Service 11 · Useful AI, properly scoped
AI consulting in Strasbourg: useful AI, properly scoped, hosted in France.
We do not sell AI transformation. We look with you for the precise place where an assistant or an automation saves time, try it on your real data, then integrate it into your applications, with guardrails.
First conversation free.
Where AI saves time, and where it does not
AI makes sense when you have volume. Without volume, it costs more than it brings in, and we will tell you so in the first conversation.
- 01
Large volumes of documents. Contracts, procedures, knowledge base: an assistant finds the right information in a few seconds, with the original document to back it up.
- 02
Repetitive tasks. Data entry, sorting, classification, standardised writing: we automate what weighs on your teams without adding value.
- 03
A need to stay in control. You want AI without losing control of your data: answers that cite their sources, a log of actions, hosting in France.
Who it is not for
An AI project to tick a box, or a task with no volume. Never AI for the sake of fashion: if it brings nothing, we tell you, and we do not bill for a prototype that has no reason to exist.
What we integrate, and what keeps it within bounds
Assistants that answer from your documents, quoting the original passage. Automations: extracting data from your invoices and contracts, classification, drafting. And the connection to your tools, CRM, ERP or document base, through a connector with a controlled scope. All of it integrated into the applications your teams already use, not in a separate window.
How we go about it
- 01
Identify the use case. The precise place where AI saves time or reduces errors, and the estimated gain before a single line is written.
- 02
Prototype on your real data. A restricted assistant, tested by your teams, to confirm the value before investing further.
- 03
Integrate properly. Into your application, with the guardrails listed alongside.
- 04
Operate in France and measure. Release to production on our servers, monitoring, and the real gain compared with the estimate.
Where your processing runs, and what we have already built
An assistant that reads your documents is data processing like any other: it lives on the same infrastructure, measured in the same way.
- OVHcloud data centres housing our hypervisors
- 3 in FranceOVHcloud public API (dedicated server records)
- Machines whose logs are sent to the SIEM in real time
- 40Wazuh SIEM (internal administration console)
- Active monitoring probes across our machines
- 58Internal Uptime Kuma monitoring
- Average availability of the websites we host
- 99.89%Internal Uptime Kuma monitoring (HTTP probes, one measurement per minute)
Measurements taken on 5 September 2026, values recorded by our own instruments.
Before starting an AI project
What is the difference between this page, model integration and the agent?
Consulting answers “where do we start”. Integration connects a language model to a tool you already have. The agent carries out a task from start to finish, subject to approval. The three pages follow on from each other; start here if the use case has not been settled yet.
How much does it cost?
The prototype is priced during scoping; integration is billed by the day; the model's usage costs are tracked and capped. Price ranges are published on the pricing page.
How do I know whether it works?
The gain is estimated before, then measured after, on your data and with your teams. If the prototype is not convincing, we stop there, and the prototype's budget was known in advance.
Timelines, quotes, code ownership, end of contract: the answers are in the FAQ.
Quoted per project. Price ranges are published on the pricing page, along with what makes a budget vary.
Let us test the idea
An AI idea to test seriously?
Describe the task you would like to lighten. We will tell you whether AI has a place in it, and what a prototype would cost.
Reply within 24 working hours, from one of the two founders.