NANTUM AI

ANOMALY DETECTION

User Generated Alerts

No one knows their building better than the engineers and operators who work in it every day. Nantum allows a user to create an alert against any data point within the building, selecting the trigger threshold, severity level, and type of notification they would like to receive.

AI/ML Anomaly Detection

Every day, Nantum analyzes historical data and combines it with predictive expected behavioral analysis to create a predictive model for all the data points within the building. We call this a Dynamic Boundary. When a data point moves outside its Dynamic Boundary, operators are alerted to a possible anomaly within their building.

Semi-Supervised Anomaly Detection

Point Anomaly

If a data point can be observed against other data points as an anomaly, it’s a point anomaly. This is the simplest type of anomaly.

Contextual Anomaly

If a data instance is anomalous in a specific context (but not otherwise), it’s a contextual anomaly. An example would be abnormal water use in the middle of the night.

Collective Anomaly

If a collection of related data instances is anomalous with respect to the entire data set, it’s a collective anomaly. An example would be a BMS malfunction with multiple sets of abnormal data.

Data Quality

Analyze data accuracy, completeness, consistency, validity, uniqueness, and timeliness.

Impossible Values

Identify missing data or impossible values from all meters, IoT devices, and data points for team investigation.

ML Data Correction

Recover from data outages by utilizing ML-driven data correction with over 90% accuracy.

Meter Data Anomaly

Real-time meter data outage and Customer Success team support to investigate the situation.

BMS Anomaly

Real-time BMS anomaly detection, such as electric demand and steam spikes, current, and power quality alerts.

Occupancy Anomaly

Detect unusual occupancy patterns in real-time, like overutilized spaces and unusual activity late at night.

Air Quality Anomaly

BMS and tenant comfort management through real-time indoor air quality alerts.

Water Anomaly

Real-time water management and leak detection through water meters, and IoT devices.