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    For security and compliance

    Say yes to AI coding org-wide, with the audit evidence to prove it was governed.

    StackRails gives AI coding agents permission-gated access to your Architecture Graph, never trains a model on your code, and produces an exportable record of what was generated, checked, and merged. So your security team can approve AI coding across every team and show how it was governed.

    Built for your security review.

    Never trains on your code

    Your code and architecture are never used to train a model, ours or anyone else's.

    Permission-gated, two-tier

    Every query is resolved against the user's source-control permissions. Tier A architectural metadata (services, dependencies, ownership) and Tier B code-internal content are gated separately. Identity is bound through SCIM.

    Your tenancy

    Hosted in the EU, in your VPC, on-prem, or air-gapped. The only egress is the MCP response to the AI coding agent your developer already uses.

    An exportable record

    Every generation, conformance check, and merge decision is recorded and exportable, so you can show how AI-generated code was governed across every team.

    Enterprise adoption

    Safe AI coding at scale

    Roll out AI coding tools across your entire organisation without the risk. Gated by your permissions, and it never trains a model on your code. The guardrails that make enterprise-wide AI Coding Governance possible. Your security team signs off. Your developers get productive.

    Gated by your permissions
    Policy enforcement
    Your own cloud, Hosted EU, or on-prem
    Watch how enterprise teams adopt AI safely
    Code checks

    Your rules, before and after your AI agents write

    Your AI coding agents get your rules before they write. Then StackRails checks the code against the same rules and reports what breaks one, on the pull request too.

    01

    Before the agent writes

    Context and policy go into the agent's prompt, so the first pass is steered toward compliant code.

    02

    On the developer's machine

    Your AI coding agent's output is checked on the developer's machine, before code is committed or pushed.

    03

    At the pull request

    Check results are reported on the pull request as a conformance report, with an audit record for the architect's review.

    Deployment & trust

    In your environment. Gated by your permissions. Fast to deploy.

    StackRails deploys in your own cloud (AWS, Azure, or GCP), hosted in our EU region under your KMS, or fully on-prem. In your own cloud or on-prem, your source never crosses a tenancy boundary. On the hosted EU option, only the architecture model (metadata, under your KMS) is managed by StackRails, never your source.

    Your cloud

    Run StackRails in your own cloud: AWS, Azure, or GCP. Your access role, your VPC, your KMS. Your source stays in your environment; the only egress is the MCP response to the AI assistant you already use.

    Hosted EU

    StackRails-managed in eu-north-1 (Stockholm) under your KMS. Enterprise posture without the infrastructure overhead.

    On-prem / air-gapped

    Self-host the full stack. No external dependencies beyond the embedding model. Air-gapped capable, suited to sovereign-cloud deployments.

    Never trains a modelGated by your permissions
    GDPR / EU data residency (eu-north-1)

    StackRails is not itself a certification. It produces the evidence your auditors and assessors ask to see.

    StackRails mascotFree. Yours either way.

    See it on a real codebase. Thirty minutes.

    Live walkthrough of StackRails, the three checks, and the two-tier authorization model on a real codebase. Founder-led for first customers. Response inside one business day.