Arundo Analytics

About Arundo Analytics:

As digitalization and optimization partner, Arundo Analytics helps capital-intensive operations to increase efficiency, reliability, and sustainability.

By identifying crucial data patterns we support equipment operators to make better decisions and optimize their operations.

Our products turn industrial data into sustainable business value by linking data science, cloud computing, and big data with industrial IoT.

Our off-the shelf software can easily be integrated into your existing environment as a layer of intelligence on top of the technology you already have.

Our zone of genius:

Arundo has several years of experience developing anomaly detection models on numerous pieces of industrial equipment. One of our standard approaches relies on a set of algorithms belonging to the unsupervised learning technique called clustering, which learns from historical data and builds up a much richer and complex view of system behavior across groups of sensors.

This anomaly detection approach accounts for multiple complex operational modes. It also enables the combination of multiple sensors into a single measure (a “virtual sensor”) of the health of the system. The trained model can then raise alarms when both previously unseen or known failure behaviors arise.