FAQ

The real questions.
Our real answers.

Reliability & method

An application produced by AIs, is it reliable?

That’s the right question, and it’s exactly why the Factory exists. An AI assistant alone produces plausible code; our chain runs it through systematic review, executed tests, criterion-by-criterion verification, and a final gate that launches your real application and certifies it works.

"Done!" means the machine proved it. Not that the code "looks good".

What’s the difference from a developer equipped with Claude or Copilot?

Your vendors have Claude or Codex too. They use them for individual productivity: a human drives each step, and inaccuracies pile up in silence.

We run a production line where every link is checked by the next. Quality doesn’t depend on who holds the keyboard.

And compared to a no-code tool?
A generic tool knows neither how you process an order, nor your vocabulary, nor your exceptions. We start with your process, not a technology, and we deliver a solution that fits it, with proof that it’s used.
And compared to a classic IT services firm?

Four differences. Speed: the solution in days, not months. Model: a result at a fixed price, not time and materials.

Coordination: in a classic project, pure development is only 40 to 60% of the billed effort. The rest goes to QA, project management, committees and meetings between multiple contacts: for one day of code, you pay nearly two. In the Factory, that work is wired into the chain: oversight, review and tests are links, not meetings. There are of course still humans at your side, a senior lead, progress check-ins. But on a project measured in days or weeks, the oversight cost melts away with the duration.

And maintenance: billed interventions, not a team on stand-by.

For one day of development, nearly two billed. In our line, coordination is a link, not a meeting.

Ownership & maintenance

Who owns what is delivered?

You do. Source code, application, documentation and project knowledge base, delivered to your repositories as the project goes, not at the end of the contract.

No black box, no platform whose keys we’d keep.

Who maintains the application afterward?

Your choice: your team (it’s standard code, with optional Factory access for evolutions), your usual IT partner (full handover guaranteed), or us. In that case, the Factory picks your project back up with its full context, even months later, and bills the intervention.

The memory of your project is never billed.

And if we want to leave?
You leave with everything: you already have it. It’s precisely because you can leave that you can trust us.

AI, hosting & costs

Do we need AI inside our application?
Not necessarily. AI is in our factory, not necessarily in your product. The Factory also builds 100% classic applications, no AI component, no dependency, no usage costs.
And if we add some: which engine, what cost?

The right engine for your use: Anthropic, OpenAI, Google, Mistral… And the right architecture: for a simple decision repeated hundreds of thousands of times, an open-source model in your environment brings the marginal cost per request to zero.

Infrastructure is sized, and we price it from design time.

Where are the application and our data hosted?
Wherever you want: your servers, your usual data center, or the cloud of your choice. The question is settled at the Blueprint: at design time, not as a patch.

Price & commitment

How much does it cost, and how long does it take?

We always start by quantifying the other column: what inaction costs you. Then everything is fixed: the scope, the price, and the staircase: the application in days, the proof in 90 days.

The pack ranges are shown on the Offer page.

"Payment on proof", concretely?

Your last payment doesn’t wait for delivery. It waits for proof. A portion of the price is billed only when your KPIs are reached, measured at 90 days.

The KPIs and their starting point are defined and signed together at kickoff; it’s the first thing we do.

We already ran an AI POC. It led nowhere.

You’re the rule, not the exception, and almost always for the same reasons: poorly framed, never connected to the systems, never adopted.

Those are precisely our three floors: understand, produce, integrate. With success defined before the first line of code.

Will our teams be replaced?
That’s not what we observe: the time saved is reinvested: in customers, in growth, in work that matters. And adoption is part of the mission: we bring your teams on board, we don’t bypass them.

Trust, security & durability

Where does our data go during the build?
Within a framework defined before we start: NDA, data scope settled at the Blueprint, data processing agreement, dedicated-environment options. Confidentiality is designed on day one, like the architecture.
How do your deliveries reach production?

Down the path your CIO already knows: code delivered as pull requests into your repositories, your branch protections applying, your CI/CD running, and a production go/no-go that stays human, at your premises.

The Factory is treated as an external contributor: it builds and verifies, it never pushes anything to production on its own authority. Our integration team runs deployments with your rules, your environments and your windows.

And if IA-PROS disappears?

You already have everything: code, documentation and knowledge base, delivered to your repositories as the project goes, not at the end of the contract. Escrow is possible if your legal department wishes.

Reversibility isn’t a clause with us: it’s our delivery model.

Who works on our project, and how many do you run at once?
A named senior lead, your single contact, with the integration team in France and nearshore (French and English speaking). And a deliberately limited number of simultaneous missions: the machine parallelizes, attention does not dilute.
How are the KPIs measured?
Defined and signed together at kickoff, with their starting point and their measurement method. At 90 days, we measure, we report, and the final payment follows the proof.

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