Babel Buster Network Gateways: Big Features. Small Price.
EMAIL INTERVIEW – Nicholas Gayeski and Ken Sinclair
Nicholas Gayeski, PhD, Partner,
KGS Buildings, LLC
Nick Gayeski is the CEO and Co-Founder of
KGS Buildings, a Building Performance Analytics Company that creates
information to help manage facilities better. KGS is a Microsoft
Partner, a Schneider Electric
Ecostruxure Technology Partner, and a leading provider of automated
fault detection and diagnostics software. At KGS, Nick works with
organizations across many industries to incorporate fault detection and
diagnostics into their operations to achieve energy savings, improve
comfort, prioritize the use of resources, and extend equipment
lifetime. He holds a Masters and PhD in Building Technology from the
Massachusetts Institute of Technology.
You just got back from IBcon
2015. There are so many vendors in the market now, where does KGS
was a great, informative event with a
lot of vendors from across our industry demonstrating great products
and services. The buzz about analytics and how it can be
applied to buildings is getting louder every year. There is great work
being done by consultants to help their customers navigate this new
world, and there are many companies with products and services to help
deliver pieces of the analytics puzzle. There are products to help
integrate, normalize, and aggregate data and service companies to do
that for you. There are products that allow you to program rules to
apply a type of analytics to your data, and separate companies who will
program them for you. There are companies that will deliver
mechanical or control services based on those analytics to affect your
facility operations. Where we feel strongest at KGS is in
providing a turnkey approach to data integration, storage and
analytics, with a focus on accurate information that cuts through the
noise to help our customers and partners manage facilities better.
Sinclair: If you feel you provide analytics from end to end, how do you work with other companies in the industry?
with partners is an important
part of how we do business and support our customers. Much of the
information we produce points our customers and service partners toward
needs for mechanical services, control services, or engineering
projects. Customers can handle some of this work in-house, with
their own teams, but often they need their mechanical, controls and
engineering service providers to help. Those are the partners we
work with, the ones who can deliver services based on the information
we produce to help them achieve their customers goals.
Sinclair: How do you fulfill that role? What do you mean by end to end analytics to deliver information?
see a few different layers in delivering useful information to our
What sets us apart here is that we are
highly configurable to the unique engineering and sequences of each
site, without having to reprogram rules or apply them uniquely to each
site. We follow a mass-customized analytics approach wherein the
same code libraries are delivered to all customers, but through
parameterization and metadata those analytics run differently for each
site on each equipment. We don’t reprogram individualized rule
sets for each site like other vendors. This also means that a
reseller or a customer doesn’t have to separately manage and maintain
the analytics for every site they connect. This is a huge
scalability and maintainability challenge that we have tackled through
Given the role you play, who are
your best partners and customers and what do you do for them?
Nick: The service partners and customers who fit us best are the ones who want information to manage their complex facilities better, not lots of data for nothing and not a rule writing platform. They are the ones for whom analytics has a specific job to perform, which is to help inform how to manage their facilities or their customers’ facilities better. They want to save money, save energy, manage personnel effectively, prioritize resource expenditures, find new opportunities to improve, and extend the lifetime of equipment. We don’t expect our customer or partners to have to manage IT hardware to enable a solution, or write rules for every type of equipment in order to start generating information. Rather, they expect from us that we will produce actionable information from their data rapidly and scalably to drive prioritized and proactive maintenance.
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