EnergyStar Portfolio Manager Integrations

WatchWire is an entrepreneurial, private equity-backed New York City-based provider of sustainability and energy management software-as-a-service and associated professional services to large commercial and corporate real estate, retail portfolios, industrial energy consumers, and utilities. By combining various streams of utility, weather, commodity market, metering, and building data in our integrated sustainability and energy management platform, we provide data-driven services and insights that help clients track and meet their ambitious sustainability goals, while also saving them time and money, reducing risks, and identifying cost-saving opportunities. Our clients range from mature sustainability veterans representing GRESB sector leaders, ENERGY STAR Partners of the Year, and progressive thought leaders, to companies just starting the sustainability journey with their first voluntary report(s), as well as clients simply interested in optimizing their utility bill management and reporting practices. Regardless of the ultimate end-use case(s), timely, accurate, and complete data is paramount to energy and sustainability management and reporting.

Our web-based software suite offers enterprise level analytics to unlimited users in your facility or system. It also enhances your organization by providing accurate and timely information. Our cloud-based software is easy to use thanks to our automated interfaces. Our software modules include Waste, Energy/Water and Food, as well as Purchasing. Your data can be presented in: Dashboards, Benchmarking graphs and dashboards, Trending charts, graphs and graphs, Push Reports. We can also report Diversity and Inclusion data on your behalf. Our team works closely with your vendors to create interfaces that get the data. The data is then automatically uploaded into the software (including historical information for up to 3 years). To keep staff updated on the latest sustainability goals and efforts, all charts and graphs can be linked easily. Data can be exported to Excel and other products for data mining research. Modules can be purchased as a single or as a set