Power Smarter.
Operate Cleaner.
Predict Better.
Xenvolt's Power & Utility Suite centralizes generation, maintenance, and asset insights enabling predictive uptime and data-driven energy optimization.
Intelligent Power and Utility Systems
Digital Twin Intelligence
Create real-time digital replicas of power plants and grids to monitor performance and predict issues before they occur.
Predictive Maintenance & Risk Modeling
Reduce downtime with AI-driven maintenance forecasting and risk simulation for critical assets.
Root-Cause Fault Analysis
Diagnose failures instantly with automated root-cause detection and corrective recommendations.
Safety Governance & Compliance Audits
Ensure workplace safety through AI-assisted audits and real-time compliance monitoring.
Performance Optimization Engine
Balance generation and load dynamically to improve efficiency and reduce energy loss.
Centralized Grid Insights
Unify multi-site operations under one view for complete transparency across assets and teams.
Results That Drive Change
Delivering real-world performance gains through predictive insights, automation, and operational intelligence.
Case Study
Result
Achieved 22% higher plant uptime, 15% reduction in O&M costs, and faster reporting through real-time monitoring dashboards
Decentralized solar sites led to delayed fault alerts, manual reporting, and compliance gaps
Solution
Xenvolt deployed its AI-powered governance platform to centralize asset tracking, automate fault prediction, and unify maintenance scheduling improving coordination across distributed solar plants
Impact Matrix
Uptime Improvement Rate
Predictive Maintenance Accuracy
Result
Achieved 22% higher plant uptime, 15% reduction in O&M costs, and faster reporting through real-time monitoring dashboards
What our client says about us
“With Xenvolt’s centralized O&M platform, we finally have a single view of our multi-site operations. Predictive insights and automated reporting have saved both time and money while boosting generation efficiency.”
Anish Date
Founder @Data Energy