A school used CO₂ and light sensors to track when classrooms got stuffy and dark, then alerted staff to open windows or adjust HVAC. High CO₂ and low light correlated with drowsy students, so real-time alerts helped facilities fix the problem before it tanked learning.
There's a use case with a previous company that started looking at CO2 inside of a building or light registry inside of a K-12 facility, noticing that students started to fall asleep at a certain carbon ppm, parts per million, and started realizing, okay, well, let that be a dashboard that says open a window. Turn on the HVAC. Let's up the quantity of fresh air versus recycled air. How do I take that data and put it to use in a meaningful way that impacts the occupants along with the building optimization? We're trying to optimize those humans as well.
