Industrie 4.0: Detection of anomalies on defective rolling stock

The SNCF uses our diagnostic tool to identify defective equipment on rolling stock and thus better manage maintenance interventions.

Read More

Insurance: Fraud Prevention

Fight insurance fraud with dedicated learning algorithms.

Read More

Health: Accelerating the development of new medicines

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

Read More

Industry: Detect anomalies

Anticipate maintenance needs and detect anomalies.

Read More

Smart City: Trend analysis of city indicators

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

Read More

Energy: Prediction of consumption

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

Read More

Finance: Scoring

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

Read More

Public transport: Increase the payment rate

Reduce the number of fraudsters, whether they are active (no ticket) or passive (forgot to validate).

Read More