Fewer repetitive tasks
AI executes your recurring processes (sorting, extraction, classification, generation) to free up time for your teams.

We integrate AI components directly into your existing tools: data analysis, automations, assistants, recommendations. No need to rebuild everything — AI plugs into what already works.
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Do you want to automate part of your business, enhance your application or offer a smarter user experience?
We integrate AI components into your existing tools or new software: data analysis, automations, assistants, recommendations. The goal is simple: fewer manual tasks and faster decisions.
In practice, we start by identifying with you the use cases where AI brings a measurable gain, then integrate the solution into your existing tools.
AI executes your recurring processes (sorting, extraction, classification, generation) to free up time for your teams.

AI reads, classifies and extracts data from your PDFs, forms, images or emails automatically.

Transform your data into useful information: behavior prediction, segmentation, anomaly detection.

Recommendations, dynamic content, scoring: AI adapts your interface and interactions to each user.

Add to your site or app an AI chatbot capable of helping, guiding or automating support.

Situations we come across often, and the tool we can make of them.




Encrypted data, GDPR policy, data isolation.
Optimized models, fast responses, reliable and scalable API.
API, database, workflows: AI integrates into your existing ecosystem.
We start with short cycles to quickly adjust based on your feedback and priorities.
Shared milestones and deliverables, with a regular read on what the model already does and what it doesn't.
We discard gimmicky uses and focus on what truly creates value.
Concrete custom development achievements

Identify levers to strengthen farm autonomy

An extranet to centralize all information and documentary resources

Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects

Identify levers to strengthen farm autonomy

An extranet to centralize all information and documentary resources

Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects

Identify levers to strengthen farm autonomy

An extranet to centralize all information and documentary resources

Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects
We spend time with your teams to understand how they work day to day, where they lose time and which decisions need to be faster. We map those points in a project scoping phase that feeds the spec. The goal: isolate 2 or 3 high-ROI use cases instead of sprinkling AI everywhere with no measurable effect.
AI plugs into your existing tools via API: CRM, ERP, business software, document base. Your teams stay in their usual environment, with new capabilities on top. For the models, we rely on OpenAI, Anthropic or Mistral depending on constraints (sovereignty, cost, latency) and we document the technical choices during the software architecture phase.
We define measurable metrics before development: classification accuracy, time saved per task, residual error rate. Models and prompts are refined over time based on user feedback and cases where the AI got it wrong. A human-in-the-loop step is built in by default for high-stakes flows, to validate before publishing or triggering an automated decision.
The budget depends on the number of use cases, business connectors and how far the model is customised. Upfront scoping lets us prioritise use cases with the MoSCoW method and price each brick separately, rather than committing to one global budget that drifts mid-project. The free first scoping gives you a first range for your case, with no commitment.
For a first use case in production with real users, expect 6 to 10 weeks. A complete AI platform with several models, business connectors and a continuous learning loop takes 4 to 6 months. We ship a first usable iteration quickly to confront the model with real data, rather than polishing six months in a lab before the first go-live.
No-code tools cover simple automations (trigger, action, prompt) without touching the code. They hit a ceiling as soon as you need to connect a business software, keep data inside your IS, tune a prompt against specific rules or control the cost per call at scale. A custom integration costs more upfront but stays under your control, fits your business, and the cloud bill doesn't take off with volume.
We start with an in-depth listening phase to understand your business challenges, technical constraints and objectives. This step includes creating personas and realistic navigation scenarios to precisely define the project scope.
We develop a first functional version of your application to quickly test your idea. This prototype allows you to present it to your users, gather their feedback and adjust the product before investing in full development.
We develop your solution following agile principles with short sprints and regular demonstrations. Each feature is rigorously tested before integration. Code is peer-reviewed and documented to ensure quality and maintainability.
Once your application is live, we ensure its hosting on secure and high-performance infrastructure. We remain available for corrective maintenance, functional improvements and continuous optimization of your solution.
Describe it in a few lines: you get a first reading of the need, the points to decide and a budget range.