Tendril Networks, Inc.

Michael Bukhin

Paul Cole

Charles D Corbin

Robert Faludi

Demetrie Tyler

Emily Weitkamp

The technology disclosed herein provides accurate, targeted, building improvement content in a way that resonates with the user by considering the user's whole ecosystem. The technology uses details of the user's home, neighborhood, family, environmental and historical factors, goals, economic situation, and motivations and preferences to tailor content to a user's personal situation. A server or other computing device may accomplish this by receiving data from the client, a third party, or data local to the server; building modeling constructs based on these data sets such as a physics-based model of the building and a behavioral model of the user; operating these models relative to possible discrete building improvement content units; and using the results to determine personalized building improvement content for the user such as, for example, a webpage.

Personalization of recommendations based on building model and behavioral science

A method and system for managing energy usage in a building is provided. The method includes collecting data on energy consumption in the building on a generally continuous basis for at least a given time period. Information relating to the energy consumption is displayed to a user on one or more devices. The information includes (a) the data collected on energy consumption to be displayed in real-time on the one or more devices, (b) a comparison of the data collected on energy consumption in the building to energy consumption data of a cohort or group of cohorts, (c) recommendations for reducing energy consumption in the building based on the data collected on energy consumption, and (d) progress report data comparing the data collected on energy consumption to a desired consumption level.

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Otis, MA, United States of America

Michael Bukhin