FundersState + PACA Region, PIA,
Software platform in SaaS mode for detection and prediction of anomalies
The project aims to study the technical and economic feasibility of a software platform in SaaS mode for detecting and predicting anomalies in the operation of machines and processes.
On the basis of data collection and machine learning, the solution aims to enable industrialists from different sectors, and in particular those from the manufacturing, energy and hydraulics sectors, to detect and predict anomalies in their operation and power. trigger maintenance actions and preventive correction.
This project will implement key technological developments in the areas of unsupervised Machine Learning, unstructured data processing, desynchronized time series.
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