Efficiate is reinventing building benchmarking. Building Efficiency Prediction Engine (BEPE) is a software technology product that predicts building environmental performance on-demand, within needing measurement of utility meter usage.
For a selected building, Efficiate’s gradient boosting machine learning engine computes the energy-use-intensity (EUI) of a building using large multi-categorical spatial datasets and internal data science talents.
Unlike standard building benchmarking methods that rely on hard-to-acquire building information (access to utility bills, operational details, and building equipment), our product brings utility intelligence to the decision making process within seconds instead of days or weeks.
Efficiate's BEPE deploys modern machine learning operations framework (MLOps) to keep pace with customer demands. We have built an MLOps pipeline that can deliver accurate, real-time intelligence for our valued customers. We have a talented machine learning team built of Computing Science professionals from the world-renowned University of Alberta.