.
Is Dify open source?
Yes. Dify is open source under the Apache 2.0 licence with additional conditions. The Community Edition is free to use for internal business purposes. We handle the deployment, configuration, and ongoing management so you get the benefit of the open-source platform without the operational overhead.

Build and Run AI Applications In-House.

Configure your setup online. Get transparent pricing instantly. No sales call required.

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Delivered in under four weeks. Supported every day after that.