Self-hosted automation that keeps your data on infrastructure you own

What 'self-hosted' actually means for your data

When we self-host your automation, the engine that runs your workflows lives on a server you own, your own cloud account, a private VPS, or hardware in your building. The default engine we use is n8n, an open-source workflow tool that installs on your infrastructure and never phones home. Your data moves between your systems and, where you use them, the AI models you choose, and nothing sits on a third party's automation cloud in between.

That is the core difference from tools like Zapier or Make, where every record you process passes through their servers and is subject to their retention, their location, and their pricing. With a self-hosted setup, the customer email, the payment reference, the medical intake form: it stays inside your perimeter unless you deliberately send it out. You decide the data residency, the retention window, and who can see the logs. For a European business under GDPR, that is not a nice-to-have, it is often the difference between an automation you can legally ship and one you cannot.

When self-hosting is worth it, and when it is not

Self-hosting is not automatically better. It trades a monthly SaaS bill for a server you have to keep running, patched, and backed up. We recommend it when the data is genuinely sensitive, when you operate under GDPR or industry rules that make data location a compliance question, or when your volume is high enough that per-operation pricing has become a real line item. A flow processing tens of thousands of tasks a month that would cost hundreds on a metered plan runs for the price of a small server when self-hosted.

We do not recommend it for a two-step flow that moves a form submission into a CRM once a day. That is a job for hosted Zapier or Make, and pretending otherwise just saddles you with infrastructure you do not need. The right answer is often a blend: self-host the workflows that touch sensitive data or run at volume, and use hosted tools for the low-stakes, low-volume glue. We make that call with you against your actual data and workflows, the same no-code-versus-code discipline we apply across the stack.

• Sensitive data: health records, financial detail, legal documents, personal data at scale
• GDPR or sector rules where data residency and processor location matter
• High-volume flows where per-operation SaaS pricing has become expensive
• Long-term automations you want to own outright, not rent indefinitely
• Skip it for simple, low-volume flows between popular SaaS apps: hosted tools win there

How we build and run it

We deploy self-hosted n8n on infrastructure you own, usually a container on your cloud account (AWS, Hetzner, a private VPS, or your existing Kubernetes) or on-premises hardware when the rules demand it. The setup is hardened, not a default install: encrypted connections, credentials stored in a secrets manager rather than in plain workflow files, role-based access so the right people see the right flows, and automated backups so a lost server does not mean lost automation. We wire it into your real tools, your CRM, ERP, helpdesk, and databases, through their APIs, the same cross-tool integration work we do everywhere.

Where AI is part of the flow, you keep control of where the model runs. You can route to a commercial API when that is acceptable, use a model with a strict no-training data agreement, or run an open-weight model on your own hardware so prompts and outputs never leave your network at all. We help you pick per workflow based on the sensitivity of the data, not a blanket policy. Then we run it: monitoring, alerts when a flow fails, version control on every workflow, and updates applied on a schedule rather than whenever a vendor decides.

• Deployment on your cloud, VPS, or on-prem hardware, your account, your control
• Hardened config: encrypted transport, secrets manager, role-based access, backups
• n8n's own JavaScript and Python nodes for logic no connector can handle
• Optional on-network AI models so prompts and outputs never leave your perimeter
• Monitoring, failure alerts, and version-controlled workflows we maintain for you

No lock-in, including from us

Owning your infrastructure is worth little if the automation on top of it is a black box. So everything we build is yours: the workflows, the custom code, the documentation, and the credentials, all running on your accounts. Because n8n is open source, there is no proprietary runtime you are chained to and no per-seat license clock. If you decide to bring the work in-house or move to a different partner, you export the workflows and take them with you. Nothing holds your automation hostage.

This is a deliberate contrast with how a lot of automation gets sold. Managed platforms and closed integration tools make leaving expensive on purpose: your logic is trapped in their format, your data in their cloud, your budget tied to their pricing. Self-hosting on open tooling inverts that. Your costs stop scaling with every extra task, you are not one pricing change away from a doubled bill, and the exit door is always open. We would rather earn the next project than lock you into this one.

Cost, timeline, and the trade-offs we are honest about

A self-hosted setup carries real costs a hosted plan hides. You pay for the server, and you pay, in our retainer or your team's time, for keeping it patched, backed up, and monitored. A typical first deployment, provisioning the infrastructure, hardening it, migrating or building the initial workflows, and setting up monitoring, runs three to six weeks depending on how many flows move at once. The saving shows up over the following months: no per-operation fees, predictable server costs, and data that never leaves your control.

The honest trade-off is operational responsibility. A hosted tool absorbs uptime, scaling, and security patches for you; self-hosting puts that on your plate, or on ours if we run it for you. For most clients we manage it as an ongoing service so the burden is real but not yours to carry day to day. If you have no appetite for any infrastructure and your data is not sensitive, a hosted tool is the honest recommendation and we will say so. When data control, GDPR, or volume economics are on the line, self-hosting pays for itself and then keeps paying.

• Server cost plus maintenance, versus per-operation SaaS fees that scale with volume
• First deployment typically three to six weeks, depending on how many flows migrate
• Ongoing management as a service, or handed to your team with full documentation
• The trade-off: you own the uptime and patching, in exchange for control and cost savings