Identify high-risk assets and recommend prescriptive actions before failures occur. C3.ai Predictive Maintenance enables operators to prioritize maintenance expenditures and directly operationalize maintenance through seamless integration with existing work order management and business systems.
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning. C3 Sensor Health uses advanced AI/machine learning algorithms to predict sensor failures and identify sensor and network health issues with a high degree of precision.
Monitor health and predict failure of systems, subsystems, assets, and components using advanced machine learning algorithms. C3.ai Reliability enhances process performance, improves operational efficiencies, and boosts production.
Enable oil and gas field engineers and operators to visualize and optimize upstream production operations. The application generates a virtual metering network to predict network flows, back-allocate production to individual wells, and recommend operational improvements that address production and sensor issues.
Guided and regular maintenance inspections, provide information related to the inspections, location-based content, and time record of tasks carried out in the application.
Created to encourage learning and training environment, easy introduction process, and provide safety instructions.
Allow the real-time visualization of loT sensor devices with machine learning, production status monitoring, and device AR control.