Know exactly what soiling is costing you
Disaggregate your losses. Optimize your cleaning schedule. Stop guessing.
The Problem We Solve
Soiling losses are hidden in your data
You know your plant is underperforming, but you can't tell how much is soiling versus equipment degradation, inverter clipping, or environmental factors. Without clear attribution, cleaning decisions become guesswork — and you're either overcleaning (wasting budget) or undercleaning (leaving revenue on the table).
Faults announce themselves too late
By the time an inverter trips or a string goes offline, you've already lost production. Traditional threshold alerts catch failures, not the gradual degradation that precedes them. You need visibility into what's failing before it fails.
No portfolio-level financial visibility
You have SCADA data per plant but no unified view of how your portfolio performs against financial projections. Revenue leakage from soiling, downtime, and degradation goes unquantified — making it impossible to prioritize where O&M spend delivers the most return.
What We Do
We build ML systems that disaggregate your losses — separating soiling from faults from environmental factors — and quantify the financial impact across your portfolio, so you can act on what actually matters.
What We Build For You
Soiling Intelligence
365-day soiling forecasts powered by physics-ML hybrid models. Optimize your cleaning schedule based on actual revenue impact, not guesswork.
- Disaggregate soiling from other losses
- Zone-level analysis across your fleet
- ROI-optimized cleaning schedules
Predictive Fault Detection
Catch inverter failures, thermal degradation, and string issues weeks before they cause downtime. Prioritized by revenue impact.
- Thermal RUL predictions for every inverter
- Digital twin anomaly detection
- Automated severity classification
Portfolio Analytics
See revenue at risk across your entire fleet. Track budget deviation, health scores, and performance rankings in one view.
- Plant-level risk scoring
- Budget vs actual tracking
- Financial loss attribution
How It Works
Connect Your Data
Link your SCADA, monitoring platform, or upload CSV files
AI Analyzes Your Plant
Digital twins and ML models detect what rules-based systems miss
Act on Insights
Prioritized alerts, cleaning schedules, and maintenance recommendations
Ready to see what you're missing?
About NuraVolt
NuraVolt combines physics-based modeling with machine learning to turn your existing monitoring data into predictive intelligence. We layer on top of any SCADA or inverter platform — detecting faults days before impact, optimizing cleaning schedules, and forecasting battery health. Easy integration in 2-3 weeks, cloud or on-premise.
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Frequently Asked Questions
Get answers to the most common questions about our platform
Ready to Start Your Pilot Program?
Our international team is ready to show you exactly how much you're losing and how we can recover it. Get your custom ROI calculation and start the pilot program.
Free Technical Resources
Whitepapers and checklists to improve performance monitoring and reduce O&M costs
Browse All ResourcesLet's Discuss Your Monitoring Challenges
Whether you need architecture guidance, a full implementation, or help building internal capabilities — I work across the spectrum.