Jon Abe Vice President of Engineering
The Solarlytics MU is a precise string level monitoring system that measures at high-frequency intervals, providing operators with clear details of performance and operating conditions
SUGO is a high-power DC-DC converter designed to optimally set and maintain the peak power point regardless of changing light or temperature. SUGO leverages advanced algorithmic machine learning technology to improve performance over other optimizers employing standard industry technology.
The SolCloud Network Center allows users to monitor real-time output of the modules and SUGO. The system provides real-time intelligence by utilizing machine learning to analyze data and continuously improve PV system performance.
We’re inventing technology
to significantly increase
harvestable photoelectrons. By intelligently controlling
specific surface dynamics
of each solar cell, we can
free locked electrons
to increase the energy
output of each cell.
We’ll keep you up to date with the latest solarlytics progress, innovations, and general announcements. (And we’ll keep all your information private!)