Carbon Footprint
BrainBox AI connects to your existing HVAC system in under three hours.
Within two to four months (depending on building size), the AI engine learns your building’s thermal behaviours and maps your system’s point names. It tests all algorithms virtually before deploying them in your building.
Now that BrainBox AI knows your building, it feeds external information, such as weather forecasts and utility tariffs, to our AI engine.
BrainBox AI’s deep neural networks can now predict the future state of each zone in a building with up to 99.6% accuracy.
Using these predictions, the AI identifies optimisation strategies and autonomously sends commands to individual pieces of HVAC equipment. That’s how it enhances your system to always use the least energy while ensuring the most comfortable temperatures for your occupants.
Building efficiency is achieved.
BrainBox AI continues to learn, act, and modify, becoming more efficient every day.
As your AI engine collects more data, it becomes better at understanding your building’s unique trends and how each zone reacts to specific changes. This helps increase energy efficiency and savings, decreasing GHG emissions over time as your AI grows smarter.
Leverages your building’s wealth of existing internal data to maximise savings, instead of casting it aside, and also integrates external data to lower costs and energy use.
Carbon Footprint
Energy Cost
Occupant Comfort
Equipment Life
From offices to shopping malls, colleges to retail, schools, airports, and municipal facilities, accelerate your building’s energy transition today.