Our mission is to make it easy and cost-effective to monitor and optimize energy consumption of every building on the planet with scalable machine learning systems and help drive decarbonization of the built environment. Building operations cause around 28% of global greenhouse gas emissions, and are still rising due to slow and expensive energy optimization processes. Using data and machine learning we can solve many of the inefficient steps in the process, including robust identification, prioritization, collaboration, verification and monitoring of energy optimization efforts. We’ve welcomed many public and commercial building owners and partners to our network. We are now covering more than 15,000 buildings and more than 2 TWh of annual energy consumption. This has already led to large energy and CO2 savings, but we’re just getting started.