Tangoe, Inc.

Budderfly, Inc.

Tangoe Us, Inc.

Christopher J DeBenedictis

Jaan Leemet

Paul Schmidt

Albert R Subbloie, Jr

Albert Subbloie

Kenneth Buda

Charles Gamble

Angela Saldana

Jeremy J Hicks

Kenneth Scott Fassman

William Butler

Jacob Marchinus Boerma

Jr Albert R Subbloie

A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Facilities grid micro demand response system

A system and method that allows for information relating to data and communication resource usage to be gathered and analyzed such that particular data transactions and usage can be classified based on purpose and/or type. Further, the system and method provide reporting based on amount of usage and/or purpose or type of usage so that associated costs and usage can be calculated applied and allocated to particular accounts, divisions, groups or individuals within and outside of a company or entity. Further, the system may restrict data usage of devices to data usage that can be allocated to particular accounts based on purpose, source, destination or other.

Data usage analysis and reporting

A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of 'normal' operation and determines what automatic action is to be taken for that piece of equipment.

Electrical equipment fault diagnosis and control

A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Machine learning application to predictive energy management

A system and method that allows for information relating to data and communication resource usage to be gathered and analyzed such that particular data transactions and usage of network accessible software applications can be classified based on purpose and/or type. Further, the system and method provide reporting based on amount of usage and/or purpose or type of usage so that associated costs and usage can be calculated applied and allocated to particular accounts, divisions, groups or individuals within and outside of a company or entity. Further, the system may disable features of or access to network accessible software applications based on lack or use, limited use or other metrics that fall outside of threshold ranges or values.

Real-time usage detection of software applications

Cost allocation for derived data usage

A system and method for setting a billing allocation between a user and a company allowing the costs for personal and work use of a mobile device during a period to be allocated as desired. The system and method further provides for allocation of costs associated with obtaining a new mobile device. The billing allocation model provides maximum flexibility to allow a user to obtain the mobile device desired, while still allowing the user to take advantage of a company's preferred corporate rates and discounts and allowing a company to maintain control of mobile device costs relating to purchase and use of the mobile device.

Hybrid liability model

A system allowing a user to efficiently locate and contact those individuals the user would like to communicate with and for collection of data about users to determine the best contact point to use at a particular time. The system monitors the data and may determine an individual's usage patterns in order to select or suggest contact points that are the best to contact a particular user at a particular time. The system may also allow for the routing of communications to particular contact points based on how the user receiving the communication would prefer to be contacted. The system allows for the single selection of an icon by an individual and automatically determines the contact point to contact the particular user. If further allows for the particular user to push out to others updated contact information.

Growing community of inventors

Branford, CT, United States of America

Christopher J DeBenedictis