See llms.txt for all machine-readable content.

Let your 
customers build 
workflows inside 
your product.

Embed n8n's visual workflow builder and 400+ connectors into your product's UI. Your customers automate, integrate, and configure, all without leaving your application.

Building workflow automation in-
house rarely pays off

Slow to build

A visual builder, execution engine, connectors, error handling, and permissions. It's a multi-year project before anything is production-ready.

Heavy to maintain

Every connector you build is one you maintain. APIs change, auth breaks, edge cases pile up. The work compounds and pulls your team away from the core product.

Lack of alternatives

Most iPaaS platforms are standalone and cloud-only. They were designed for internal automation teams, with per step pricing that compound over time

Introducing OEM

Your path to becoming an Expert Partner

Visual workflow canvas

Your customers drag, drop, and connect steps on a canvas that lives inside your product.

500+ integrations

Pre-built connectors for the tools your customers already use. You can add custom nodes for your own API.

Code and AI nodes

JavaScript or Python in any step. Built-in AI agent nodes for workflows that need to reason.

Enterprise features

RBAC, SSO, audit logging, API key scoping, and credential management are all included.

Observability and monitoring

Execution history, real-time alerts, log streaming, and usage dashboards are built in.

Self-hosted by default

Runs in your infrastructure. Your customers' data stays in your environment.

Why using OEM?

Integration becomes a product

Your customers handle integrations themselves. What used to drain engineering time can become a revenue line.

Ship in months, not years

You're embedding a product that already works. One partner built a POC over a weekend.

Pricing that scales with your business

Execution based pricing with unlimited instances, workflows and steps. Your costs stay predictable as you grow.

FAQ

Simple enough to 
understand + sophisticated 
enough to ship

Join the teams building AI automation they can actually explain.