Get actionnable insights from your IIoT Data
Specializing in the analysis of industrial sensor data, DiagFit is the software that enables business experts to explore, analyze and extract useful information from equipment data. To find out more…
Failure detection in blind mode
Serving the most complex equipment
Blind mode fault detection is a machine learning method that allows for the automatized detection of equipment failures without relying on historical fault data or knowledge of the equipment or sensors being monitored.
Usability
Interpretable detections
By displaying health indicators by sensor or sub-model, in addition to the overall health indicator, decision-making becomes more rational.
For Domain Experts
An intuitive interface designed for domain experts and a wide range of visualization options for exploring and analyzing sensor data.
No Code Interface
An interface designed entirely no-code for use without development or data science skills.
Performance
High precision
A unique technological core, based on inventions developed in conjunction with academic research, for high value-added functionalities
Agnostic
Works with all types of equipment fitted with sensors producing data in the form of industrial time series.
Navigability
Smooth data loading and navigation thanks to an infrastructure optimized for time series
Clients
Using anonymized healthy data acquired over a year on the ship, DiagFit was used to create a unique model that automates the diagnostic and the failure detection and that supports customer service.
Partners
