Decision-making improvements through deep insight for power plant managers, by visualizing and analyzing real-time data, using machine learning techniques.

Programmed algorithms detect faults and issues (e.g. by running analysis on actual vs theoretical production, turbine efficiency, etc.).

Machine learning techniques with anomaly detection to increase optimization of asset performance and knowledge of technical condition.

Captiva’s team of highly competent specialists (Ph.D./MSc/MBA) performs ML configuration, training, data modeling, data science, and big data analysis to ensure the realization of all users’ digital potential.