Predictive Analytics/Optimization

Cognitive Anomaly Detection and Prediction - Harness the flood of sensor data coming from every machine. Cognitive anomaly detection and prediction puts data science to work for significant improvements in downtime, quality, and the bottom line.

Proprietary technology platform for monitoring and remotely diagnosing residential and commercial solar systems. The predictive performance platform is being designed to quickly and accurately detect all types of system performance issues and to guarantee the lifetime performance of the system.

generate accurate predictive models for time series analysis in seconds, fully automatic, as a transparent formula providing useful insights about the dynamics hidden in the data. TIM eliminates the data science skills burden, and is extremely efficient on computing time which allows machine learning solutions to be executed directly on a device. The core of the technology is applicable for a variety of advanced analytics challenges such as time series analysis, complex pattern recognition, anomaly detection and classification.

GridCure provides a platform for distribution data analytics that ingests distribution system data and provides a user-friendly assessment of the grid's health. It also uses machine learning algorithms on the data to identify the root cause of problems in grid assets and indicates the level of urgency that different grid assets may have regarding maintenance.