Intelligence artificielle

Artificial Intelligence

Why invest in artificial intelligence?

AI is now at the heart of organizational transformation. From retail to healthcare, and from finance to logistics and marketing, it has become an essential lever for increasing efficiency, personalizing experiences, and accelerating decision-making. When used wisely, AI doesn’t replace humans : it frees them from repetitive tasks and enhances their ability to make better decisions. Generative AI can increase employee productivity by 5% to over 25%, depending on the type of tasks (OECD 2025).


And contrary to popular belief, AI isn’t just for large corporations :

it’s also accessible to SMEs that want to stay competitive.

Our approach:
practical and results-oriented AI

Every organization has its own data and unique reality. Our role is to turn your data into useful, pragmatic AI solutions that align with your business objectives.

Our approach is built on four pillars:

Automation

AI handles repetitive tasks and boosts your teams’ productivity.

Customization

Our models are tailor-made, designed to fit your data and business goals.

Progression

We break projects down into concrete, valuable deliverables at every stage. Instead of long, drawn-out projects, we continuously generate value for your teams.

Accessibility

Our solutions are designed to deliver a real return on investment and remain affordable for both SMEs and large organizations.

Our AI and Machine Learning Services

We transform your data into practical AI applications designed to solve your business challenges and generate measurable impact.

AI Strategy and Roadmap

Define a clear vision and plan the implementation steps to integrate AI progressively and in alignment with your business objectives.

Autonomous AI Agents
(Agentic AI)

Coordinate and execute multiple tasks autonomously, generating reports without continuous human intervention.

Chatbots

Enhance customer service and user experience with instant, contextualized, and 24/7 available responses.

Recommendation Engines

Deliver the right products and/or content to the right customer, at the right time.

Predictive and Forecasting Models

Anticipate demand, traffic, or future performance to improve resource planning.

Automated Reporting and Analytics

Generate reliable insights enriched with automated statistical interpretations. 

Applications Based on LLMs (Large Language Models)

Accelerate content creation, quickly retrieve information within documents, or automate the production of analyses.

Text Analysis and Information Extraction (Natural Language Processing)

Leverage textual databases, surveys, comments, or internal documents.

Machine learning

Design and train advanced models tailored to your business reality.

Why our AI projects succeed?

✔ Pragmatic projects    ✔ Rapid value    ✔ Scalable AI

2x

More chances of success in AI

when your project is supported by a specialized partner

According to MIT NANDA (2025), projects carried out with partners achieve a success rate twice as high as initiatives developed solely in-house.

At Numea, our pragmatic, progressive, and results-oriented approach ensures that your projects avoid common pitfalls. They deliver tangible value quickly, step by step.

We select flexible solutions that can evolve with your needs and integrate seamlessly into your existing processes.
Our goal is to ensure your AI projects remain effective and relevant over time.

Case studies

Our artificial intelligence projects demonstrate that it’s possible to quickly transform complex data into tangible performance drivers and extract measurable impact.

A few examples:

Guiding candidates with AI

Challenge

The results of a psychometric test provided career suggestions in the form of a static report, which respondents found difficult to use.

Solution

Development of an intelligent chatbot connected to the test results, allowing candidates to discuss their profile, get more details about suggested careers, and ask their own questions.

Results

  • Enhanced experience: interactive, personalized guidance instead of a static report.
  • Increased relevance: better matches between skills and careers through dialogue.
  • Greater engagement: higher respondent satisfaction and involvement.

Boosting sales with an AI-powered recommendation engine

Challenge

Marketing communications remained too generic, failing to leverage customer data to deliver truly relevant offers.

Solution

Development of an AI recommendation engine combining two complementary approaches:

  • Personalized recommendations based on each customer’s purchase history
  • Market basket modeling to suggest the most relevant products or services to new customers or those with limited history

Results

  • Increased personalization: every customer receives recommendations tailored to their profile.
  • Broader coverage: relevance maintained even for customers without prior purchase history.
  • Higher revenue: sales growth driven by more targeted and engaging offers.

Saving time with AI-powered report automation

Challenge

Research report production required extensive manual work: data collection, result formatting, and summary writing. Each report could take several weeks, slowing down the dissemination of findings.

Solution

Implementation of an AI-assisted automation process to:

  • Quickly integrate and structure large volumes of data;
  • Automatically generate tables, charts, and key indicators;
  • Produce prewritten summaries and text sections to accelerate final drafting.

Results :

  • Reduced time: production timelines cut in half
  • Improved quality: more consistent reports with fewer manual errors
  • Increased value: researchers freed from repetitive tasks to focus on analysis and interpretation

Your questions, our answers

Yes, AI is absolutely accessible to SMEs. By starting with small, targeted projects and using your existing data, it’s possible to implement practical solutions that fit your budget and business priorities.

The cost of an AI project varies depending on your needs, but it doesn’t have to be excessive. We tailor each project to your reality and build it progressively. Every step delivers concrete results, allowing you to clearly measure ROI and adjust the project along the way.

Contrary to what you might think, an AI project doesn’t take years. By working in phases, you can see initial results within a few weeks. Each deliverable generates value throughout the process—no need to wait for the end of the full project.

You don’t need a massive amount of data to get started. We begin with what you already have (sales, customer data, inventory, surveys…) and build from there. What matters most is having reliable, well-structured data, and we help you prepare it if needed.

What if AI finally became real for your organization?