The SNCF uses our diagnostic tool to identify defective equipment on rolling stock and thus better manage maintenance interventions.
Fight insurance fraud with dedicated learning algorithms.
Make your R&D more efficient by correlating multiple data sources.
Anticipate maintenance needs and detect anomalies.
Aggregate the data available in the city (transport, security, energy...) and make decisions on predictive data.
Use Machine Learning to provide your customers with better visibility on energy consumption.
Develop an algorithm that offers a finer risk analysis and provides a scoring tool for granting credit.
Reduce the number of fraudsters, whether they are active (no ticket) or passive (forgot to validate).