The factory
Your production applications change every day. Every change now arrives with its evidence.
Argy replaces external engineering on your production applications: an autonomous, governed engineering factory that your engineers run without outside reinforcement, and that delivers every change with its evidence bundle.
Let's start with what you already pay for.
Your software exists, it runs, and it needs constant upkeep: security fixes, version upgrades, infrastructure compliance. Today you buy that work from outside, by the day, with little visibility into what was done or how it was checked. The factory changes the equation: the machine produces the work, your engineers keep control of every decision, and you receive a delivery record an auditor can open.
Which raises the obvious question: what does the factory actually deliver?
What the factory delivers: changes ready to merge, not suggestions
The factory never starts from a blank page. It starts from your production code, your conventions, your already-approved delivery paths, and it produces complete changes: the fix, the tests that justify it, the documentation that goes with it. Your teams do not receive an idea to rework, they receive a merge request they can review, accept or send back.
The entry point is where your budget already exists: DevSecOps automation. That is where external engineering costs the most for the least perceived value, and where the difference shows first.
And security is exactly where the factory has proven itself.
First workstream: continuous security remediation
SAST and DAST alerts, pentest findings, CVEs piling up in dependencies, infrastructure-as-code compliance gaps: tickets that sleep in a backlog because nobody has the time. The factory absorbs them, proposes the fix, tests it and submits it for your engineers' approval. Backlog and debt shrink instead of piling up, with no outside reinforcement.
Dependencies are checked before entering your chain, untrusted data stays isolated, and nothing leaves your perimeter without authorization. This is the perimeter where the factory's most autonomous behavior is demonstrated.
Producing fast is pointless if you lose control. The opposite happens.
Governance: your rules apply before, not after
Every change goes through the policies you define: who can approve what, on which environment, with which mandatory checks. Roles and approvals rely on your corporate directory, human decision points sit exactly where you want them, and the factory never crosses a threshold you have not opened.
In other words, you no longer govern a contractor by reviewing invoices. You govern a production chain through explicit, versioned, enforceable rules.
Rules that are applied are good. Rules that are proven are what your auditor will ask for.
The evidence bundle: the delivery record nobody used to give you
For every change, the factory assembles a delivery record: what was requested, what was modified, which controls ran and with what result, who approved and when. This record is not rebuilt after the fact from six tools: it is produced as the work happens, by design.
Facing the AI Act, DORA, NIS2 or an ISO 42001 program, your CISO no longer starts from manual collection. They start from an evidence bundle already attached to each delivery.
Evidence for every change is also a continuous measure of your production.
Observability: see what the factory delivers, and how fast
Every run is traceable end to end. Your production leaders track the delivery indicators they already know, deployment frequency, lead time, change failure rate and time to restore, on work actually delivered, not on activity reports.
And what gets measured ends up being managed, financially too.
Economic control: think per unit of work, not per man-day
Because every delivery is traced, so is its cost. You move from day-rate billing that is hard to challenge to a cost-per-unit-of-work calculation method your procurement team can compare line by line. Consumption is tracked by team and project, with caps you set.
Which leaves the question you have been asking from the start: what is under the hood?
The mechanism: AI agents working under your rules
Yes, the factory relies on AI agents. But they do not have the final word: they operate inside a governed framework, choose among the models you authorize, draw on your company's documentary knowledge, and every action is logged. Your existing coding assistants stay in place: the factory is the layer that makes them work under your rules and produces the evidence.
European hosting and sovereign deployment are available for contexts that require them.
One last point, and not the least: how far does autonomy go?
A contracted autonomy tier, never a vague promise
The delivered baseline is L3: the factory produces, your engineers approve. L4 behavior is demonstrated on the security perimeter, where the factory chains fixes within the limits you set. L5 remains a conceptual stage, not claimed. The tier chosen for your perimeter is written down, and it only changes with your agreement.
And if you ever decide to leave, your factory repository belongs to you and can be exported. We would rather be kept for what we deliver.
You have seen what the factory produces. Let's see what it would produce for you.
Pick a perimeter, we will show you the evidence bundle
An application portfolio, a vulnerability backlog, a maintenance contract coming up for renewal: start there. With your production leadership, we scope a first perimeter, the autonomy tier that suits it and the shape of the delivery record you expect.