Predictive maintenance & anomaly detection in large time-series (cross-industry)

Our horizontal core capability: detecting faults, drift and rare events in large, multidimensional time-series and IIoT/sensor data — including acoustic and process signals. We combine domain knowledge with data-driven models for explainable, operator-actionable alerts and forecasts (load, consumption, asset condition). Applicable across manufacturing, energy and utilities — for example turning installed smart-metering and network data into leak/loss detection and consumption insight. (Capability offer for the utility domain — we are seeking utility/Stadtwerke pilot partners here.)