Predictive Analytics Solutions for Renewable Energy Reliability
Reduce failures, optimize interventions, and increase availability with AI-driven insights.
What We Do
At Verolyze, we were born from the intersection of renewable energy expertise and cutting-edge data science. After years of working side by side with operators of wind and solar assets, we realized that traditional monitoring tools were not enough: SCADA systems react, but they don’t anticipate.
That’s why we created Verolyze: a service that transforms operational data into predictive intelligence, helping operators prevent failures, prioritize interventions, and maximize the life cycle of their assets.
Our mission is simple:
Reduce operational costs and maximize asset reliability across wind and solar power plants through daily predictive analytics powered by machine learning and expert knowledge.
Key Achievements
🧠 +10 Years
Of Reliability and Operational expertise enhanced by billions of training data points
-75%
Reduction in transformer failures
-78%
Temperature alarms in transformers, generators, and gearboxes
0
Fires since the implementation of ML temperature models
+150
Machine Learning models active across plants
3%-5%
Improvements in performace
-90%
Failures in solar plants
100+
Successful warranty claims across the fleet
+5 Years
Extension of asset life and reduction of costs
Why Choose Us
🌍 Multi-Technology Expertise
Proven coverage across wind, solar, and hydro assets.
🧠 Expert Knowledge Agent
10+ years of operational reliability expertise combined with billions of data points and advanced AI — transforming experience into real-time guidance.
⚡ Beyond Alerts
Our models don’t just detect anomalies; they prioritize interventions, guiding teams toward the actions that matter most.
📈 Proven Results
Backed by measurable success stories: fewer failures, extended asset life, and millions in savings across renewable sectors.
🤝 Smarter Operations
Improving coordination of personnel and enhancing communication with maintenance teams for maximum efficiency.
