Tendril Acquires Disaggregation-as-a-Service Pioneer EEme

Combining Non-Intrusive Load Monitoring with the Deep Analytics
Capabilities of the Tendril Platform Enables the Next Generation of
Appliance-Level Disaggregation

BOULDER, Colo.–(BUSINESS WIRE)–Tendril,
the leading provider of Home Energy Management (“HEM”) solutions to the
utility industry, has acquired energy analytics provider EEme. The move
delivers on Tendril’s mission to expand the already best-in-class
capabilities of its data analytics platform through innovation and
acquisition. EEme provides a Non-Intrusive Load Monitoring (NILM)
technology that processes AMI data of any frequency to disaggregate home
energy loads and deliver highly accurate and personalized
recommendations with up to 90% accuracy. Combining EEme’s third-party
validated technology with Tendril’s TrueHome simulation model creates
the largest-scale NILM solution on the market, significantly improves
reliability and accuracy, and moves the entire field of appliance
detection forward.

“Appliance-level disaggregation holds great potential in helping people
reduce their home energy consumption, but to be effective we must
improve the accuracy and reliability of these solutions,” said Chris
Black, COO, Tendril. “With the acquisition of EEme we are enhancing our
device-usage detection capabilities with highly complex technology that
has been rigorously tested by third parties and validated by us over the
past 18 months with 10 terabytes of AMI data. Now when combined with the
Tendril Platform, we will finally unlock the value of delivering
appliance-level energy insights.”

Incorporating EEme’s technology within the Tendril Platform improves the
accuracy of insights provided across the company’s High Usage Alerts,
Home Energy Reports, Engagement Portals and other outbound
communications. Potential use cases include:

• Identifying new EV owners, then communicating a personalized offer for
  a TOU rate and a recommendation to charge during lower cost off-peak
  hours.
• Identifying HVAC systems that are becoming less efficient over time,
  then presenting a Home Energy Report that focuses on AC load
  reduction, as well as personalized offers for HVAC repairs and rebates.
• Identifying cyclic loads such as pool pumps, then using Orchestrated
  Energy to schedule the AC unit so it doesn’t run at the same time as
  the pump, thus avoiding coincident peaks.

“The key to Non-Intrusive Load Monitoring is not just estimating energy
usage but applying analytics to accurately parse the different loads –
both large and small,” said Kevin Prouty, Group Vice President, Energy
and Manufacturing Insights, IDC. “Only with advanced analytics, like
those inherent in some of the energy management applications that
utilities are currently deploying, can we deliver the insight needed to
bring the power of rapid machine learning to utility engagement and
efficiency programs.”

Continued Black, “We’ve long monitored the state of NILM but as
stand-alone technologies, they often drive customer complaints due to
false positives. This may sound like a small concern, but the moment a
customer questions the veracity of their reported energy usage, they
question everything and their trust has been lost. We’ve heard this over
and over from our utility customers that have tested NILM solutions in
the past so we really wanted to take our time and bring a unique
approach to the market.”

About Tendril

Tendril is changing the way the world uses energy. Our data analytics on
more than 123 million homes creates new business opportunities for any
product or service provider connected to the home. Today, this includes
electric and gas utilities, and energy retailers. Built over more than a
decade, the Tendril Platform delivers real-time, ever-evolving data
about the home and how people use energy in it. These rich insights help
our customers improve customer acquisition, increase engagement and
orchestrate home energy experiences. For more information, please visit www.tendrilinc.com
and follow us on Twitter at @Tendril.

About EEme

EEme provides a scalable machine learning platform that converts raw
smart meter data into appliance-level and equipment-level insights using
proprietary algorithms. EEme’s proven Disaggregation-as-a-Service™
(DaaS) technology provides demand-side management stakeholders with
appliance-level insights leveraging existing smart meter data and
without relying on new hardware investments or user intervention.

Contacts

Tendril
Elaine Reddy
720-252-8105
ereddy@tendrilinc.com