This document provides an introduction to Sense, an intelligence system for the home. It explains that Sense uses high-resolution metering to sample a home's power usage one million times per second and conducts machine learning to identify the unique signature of each electrical device and determine its energy usage. As Sense collects more data from homes over time, its library of device signatures grows continually. The document also outlines potential smart home use cases for energy awareness and control, home awareness, security and reliability, and control and automation. It notes that Sense is partnering with Landis+Gyr to integrate with next generation utility meters.

1. April 2019
An Introduction

2. |
Sense: Intelligence for the home
Confidential | 110/4/17

3. |
Demo
Confidential | 210/4/17

4. |
How does Sense work today?
HIGH-RESOLUTION
METERING
Sub-second sampling of current and voltage
Edge computing connected to cloud and
other smart home tech
Today installed as a retrofit in panels,
leveraging home Wi-Fi
MACHINE LEARNING
Sense samples each home’s power one
million times per second.
Sense conducts machine learning to
identify the unique signature of each
electronic device, determine its state and
energy usage.
Sense is building up a library of signatures.
As Sense collects more data, is in more
homes, and samples a diversity of
appliances, the library is continually
growing.
NETWORK EFFECT
Confidential | 310/4/17

5. |
Smart home
use cases
Confidential | 4
Energy awareness & control Home awareness
Security & reliability Control & automation
10/4/17

6. |
At the intersection of energy and the smart home
5

7. |
Partnering with Landis+Gyr on next generation meters
6
Next Generation
Utility Meter

8. Thank you
www.sense.com