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Public transport: Increase payment compliancy

Reduce the number of fraudsters, whether they are active or passive.

Industry: Detect anomalies

Anticipate maintenance needs and detect anomalies. Visualization of safety requirements and performance.

Insurance: Fraud Prevention

Prevent fraud and identify fraudsters are greatly facilitated by the Machine Learning algorithms.

Health: Accelerating the development of new medicines

Make your R&D more efficient by correlating multiple data sources.

Finance: Determine the scoring of companies

Develop an algorithm that offers a finer risk analysis and provides a scoring tool for granting credit.

Energy: Prediction of consumption

Use Machine Learning to provide your customers with better visibility on energy expenditure.

Smart City: Trend analysis of city indicators

Aggregate the data available in the city (transport, security, energy...) make decisions on predictive data.

VISION

OUR VISION

Since 2016, data science is less a technical issue and more a subject that impacts corporate strategy. With the data we recover, we are able to predict risks, optimize production operations, financial operations, energy consumption, customer targeting or product pricing.

Mehdi CHOUITEN CEO & Founder

papAI, data flow processing and analytics platform

Platform

The papAI platform allows all types of users to quickly industrialize their data project to a specific use case. papAI provides end-to-end management of your data science projects, from data collection to the deployment of predictive models.

It provides developers with the most common families of deep learning machine learning algorithms to quickly put the company's data projects into production.

Time series
Transparency
Ease of use

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Data Collection

Data Cleaning

Data visualization

AI & Deployment

Datategy team

Management

Datategy brings together world-class experts in Artificial Intelligence. Our team shares the vision of Data Science at the service of business to help them in their decisions.

The company has around 35 employees, most of whom are either PhD graduates or engineers from prestigious universities.