Solar power is the fastest growing power generation technology in history. Accurate and current facility-level data are crucial for managing intermittency and planning the grid. We have developed algorithms using earth observation and machine learning to accurately identify the capacity, land area, and age of every large solar facility worldwide.

As many know, our initial product was computer vision algorithms to estimate productivity and emissions from large fossil fuel facilities in regions where data is unavailable or infrequent. However, not everyone knows our goal is to create a global standard for energy planning data. This is because our overarching purpose is to help ensure affordable and dependable clean energy for all, especially in low-income countries.