Nomad Go’s AI Used by Greystar Real Estate Partners, McKinstry, and SmartBuildings Center to Reduce Energy and Greenhouse Gas Emissions by Over 38%

Kirkland, WA - June 23rd, 2021 – Nomad Go announced today results from deployments
of its AI edge computer vision platform that shows a reduction of carbon emissions and
energy costs by over 38% in commercial and multi-family buildings. Deployed in
partnership with ATS Automation, the results from three leading companies in the built
environment – Greystar Real Estate Partners, McKinstry and the Smart Buildings Center -
represent a significant cost savings for owners and operators of buildings and a powerful
milestone in the fight against climate change.

The real estate industry is the single largest contributor to climate change, with
approximately 39% of global CO2 emissions. One of the key reasons for this is that today
HVAC in buildings is controlled by set schedules - regardless of actual occupancy in a room -
resulting in long periods of heating, cooling, and ventilating empty spaces.

Instead, Nomad Go’s climatetech enables dynamic HVAC control based on live occupancy –
effectively heating, cooling and ventilating spaces only when they are occupied. Working
with customers and leaders in the HVAC industry, Nomad Go has saved energy usage and
reduced greenhouse gas emissions in real world deployments. These include:

Greystar Real Estate Partners: The global leader in multi-family development and
property management, Greystar deployed Nomad Go to control common area HVAC at their
Ascent high-rise property in Seattle. Previously the HVAC operated based on a schedule that
ran most of the day and night. With Nomad Go, the HVAC only ran during resident
occupancy, representing hours of savings. For more information, the full case study can be
found at

“Nomad Go’s ability to save Greystar variable energy costs, increase the net asset value of
our buildings, and reduce greenhouse gas emissions is a game changer” said Adrian De
Smul, Senior Director of Customer Experience and Innovation, Greystar, “We are excited to
continue expanding the use of Nomad Go across our portfolio to capture the business and
environmental impact.”

McKinstry: McKinstry is a national leader in designing, constructing, operating and
maintaining high-performing buildings. They deployed Nomad Go live occupancy control in
their Seattle headquarters, replacing a set schedule that ran 11 hours a day. For more
information, the full case study can be found at

“By controlling HVAC using dynamic occupancy instead of static schedules, the Nomad Go AI
solution at McKinstry’s headquarters saved over 38% energy usage and an equal reduction
of CO2 emissions, which is a huge step forward in the decarbonization of buildings. As
signers of the Carbon Pledge, McKinstry is excited to work with Nomad Go to offer this
solution to our customers and help reach our goal of net-zero annual carbon emissions by
no later than 2040,” said Dean Allen, CEO of McKinstry.

Smart Buildings Center: Smart Buildings Center is an organization focused on promoting
the smarter use of technology and practices in the built environment to drive energy
efficiency and enhance the occupant experience. Partners in the Smart Building Center
include leaders across the utilities and facilities industries. Nomad Go is installed in their
conference and training areas in the Pacific Tower in Seattle.

“Smart Buildings Center is committed to making buildings more dynamic, so we are thrilled
to see the impact that Nomad Go’s AI has had on energy savings, reductions in greenhouse
gas emissions and improving air quality inside of buildings, including our own,” said Stan
Price, Smart Buildings Center.

“We are excited to work with leading companies and organizations in the building industry
such as Greystar, McKinstry and Smart Buildings Center to prove that Nomad Go’s AI can
significantly reduce energy costs and CO2 emissions by transforming set HVAC schedules
into dynamic systems that responds to live occupancy,” said David Greschler, CEO, Nomad
Go, Inc. “The entire Nomad Go team is thrilled about using our edge AI computer vision to
help reduce buildings’ impact on climate change.”

Initial research into using live occupancy to control HVAC was developed for the Department
of Energy by Pacific Northwest National Laboratory (PNNL), which suggested the potential
for upwards of 23% energy savings. Nomad Go is the first edge computer vision platform to
provide the necessary level of accuracy for live occupancy to effectively control HVAC to
save energy and reduce CO2. The federal government has set a goal of reducing the carbon
footprint of U.S. buildings by 50 percent by the year 2035, primarily through the retrofitting
of some four million buildings across the country.  

To learn more about Nomad Go Visual Intelligence and our free assessment, contact us at or visit

About Nomad Go

Nomad Go Visual Intelligence allows businesses to understand and improve physical spaces
like never before. With our out-of-the box computer vision solution delivered on the edge,
businesses across all industries can unlock actionable knowledge about any physical
environment to make spaces healthier, sustainable, and energy efficient. www.nomad-

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