Service 12 · Useful AI, properly scoped
Integrating a large language model (LLM) into your applications, with answers that cite their sources.
Do you already have a CRM, an ERP or an internal tool up and running? We connect a large language model (LLM) to it, where your teams work, with your data and your rules. Not a generic assistant open in another window that nobody uses.
First conversation free.
A language model inside your tool, not a generic assistant beside it
Many SMEs “do AI” by handing out subscriptions to a consumer assistant. Three people use it, it cannot reach the business data, and nobody measures what it brings in. Integration is the opposite: a “draft the quote” button in your CRM, an automatic summary in your management area, data extracted the moment an invoice is uploaded.
- 01
In the CRM. First drafts of quotes and proposals, summary of a client's history, suggested follow-ups.
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In the ERP or the management area. Extraction from invoices and contracts, consistency checks, reports, records filled in automatically.
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In internal tools. Writing help, translation, rewording, summaries of long documents, wherever your teams write.
Who it is not for
A task where a mistake cannot be caught without a review: the model suggests, a person approves. And a tool too old to provide an interface: sometimes a small module alongside is healthier than touching the core, and we will tell you so.
A direct call, or a reusable connector
For a well-defined use case (writing, classifying, extracting), the model is called directly from your application: quick to put into production. As soon as the model needs to reach several systems (CRM, ERP, document base), we write a connector using an open protocol (MCP): your systems are exposed once, with a controlled scope, and any compatible assistant can use them without the integration being recoded. We choose according to your needs, not according to fashion.
Models
Claude, GPT or Mistral. The choice depends on how sensitive the data is and on the quality expected; we are not affiliated with any vendor.
What you receive
- A prototype on your real data, with a budget known in advance
- Integration into your application, whether .NET, Next.js or something else
- Answers that cite their sources when the model reads your documents
- Human approval on anything that commits you
- Tracking of call costs, with an alert at the threshold
- The code and the architecture, yours, designed so the model can be changed
The model sets the parameters, the algorithm does the composing
A language model connected to an application is processing like any other: it runs on our 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)
Measurements taken on 5 September 2026, values recorded by our own instruments.
Before connecting a model
Do I have to rebuild my application?
No, in the vast majority of cases. We add a service, a screen or a button to the existing application, and we prove it first with a prototype on a narrow scope.
Which model do you recommend?
It depends on the use case. We are not affiliated with any vendor, and the architecture is designed so the model can be changed without rewriting everything.
How long does an integration take?
The prototype comes first, the schedule for release to production is written into the quote, and you see the progress at every demonstration.
How much does it cost?
By the day for the integration, plus the model's usage costs, tracked and capped. Price ranges are published on the pricing page.
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.
A use case
A task to lighten in a tool you already have?
Describe the tool and the task. We will tell you whether a language model has a place in it, and what a prototype would cost.
Reply within 24 working hours, from one of the two founders.