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Mike Phillips is a machine-learning and speech-recognition pioneer who studied electrical engineering at Carnegie Mellon University and was a research scientist in MIT's Spoken Language Systems group. In 1994 he co-founded the Boston speech-recognition company SpeechWorks, serving as CTO until its acquisition by ScanSoft, and in 2006 he co-founded Vlingo, an early mobile voice assistant used on Samsung and Nokia phones. In 2013 he co-founded Sense to apply the same signal-processing and machine-learning techniques to home electricity, identifying individual appliances from a single monitoring point at the breaker panel. As CEO he has led Sense from a consumer energy monitor into an embedded metering platform licensed to utilities and hardware partners such as Schneider Electric.
Ryan Houlette co-founded Sense in 2013 alongside Mike Phillips and Christopher Micali, bringing an engineering background rooted in the Boston speech- and language-technology world the founders shared. He leads Sense's engineering as chief technology officer, overseeing the machine-learning systems that disaggregate a home's electricity into the signatures of individual appliances from high-resolution measurements taken at a single point. He has helped extend that disaggregation software from a standalone consumer device into an on-meter intelligence platform that utilities and panel makers embed directly into smart meters and electrical panels for grid-edge analytics.
Christopher Micali co-founded Sense in 2013 with Mike Phillips and Ryan Houlette, joining as a product leader after working with the founders in the speech-recognition industry. As Sense's head of product he has shaped the company's appliance-level energy monitor and app, which give homeowners a real-time, device-by-device breakdown of electricity use and solar production from a single sensor installed in the breaker panel. His product work has guided Sense's evolution from a DIY consumer monitor toward an embedded metering platform aimed at both household insights and utility-grade load intelligence.
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A compact device installed in the home's electrical panel that samples voltage and current millions of times per second and uses machine learning to identify the distinct electrical signatures of appliances, from HVAC and water heaters to ovens and refrigerators. Through the Sense app, homeowners see real-time and historical energy use broken down by device, spot wasteful loads, and receive alerts. It also supports solar production monitoring, giving households a unified view of generation and consumption.
Sense's disaggregation software licensed to utilities and hardware partners who embed it directly into smart electricity meters and electrical panels, such as Schneider Electric panels, rather than requiring a standalone device. This lets utilities deploy appliance-level energy intelligence at scale for efficiency programs, outage detection, and grid analytics, and gives panel makers built-in monitoring. The platform turns ordinary metering hardware into a data source for both consumer insights and utility-grade load forecasting.
58 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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