Public transport: Increase payment compliancy
Reduce the number of fraudsters, whether they are active or passive.
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Industry: Detect anomalies
Anticipate maintenance needs and detect anomalies. Visualization of safety requirements and performance.
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Insurance: Fraud Prevention
Prevent fraud and identify fraudsters are greatly facilitated by the Machine Learning algorithms.
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Health: Accelerating the development of new medicines
Make your R&D more efficient by correlating multiple data sources.
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Finance: Determine the scoring of companies
Develop an algorithm that offers a finer risk analysis and provides a scoring tool for granting credit.
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Energy: Prediction of consumption
Use Machine Learning to provide your customers with better visibility on energy expenditure.
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Smart City: Trend analysis of city indicators
Aggregate the data available in the city (transport, security, energy...) make decisions on predictive data.
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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.
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.
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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.
Meet the team
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Improving the compliance rate in public transport: has everything been tried?
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Smart & Open Cities: The importance of global cooperation
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When Algorithms Decide, Whose Responsibility Is It?
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