Digital Lab

Anomaly detection solutions

In several business scenarios, predicting or evaluating anomalies results in a big impact in terms of economical savings.


Kwantis Digital Lab is constantly researching anomaly detection techniques that help humans to take actions as soon as possible.

The need of interpreting the results of the algorithms usually makes techniques to favor Machine Learning models rather than Deep Learning ones. We believe that the best algorithms and the best ensembles are chosen with respect to the domain and the data available.

A key success for Kwantis Digital Lab is the predictive engine used to anticipate geological issues (such as stuck pipe) during well drilling activities.

Case Studies

Our Expert

Our Expert

Anomaly detection solution EXPERT

Fabio Concina

Fabio has been involved in software engineering and data science for more than 8 years. In kwantis he co-led the development of the ID3 solution, trusted by major Energy companies around the world. He holds a BSc in Mathematical Engineering from Politecnico di Milano and a MSc in Statistics from University of Trieste.


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