Energy providers and oil & gas companies face unplanned outages due to equipment
failures in turbines, rigs, and refineries. Traditional maintenance is reactive and costly,
often leading to downtime worth millions.
solution
Our Solution
We implemented AI-powered predictive maintenance systems that analyze sensor data
to detect anomalies and forecast failures before they occur.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect IoT sensor data from turbines, pumps, and rigs.
Step 2
AI models detect patterns and anomalies in operations.
Step 3
Predict potential failures and suggest maintenance windows.
Step 4
Provide dashboards for operators with actionable insights.
Quantifiable Benefits
Reduction in equipment downtime
%
Lower maintenance costs
0%
Longer asset lifecycle
%
Who’s Using This
Shell predictive analytics in refineries
GE Digital in turbine monitoring
Siemens Energy AI-based maintenance
Why It Matters
Proactive maintenance saves millions, ensures worker safety, and strengthens energy
reliability.
case studies
Real Results. Real Impact.
See how these use cases helped industry leaders transform operations with AI & XR.