BrainBox AI is at the forefront of the green building revolution with its unique technology combining artificial intelligence and cloud computing to create the world’s most advanced autonomous decarbonization solution available commercial real estate sector.
BrainBox AI merges deep learning algorithms on existing HVAC functionality to automate the modulation of each component, reducing a building’s total energy costs by up to 25% and carbon footprint by 20-40% while improving occupant comfort by 60%. The solution leverages AI to predict building energy consumption at a granular level, enabling autonomous HVAC systems to operate buildings pre-emptively versus the current reactive approach.
Stanford University is combining HVAC occupancy signals, scheduling systems, space-planning databases, and occupant input to build the confidence threshold it needs before deploying occupancy-driven airflow setback in labs.
James Dice introduces the Nexus Labs Condition-Based Maintenance Playbook, built from 50+ case studies, walking through why CBM is best understood as a layer on top of existing maintenance programs—not a replacement—and outlining the eight-step framework for setup, piloting, and rollout that the industry's leading building owners are using to reduce reactive work, extend asset life, and prove value to leadership.
Head over to Nexus Connect and see what’s new in the community. Don’t forget to check out the latest member-only events.
Go to Nexus ConnectJoin Nexus Pro and get full access including invite-only member gatherings, access to the community chatroom Nexus Connect, networking opportunities, and deep dive essays.
Sign Up
Nexus Labs is the home for the connected buildings ecosystem
Sign up for The Connected Buildings Briefing, our 5-minute briefing on the people, tools, and playbooks changing how building run. Delivered every two weeks to 8,000+ building professionals.
.png)