Steinn.ai
Self-hosted AI coding infrastructure for engineering teams.
Steinn.ai is a self-hosted AI coding platform built by Steinn Labs, giving engineering teams CLI-based AI development tooling without sending code to third-party cloud models. Steinn.ai is live at steinn.ai.
Most AI coding tools require sending proprietary code to third-party APIs. For regulated firms, financial institutions, and any team with IP-sensitive codebases, that is a non-starter. The convenience of an AI pair programmer comes at the cost of control, residency, and auditability.
We built Steinn.ai around a single principle: build without restrictions. It is self-hosted, CLI-first, and model-flexible, so your code stays inside your infrastructure while your engineers still get the speed of AI-assisted development.
This is the same sovereignty philosophy that shaped Magpie. Where Magpie keeps governance data inside your perimeter, Steinn.ai keeps your source code and model interactions there. Both products are built on the belief that regulated and IP-sensitive teams should not have to trade control for capability.
The problem
Popular AI coding assistants send source code to cloud APIs, creating data residency, IP, and compliance risks.
Self-hosted by design
Steinn.ai runs inside your environment, behind your identity provider, under your own infrastructure policies.
CLI-first workflow
Engineers interact through a command-line interface that fits existing development habits rather than replacing them.
Same sovereignty DNA
The same data-residency and control principles behind Magpie also drive Steinn.ai's architecture.
Steinn.ai gives engineering teams an AI coding assistant that operates where their code already lives. It provides context-aware completions, reasoning, and workflow support through a CLI, without routing files or prompts to external model providers.
The full feature set, deployment options, and pricing live at steinn.ai. What follows is a summary of the capabilities that matter most to security-conscious and regulated teams.
- Self-hosted deployment inside your infrastructure
- CLI-based interface for daily engineering workflows
- Model flexibility and local model support
- Code-aware completions and reasoning assistance
- Audit logging that stays inside your environment
- Integration with existing identity and access policies
Steinn.ai is built and used internally by Steinn Labs' own engineering team. We eat our own cooking. The same CLI-first, self-hosted tooling that powers our client delivery is the product we offer to other teams. That internal usage is one reason our AI-powered product engineering engagements move fast: our engineers are working inside an environment they control and understand.
Steinn.ai also proves that Steinn Labs can design and operate sovereign, self-hosted AI infrastructure. For a skeptical buyer evaluating Magpie or a custom build, this is a real de-risking point: we are not selling a self-hosted story we have never built. We ship and run it ourselves.
If Steinn.ai covers your needs, it is the fastest path to self-hosted AI coding. If you need something beyond its scope, the same team can build a bespoke extension or a separate system with the same architecture and control.
Built by our own engineers
Steinn.ai is developed and maintained by the same team that delivers client AI builds.
Proves sovereign AI delivery
A live product demonstrating that Steinn Labs can design, ship, and operate self-hosted AI systems.
Path to custom work
If Steinn.ai is close but not complete, the Steinn Labs team can extend or replace it with bespoke tooling.
Magpie and Steinn.ai share one architecture philosophy: AI systems should run under your control, inside your perimeter, with evidence that they stay there. Together they form a coherent sovereign AI capability story that no single-product competitor can match.
Start building without restrictions.
Steinn.ai is live. If you need a self-hosted AI coding platform that keeps your code inside your perimeter, this is it.