Private AI for n8n Workflows

n8n is powerful for automating business processes. Adding LLM capabilities makes it more powerful still. But if your workflows handle sensitive data, sending that data to public AI providers may conflict with your privacy requirements.

Private AI inference solves this by keeping your workflow data under your control.

Why n8n + private inference

Keep workflow data local

When n8n processes documents, customer communications, or internal data, you probably don't want that data leaving your defined boundary. Private inference means the AI step in your workflow doesn't become a data leak.

No third-party data exposure

Public AI APIs receive your prompts and return responses. What happens to that data on their end is governed by their policies, not yours. Private inference eliminates that handoff.

Consistent performance

Shared infrastructure means shared resources. During peak times, latency can spike. Dedicated inference infrastructure gives you predictable performance without competing for capacity.

How it works

n8n connects to private endpoints

n8n's HTTP Request node and OpenAI-compatible nodes can point to any endpoint URL. Instead of calling OpenAI directly, you configure them to call your private inference endpoint.

OpenAI-compatible nodes work unchanged

If you're using n8n's built-in OpenAI nodes, they work with Juice Factory's API because the interface is compatible. Same request format, same response format.

Your n8n instance, your rules

Whether you self-host n8n or use n8n Cloud, the connection to private inference is just a URL and credential configuration. Your workflows stay under your control.

Use cases

Document processing workflows

Automate extraction, summarization, or classification of documents without sending their contents to third-party AI providers.

Customer communication automation

Route, analyze, or draft responses to customer messages. Keep the content of those communications private.

Internal knowledge assistants

Build workflows that answer questions from internal knowledge bases. The questions and answers stay within your infrastructure.

Getting started

What you need

• An n8n instance (self-hosted or cloud)
• Juice Factory API access
• Your endpoint URL and API key

Connection overview

1. In n8n, create a new credential for OpenAI (or HTTP Header Auth)
2. Set the base URL to your Juice Factory endpoint
3. Add your API key
4. Use the credential in your AI nodes

No special configuration. No custom nodes. Standard n8n capabilities with private infrastructure.

Next steps

If you're running n8n workflows that would benefit from AI capabilities without the data privacy trade-offs, request access to learn how Juice Factory integrates with your setup.

We'll help you understand what the connection looks like and whether private inference fits your workflow requirements.