Approach — Sovereign French AI Integrator

Why “agnostic”?

Because an industrial company deploying a critical system cannot afford to depend on a vendor, a cloud or a model it does not control. Because an AI model that costs ten times more in eighteen months is not a budget detail, it is a strategic risk. Because industrial data, drawings, bills of materials, after-sales feedback and processes are your heritage. That heritage must never become captive to a single supplier.

Agnosticism, at BCUB3, addresses this real constraint. It is not a style choice. It is an engineering and governance choice.

Everyone says “agnostic” in 2026. Few people still know what it means. On this site, the word has precise technical, contractual and economic content. If your provider cannot break it down on these three planes, they are selling something else.

The 4 principles of BCUB3 agnosticism

1. Sovereignty

You know at all times what runs on your data, who sees it, where it is stored, and who has access. We document the full flow: capture, processing, storage, inference, archiving. If a piece of data must stay inside your walls, it stays there. We deploy self-hosted open models whenever the case requires it.

2. Portability

Every technical brick is replaceable. Orchestration, language model, vector database, supervision layer, hosting: four independent layers, interfaced through stable contracts. When a better model comes out, you integrate it within a few days. No rewrite, no remigration, no renegotiation.

3. Transferability

Your teams leave autonomous. The source code is yours, commented, tested, versioned in your repository. The weights of models fine-tuned on your data belong to you. The prompts, evaluations, test sets and operational documentation are delivered alongside the technical deliverable. We train your operators so that they can not only use, but also debug, improve and decide.

4. Reversibility

At any time, you can stop the collaboration. No lock-in clauses, no imposed maintenance package, no usage rights that would expire. You can also switch integrators mid-project: the documentation is sufficient for a third-party team to take over without a break. We test this criterion before project closure.

How we choose the stack, case by case

We never start from a technology. We start from your use case, your constraints and your real data. Then we apply a six-criteria evaluation grid:

Quality on your real task — measured on your data, not on a public benchmark. We build a specific test set, then compare candidate models on it.
Three-year total cost of ownership — inference cost, hosting cost, supervision cost, human cost of maintenance. Not just the price per token.
Latency and throughput — does the use case tolerate a five-second response or require 200 milliseconds? This sometimes eliminates half of the options.
Sovereignty constraints — sovereign hosting obligation, sensitive data, trade secrets, sectoral compliance. Some cases rule out public APIs immediately.
Ecosystem maturity — supervision tools, stable libraries, active community, up-to-date documentation. A perfect model without an ecosystem is a trap.
Obsolescence risk — what is the reasonable lifespan of this choice? What signals would indicate that a change is needed? What is the migration strategy?

The result is a short document you keep. It justifies the choice, lists the alternatives reviewed, and describes when the decision will need re-examining.

What we refuse

We refuse three types of projects, whatever the budget size:

Captive-margin projects. A project where we would earn more by keeping you dependent than by making you autonomous is a dishonest project. We have no exclusivity clauses, no captive maintenance packages, no usage rights that would expire.
Disguised vendor lock-in. If a client explicitly asks us for a monolithic architecture on a proprietary platform, without technical justification, we explain why it is a mistake and propose an alternative. If the client insists, we decline.
Black boxes without skills transfer. An AI system your teams do not understand is a permanent operational risk. We refuse missions where the implicit counterpart is that only the integrator could maintain the tool.

Our contractual commitments

These commitments appear in every BCUB3 contract:

Code ownership. The source code of specific developments is your exclusive property, royalty-free, with no usage limit, no non-compete clause.
Fine-tuned model ownership. The weights of models trained or adapted on your data belong to you. We deliver the files, the training procedure and the evaluation dataset.
Living documentation. Technical, operational and governance documentation is delivered alongside the software. It is tested: someone outside the project must be able to use it to understand, restart, and debug.
No exclusivity. You can put your provider into competition at any time. You can work in parallel with other integrators. You can take the project in-house.
Clean exit clause. At the end of the mission or in case of early termination, we deliver a complete handover within four weeks, with no surcharge.

What agnosticism costs

Let’s be honest: an agnostic architecture costs slightly more to build than a monolithic project. A few percent of initial overhead, linked to layer separation, rigorous documentation and portability testing. That additional spend is recovered the moment you want to change a component, renegotiate a supplier, or take the project in-house. Over three years, the saving is systematically greater than the initial overhead.

Agnosticism is insurance. You pay it once, at build time. You recover it every time you take a decision back into your own hands.

Let’s discuss a concrete case — 45-min call