The independent proof layer for AI agent work.

Agent platforms have made real progress on securing how agents run: isolated environments, permissioned tools, managed runtimes. That layer exists, and it is not the gap.

Whether a specific piece of agent work may reach production is a judgment about one change in one system. Someone has to check it, record the check, and take responsibility for the release.

A proof layer inside the platform that produced the work grades its own homework. Credible proof has to be independent of the model, the vendor and the runtime that did the work.

The system, mapped before the boundary is drawn

Before the zone is drawn, we map what exists. We turn the codebase into an interactive knowledge graph: every layer, file, function and dependency, plus a guided tour a new engineer or an auditor can follow. The mapping runs inside your perimeter, and the model endpoint is pinned to yours: your cloud, or a sovereign gateway. We audited the pipeline ourselves: no telemetry, nothing persisted outside the project. Openly built on open source, operated under our governance.

What the agent may touch, written down first

Before an agent touches anything, we draw the boundary: the files, routes and services in scope, and what stays off limits by default. The zone lives in the repository itself, so every model and every session reads the same boundary before it works. Agent work aligns with your governance because the boundary is written down where the work happens, not in a policy document nobody loads.

Every change clears the same fixed checks

Before anything reaches production, the change runs through a fixed sequence of 7 checks. Each one catches a specific failure that AI-written work ships often, and a single blocking check turns the whole run into a NO-GO. The checks are identical on every run, which is what makes the outcome reliable rather than lucky. Each gate has a public explainer:

Every decision leaves a record you can read

Every run ends on a record of what was checked and what the checks found: each check with a pass, a warning or a fail, then one overall verdict. Every line is a measurable outcome, an observed measurement at run time, never a feeling. A recorded run can be shared as a read-only report page, so the proof travels to an auditor or a board without granting access to anything else. The record never claims more than the checks actually saw.

The machine measures. A human releases.

The gate produces a verdict. It does not press the button. A NO-GO stops the ship until the blocking issue is clear, a GO with warnings hands a person the warnings to eyeball first, and even a clean GO ends with a person walking the live result before the work is called done. Each piece of work ends on a plain go or no-go, in writing.

Not a hosting platform

We do not run your agents and we do not sell compute. No sandboxes, no VPC deployment, no managed runtime. If you need a place for agents to execute, that is an agent platform, and you should buy it from a vendor who does exactly that.

Not a certified cloud provider

We are not a SOC 2 certified cloud service, because the gate is not a cloud service. It is open source and runs locally, inside your own infrastructure and your own pipeline. Nothing leaves your machine unless you opt in to reporting.

The honest split

If you are deciding where agent work should run, you need a different vendor. If you need proof that agent work was checked, and a sign-off before it goes live, that is exactly what we do.