What is self-hosted AI?
Self-hosted AI means running AI agents and automation on infrastructure you control, your own servers or cloud account, rather than only a vendor's platform. It gives you ownership of your data and workflows, control over where processing happens, and freedom from lock-in to a single provider.
Self-hosted AI is about ownership. As AI moves into core operations, businesses increasingly want their data and logic on infrastructure they control, not locked inside one vendor's platform.
What self-hosting gives you
- Data ownership, sensitive information stays on infrastructure you control.
- Compliance fit, easier to meet security and data-residency requirements.
- No lock-in, your agents and workflows are portable, so switching costs stay low.
Self-hosting the agent layer pairs naturally with provider-agnostic model choice: own your data and logic, and still pick the best model per task.
Self-hosted AI with Oido
Oido runs AI employees and n8n workflows on infrastructure you can own, with portable workflow JSON, no lock-in by design. Prefer not to manage it? Oido's team can host and run it on your infrastructure or theirs.
Frequently asked
Data control, compliance, and independence. Self-hosting keeps sensitive data on infrastructure you own, helps meet security or residency requirements, and means a vendor's pricing or shutdown does not strand your operation.
Not necessarily. You can self-host the agent and workflow layer, where your data and logic live, while still calling hosted model providers over an API. The model and your infrastructure are separate choices.
It adds some operational responsibility, but portable formats and managed options reduce it. Done-for-you providers can host and run it on your infrastructure or theirs, so you get ownership without the ops burden.