Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems to generate accurate predictions of asset failure. C3.ai Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver services- based differentiation, and reduce maintenance costs.
Reduce energy costs and improve building operations through real-time tracking, analytics, and optimization. C3.ai Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, building optimization, demand response, and anomaly detection to lower costs, improve operations, and meet energy- efficiency goals.
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning. C3.ai Sensor Health uses advanced AI/machine learning to predict sensor failures and identify sensor and network health issues with a high degree of precision.
Indoor positioning and dynamic navigation
Guided and regular maintenance inspections, provide information related to the inspections, location-based content, and time record of tasks carried out in the application.