EEme

EEme

Converts big data into actionable insight to mine for residential energy efficiency sweet spots.

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Emerging from Carnegie Mellon University as an Analytics-as-a-Service spinout, EEme was founded in Pittsburgh in 2016 by Enes Hosgor. The company established itself by developing a sophisticated platform focused on Non-Intrusive Load Monitoring (NILM). This technology is designed to enhance the operational efficiency of the electric grid.

EEme's core business revolves around providing appliance-level energy consumption data insights to its clients, who are primarily demand-side management stakeholders and utilities. The company's business model is centered on a Disaggregation-as-a-Service (DaaS) offering. This service utilizes a machine learning-based platform and proprietary algorithms, including custom-built hidden Markov models, to process raw smart meter data. The key benefit for clients is the ability to gain granular insights into energy usage at the appliance and equipment level without needing to invest in new hardware or rely on user intervention. This disaggregation of home energy loads allows for customized recommendations for home improvements and helps end-users reduce their energy consumption.

The company's journey includes participation in the Accelerace accelerator program and securing funding from institutional investors such as Village Capital, Baruch Future Ventures, and Innovation Works. On January 17, 2019, EEme was acquired by Tendril, a provider of Home Energy Management solutions, which was later acquired by Uplight. The acquisition was driven by Tendril's goal to enhance its device-usage detection capabilities by integrating EEme's technology, which had been rigorously tested with terabytes of advanced metering infrastructure data. The combination created a large-scale non-intrusive load monitoring solution, aiming to unlock the value of delivering precise, appliance-level energy insights to consumers.

Keywords: energy analytics, non-intrusive load monitoring, NILM, smart meter data, energy disaggregation, appliance-level insights, demand-side management, energy efficiency, machine learning, Carnegie Mellon University spinout, Tendril acquisition, Uplight, Enes Hosgor, Disaggregation-as-a-Service, DaaS, utility data analytics, home energy management, energy consumption data, grid efficiency, energy intelligence

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