Currently half the world lives in a city; soon 70% will. Buildings use 40% of the world’s electricity. In the U.S. alone, the value of commercial real estate tops a trillion dollars. And much of this asset class is still run with spreadsheets, clipboards, and outdated software.
Meanwhile, building operators are being asked to do more with less. Mobile workforces, climbing energy costs, complex IT needs, and rising occupant expectations are forcing operational staff to find better ways to work.
Gridium crafts beautiful, easy-to-use tools for the way buildings work now: mobile, always-on, and data-driven. Whether you are managing energy use, coordinating vendors, or communicating with occupants, your software should make your job simpler, not more complex.
COVID-19 has changed commercial building operations and Basin Street has responded, with help from Gridium’s software, to adapt protocols and procedures and prepare buildings for tenants’ return to work.
Multiple commercial office buildings in Seattle are selected for first key step in innovative pilot program where, for up to 20 years, these buildings can sell harvested efficiency energy back to the Grid
Product proves to be a cost-control tool for property owners during COVID-19
Rocky Mountain Institute analysis and Foothill de Anza Community College District show value of data and Distributed Energy Resources.
Commercial property operators often face a dilemma about energy efficiency measures. Tenants tend to reap most of the benefits in the form of lower energy bills, but a program in Seattle is testing a possible answer.
Gridium announced today that its software, used by Kilroy Realty Corporation for data-driven sustainability, identified a twenty-six thousand dollar utility bill credit at one of two newly developed tech buildings in San Francisco.
Monthly changes in building relative occupancy – percent of space leased – can greatly affect energy use in large commercial buildings, and especially in multi-tenant office buildings.
Gridium announced today its inclusion in the BuiltWorlds Building Tech 50 List, featuring leading companies rapidly advancing how buildings are designed, built, operated, and maintained.
Gridium technology, powered by AI, delivers real outcomes including satisfying workspace environments for tenants, accurate Measurement & Verification analyses, and validation of successful energy efficiency projects.
11 Initial Partners Include Leaders in Real-Time Location Services, IoT Networking and Energy Management
Assessment of Automated Measurement and Verification (M&V) Methods
What is the greatest challenge facing the energy industry over the next 5 years?
Gridium Inc., a developer of software tools for commercial real estate and electric utilities, today announced that Douglas Emmett, a real estate investment trust, is deploying Gridium’s cloud-based big data analytics software across its entire portfolio of 58 buildings.
Kilroy Realty provides premium, adaptable and productive work places for a wide range of client industries, including technology, media, engineering, healthcare buildings.
Most companies are unprepared for the emerging revolution in predictive energy analytics.
Utilities are collecting unprecedented amounts of information from millions of smart meters installed in recent years
In order to break through the noise, startup Gridium is focusing on simplicity with its latest product offering.
In just a few words, can you talk a little bit more about what problem your company is solving?
The 2013 Global Cleantech 100 List
Kilroy has seen a great return on investment with its data management vendor, Gridium, which compiles the weekly emails for Neff. Gridium also uses weather data to anticipate peak demand days, notifying Kilroy to reduce its electrical usage in advance of peak summer periods. The vendor has helped Kilroy save 402,407 kilowatt hours and $77,642… Read More
There will be petabytes of smart meter data emerging in the coming years, which means there will be a growing need for new tools to analyze and make sense of all that data.