How Works

executes minute-by-minute energy-conserving strategies that complement and further sophisticate the Building Management Systems with which it works. Device-level energy consumption is optimized in real time across large campuses and geographically-dispersed portfolios of buildings. In a continuous ‘self-improvement’ cycle,  is always on, continuously evaluating and acting on data received. 

gives site managers the discretion to modify operating parameters and otherwise be in control of their buildings, while still enabling them to optimize energy consumption. By selecting from 's sophisticated human comfort options, managers can impact on the building data points that will be monitored; HVAC and other device settings that will be optimized; and the parameters within which each device setting can be changed.  always focuses on the competing goals of trying to maximize human comfort while minimizing energy consumption. 

monitors critical factors such as temperature, humidity and occupancy in each designated building space and, over time, “learns” the behavior of such spaces under the constantly-changing daily conditions of normal operation. Then, based on real time satellite weather forecasts; space schedules as well as actual occupancy-sensor feeds; and, where relevant, energy pricing and other supply constraints, it modifies machine settings as often as needed to optimize and reduce energy consumption.

achieves these goals using artificial intelligence and neural network learning systems.