This first version of our web app brings home energy insights to any web browser, and paves the way for powerful new features like data export and more.
Network Device Identification (NDI) uses broadcast messaging data to help train the machine learning algorithms of the Sense home energy monitor.
The data science team at Sense helps develops robust data models that are used to identify devices in your home. Learn how you can help train these models.
We’re excited to announce that we’ve closed a $14M Series A from Shell Technology Ventures, Energy Impact Partnersand our previous seed investors. We want to extend a big thank you to our enthusiastic early adopters.
At Sense, we're fascinated with energy efficiency and consumption. We're always looking for new ways to understand the factors around these topics, including through politics.
A common question for the data science team is “why is it so hard to detect light bulbs?” Learn why as our data science team tackles the question.