The difference between a well run renewable portfolio and an underperforming one is not the resource. It is what you know, how early you know it and what you do about it.



















































Power BoosterPower Booster automatically spots issues and shows you exactly how to fix them.
OEM contracts cover availability. If you are leaving money on the table due to underperformance, that is on you. Power Booster tells you which turbines are falling short, by how much, why, and exactly what to do about it.
Our models benchmark every turbine against its own historical behavior, not a theoretical OEM curve. Flagging is automatic, but if you want to verify, an analysis ready power curve is one click away. Air density correction, curtailment filtering and unavailability cleaning are all taken care of.
When a deep dive is needed, Power Booster surfaces the precise analysis for that specific issue. Sensor comparisons, pitch angles, wind direction views. You see exactly what is relevant, not a dashboard full of charts to navigate on your own.
Predictive MaintenancePredictive Maintenance finds subtle signs of failure risks because SCADA alerts you when it's already too late.
When a SCADA alarm fires, your window to plan has already closed. Our machine learning models flag early signs of component failure so instead of reacting to a breakdown, you have time to plan an inspection, order parts or schedule a technician visit.
SCADA alarms fire when a sensor crosses a fixed limit. But what is normal for a turbine depends on ambient temperature, load and dozens of other factors. A bearing at 68 degrees in cold weather can be more alarming than one at 72 degrees under full load. Our machine learning models learn what normal looks like for each turbine under each condition, and flag what falls outside of it.
Plan interventions when conditions are right—avoiding unplanned downtime, extending component life, and reducing emergency repair costs.
OutagesOutages identifies unusual outages, analyzes all alarms and calculates losses and availability automatically.
Not every stop has a legitimate cause. Wrong parameter settings, sensor errors and calibration issues can trigger shutdowns that should never have happened. Outages identifies these unnecessary shutdowns, traces them back to the triggering alarms and quantifies the production loss behind each one.
Pick a turbine and trace every stop back to its cause. Or pick an alarm and see which turbines it has hit, how often and for how long. The full picture, from whichever direction you need it.
Every outage is logged, its root cause alarm identified and its category assigned automatically. Time based, energy based, revenue based and contractual availability figures are always accurate, always up to date and always audit ready.
KENKEN, Kavaken's AI agent, answers questions about your portfolio instantly, surfaces critical issues and delivers weekly performance summaries
KEN monitors your entire portfolio around the clock and notifies you when something needs attention. And when you need to know something, just ask — turbine level, farm level or full portfolio, backed by live operational data, any time of day.
With a generic assistant, you spend time explaining the situation before anything gets done. KEN is connected to your live operational data, so when you ask about a flag or instruct it to email the OEM, it knows everything it needs to act. Like a seasoned colleague who has been with you for years.
Handwritten notes and maintenance logs are full of insights buried too deep to surface manually. KEN reads through years of records and tells you whether a similar issue occurred before, what resolved it and how long the fix took.
See how industry experts are optimizing their renewable portfolios with Kavaken.

"Within the TotalEnergies On Program, Kavaken is used on more than 100 assets on a daily basis."

Program Director
TotalEnergies

"Kavaken provided us with the opportunity to examine, analyze, and interpret our turbines in more detail. While we were spending hours downloading hundreds of data points to create tables, formulas, and graphs, the platform enabled us to generate reports with a single click, saving time and reducing workload. Thanks to the Predictive Maintenance module, Kavaken helped us plan work during low-wind periods and minimize unexpected downtime, thus preventing invisible profit loss. KEN has become a useful teammate, since we started using it."

Power Plant Manager
Briza Wind

"We have benefited from our cooperation while securing a tangible impact on the availability and power curves thanks to the cases granted by Kavaken."

Director of Power Plants
Eksim Enerji

"Kavaken has become indispensable for our operations: we can live-track our plants, gain insights into past performance and future risks, and now we have KEN, our 24/7 assistant."

General Manager
Genpa Enerji