The benefits of a Machine Learning solution.



Machine learning solutions are able to efficiently analyze large amounts of data to help you develop automation strategies.

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The machine learning algorithms indicate the probability associated with the predicted events. The resulting strategic decision is then made on the basis of numerical indicators.

Entretien Simulation


Being able to reliably predict trends or behaviors of its customers, allows companies to gain considerably in competitiveness.

Cost Management


A machine learning solution is fed with data, enriched over time. This allows it to refine its predictions and constantly improve performance.

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An innovative approach

The rise of artificial intelligence opens the way to new perspectives for companies. From now on, artificial intelligence will find its place in their information systems. It becomes possible to use their data to predict the probability of a future event.

Machine Learning allows to highlight certain correlations in order to automate operational decisions.

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Anticipate your customers' needs with Machine Learning

Price prediction

Prediction algorithms can estimate the value of a product or service based on previous observations.

Software Quality

Product recommendation

Recommendation algorithms use a user's purchase history and data to recommend products or services that may be of interest to them.


Fraud detection

The algorithms can detect fraudulent and abnormal behavior. For example, an abnormal expense made by credit card abroad.



Conversational agents are based on NLP (Natural Language Processing) to detect the intentions and context of a spoken or written request.

Six steps of an automate an AI system

Each step brings benefits in terms of efficiency and quality of processes. It is a scale of levels that allows you to position your company and eventually take decisions to improve your current position:

1. Automated data feedback

the system provides reporting directly from the database

2. Suggestions

Creation of suggestions in the form of scenarios based on the information collected

3. Contextual assistance

The system produces specific alerts and provides recommendations based on the context

4. Task delegation

A global task is entrusted to the system, which will then take into account the useful information to achieve it

5. Responsibility

The system performs a number of tasks and autonomously

6. Full automation

The system has both automation and machine learning to perform end-to-end autonomous actions

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A team dedicated to your project

Our trained and certified Data Scientists have a dual profile: both technical (computer science, statistics, mathematics) and business, they will be able to analyze your needs to implement solutions tailored to your context.

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