Need to trim costs across your building portfolio? Gridium, an energy-management-as-a-service provider, empowers owners & operators to reduce energy costs by 5-7%, through its operator-friendly analytics platform and strategic, on-demand expertise. It's risk-free to try (no hardware is required). Gridium’s platform automatically collects and analyzes your building’s utility data, creating a model tailored to your building. Operators rely on its intuitive analytics to optimize energy use by pinpointing schedule improvements, equipment issues, and demand management opportunities. Their rate engine also identifies significant savings linked to utility rate changes and billing errors, all for one low subscription fee.
Since 2011, Gridium has partnered with building owners and operators to simplify energy performance management. Across 3,600 buildings and 300 million square feet of real estate, Gridium customers have saved millions of dollars on electricity, gas, and water utility bills, reduced their carbon emissions, and executed on their sustainability goals.
Drew DePriest from McKesson reveals how to spot bad APIs before they cost you six figures. Real red flags, practical questions, and what good looks like.
This NexusCon 2025 session features Conor Cleary of Tefiki tackling one of the hardest problems in smart buildings: how to drive real energy and comfort improvements in the 87% of buildings that lack modern controls.
NexusCon 2025’s “Kickstarting Energy Savings” session goes straight after the problem the Untapped 87% white paper laid out: small-to-mid-size buildings are most of the building stock, and most still don’t have real controls or monitoring.
This NexusCon 2025 panel, moderated by Rachel Kennedy (Solutions Engineer, KODE Labs), brings together April Yi (Director, Digital Engineering, Microsoft), Niharika Kishore (Sr. Sustainability Specialist, Amazon), and Thomas Grant (Global Manager of Energy and DTV Energy, Wendy’s) to unpack what “AI for energy management” actually means in practice.
At NexusCon 2025, April Yi, Director of Digital Engineering at Microsoft, walked through how her team is using machine learning to dynamically control HVAC start and stop times across roughly 50 buildings.
Head over to Nexus Connect and see what’s new in the community. Don’t forget to check out the latest member-only events.
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