Real-Time Occupant Count-Based HVAC Optimization
Goes Well Beyond APIs
Maximizing operational efficiency with the most accurate space utilization data in the industry.
BACnet enabled data on-prem or via the cloud to integrate with any BMS.
Gain a clear understanding of how your facilities are truly being utilized, uncovering meaningful insights into usage patterns across seasons, the academic year, and each quarter. Optimize operational decisions on staffing, security, and cleaning schedules with precision.
Seamlessly connect this data with your Building Management System to reduce energy consumption and lower GHG emissions, creating a more efficient and sustainable facility.
Energy savings stem from reduced fan speeds and optimization of the volume of outside air being heated or cooled. Savings achieved: 40% or more of HVAC-related energy consumption.
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Testimonials
This solution is proven out. It will continue to produce significant energy savings, is scalable, and requires no maintenance or major retrofit.
Through Feedback Solutions’ system, the university is better positioned to justify its expansion – and to use the data to form future expansion strategies. Furthermore, the University is now beginning to use the data to identify variances in utilization that fluctuate each semester and are developing a more comprehensive, accurate understanding of actual space usage.
About Us
Driving Operational Efficiency with Green Innovation
We’re committed to tackling rising GHG levels and climate change by addressing the significant impact of non-residential buildings. These facilities account for 36% of global energy use and 39% of energy-related carbon dioxide emissions annually, according to the United Nations Environment Program.
By focusing on smarter, more efficient operations, we aim to reduce energy consumption and emissions while creating sustainable solutions for the future.


In many cases we’re running fans at an average of 40% speed, saving huge amounts of energy without impacting motor safety. We easily surpassed our original savings forecast.