Anomaly Detection

Detecting anomalies to prevent disruptions

When anomaly becomes value

An AI algorithm for Anomaly Detection is trained to capture objects in the dataset that deviate from the norm and investigate possible correlations with other anomalies. Unusual data can indicate critical incidents, such as a technical failure or a fraud attempt, or potential opportunities, such as a change in consumer behavior. Integrated into analytical and production tools, anomaly detection helps your company forge its path to the future.

Technology

illustration of two images, one without defects and the other with defects

Ensemble Learning

The most innovative Anomaly Detection is based on the use of various types of Machine and Deep Learning algorithms in sync with each other.

Visualization of an anomaly detection process performed with an unsupervised AI model

Unsupervised Models

At the core of the most advanced algorithms are unsupervised or partially supervised models: they learn to recognize anomalies starting from unclassified data.