Real time analysis and viewing of sensor data generated in continuous flow
1. Increase reliability
Increase raw data reliability that is sometimes incomplete or noisy. Our real time algorithms make the analytical processing more accessible.
Select, recognise and prioritize information. We transform a continuous flow into relevant messages for operational teams.
Automatically detect failures. Our event-qualifying patented algorithms orientate and support the maintenance team.
the quality, use, ROI of your sensor data
the description of the operating of your systems
Mobilise operational staff only in case of critical events
Foresee a preventive and dynamic management of failures
How does it work?
A SCALABLE SAAS big data platform
enables to collect, store, view, manipulate your data
we co-develop on-demand warning models or instantaneous diagnoses
integrates your applications and enables you to add or create new ones
we operate them in real time without volume constraints regarding your data flows
ALGORITHMS AT THE CUTTING EDGE OF RESEARCH ON TIME SERIES
Our team of statisticians, engineers, data scientists (from French schools X, doctors ECP-Supelec, Telecom Bretagne…) have patented an algorithm capable of interpreting data from a variety of sensors and systems, disaggregating scalar measure series, qualifying operating episodes, automatically learning the characteristics of the system measured, detecting unlikely events. We adapt these algorithms to your systems and to your information and prediction needs.