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Technologies

The models and tools we train on and build with

We sell no licenses and are not a reseller for any vendor. The choice of tool depends on the use case, the required level of confidentiality and the budget. Here are the ones we use in our engagements and training.

Conversational assistantsCoding agentsOpen-weight models

Our foundation

Six technologies, six distinct uses

Each tool has an area where it outperforms the others. We train your teams to know which one to open.

Logo Claude
ClaudeAnthropic
AssistantProprietary

Our go-to tool for long documents and professional writing in French. Large context window, controllable tone, reliable adherence to formatting instructions.

At our clientsAnalyzing reports and tenders, producing summary notes, drafting consulting deliverables.
Logo ChatGPT
ChatGPTOpenAI
AssistantProprietary

The most widely used tool across teams, so training often starts here. A strong all-rounder with an ecosystem of extensions and internal GPTs.

At our clientsFirst business use cases, internal GPTs documented on procedures, marketing content generation.
Logo Gemini
GeminiGoogle
AssistantProprietary

Built into Google Workspace, which matters for organizations whose documents and email already live there. Strong image and video processing.

At our clientsMultimodal content processing, leveraging Drive archives, automations in Sheets and Docs.
Logo Claude Code
Claude CodeAnthropic
Coding agentProprietary

An agent that works inside a code repository and carries out tasks end to end: reading existing code, modifying it, testing. It is what we use to build most of our automations.

At our clientsDeveloping the agents delivered in engagements, ERP integration scripts, monitoring dashboards.
Logo Codex
CodexOpenAI
Coding agentProprietary

A second development agent, used in parallel on long projects and to compare two approaches to the same problem before deciding.

At our clientsCross code review, script migrations, background development tasks.
Logo GLM (open weights)
GLM (open weights)Z.ai / Zhipu AI
Open modelOpen weights

A model with published weights, so it can be installed on your own servers. The right choice when data cannot leave the company or when per-request cost must be kept under control at high volumes.

At our clientsOn-premises processing of confidential documents, high-volume internal agents, environments without internet access.

The names and logos mentioned belong to their respective vendors. Their presence indicates use in our engagements, not a commercial partnership or certification.

Method

How we choose the tool

Data confidentialityNature of the documents processed, regulatory obligations, acceptable hosting location.
Nature of the taskWriting, document analysis, code, image processing: the differences between models are real and measurable.
System integrationWhat the tool can read and write in your ERP, email and existing files.
Usage costMonthly request volume, per-user licenses, and the point at which self-hosting becomes more cost-effective.

Data sovereignty

When the model must stay in-house

For regulated matters — banking data, health data, contracts — we deploy an open-weight model on your infrastructure or with a hosting provider you control. No data leaves the perimeter.

The trade-off is made explicit from the scoping stage: reasoning quality below the latest proprietary models, in exchange for full control over how documents flow.

HostingYour servers, a sovereign cloud or a Tunisian hosting provider of your choice.
ModelsOpen-weight model families, including GLM, selected based on the memory available on your machines.
What we deliverInstallation, business test suite, operations documentation and knowledge transfer to your technical team.

Which tool for your use case

A one-hour assessment is enough to decide between an off-the-shelf assistant, an agent connected to your systems and a model hosted on your premises.