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Bold Awards

Nantum OS

Nantum uses AI to buildings’ operational performance, save energy & reduce carbon emissions without sacrificing comfort, enabling buildings to hit ESG goals.
B - OS _ Cloud BMS (4k)

To reach a sustainable future, decarbonization cannot be a marketing buzzword but needs to be a foundational element of all operations and policies. Today, the built environment is reponsible for about 40% of all carbon emissions. By simply using what information is already available and using it to optmize the performance of BMS, HVAC, BAS, and more systems based on weather, occupancy, and other variables, buildings can lead the way to a sustainable and healthy future.


There are many decarbonization solutions for sustainability commercially available today but Nantum OS has proven the best results and biggest impact is made possible through using past and present data to create actionable insights. Powered by AI and machine learning, Nantum consolidates multiple sources of data into a solitary dashboard but goes beyond that with prescriptive recommendations that can be either automated or chosen by building operators and owners.

 

Nantum OS grew from the basement of one real estate management building to now powering over 35 million square feet of real estate. Currently, Nantum’s AI-driven ECMs (energy conservation measures) reduce energy demand and carbon emissions by 15-23%, saving owners $0.20-0.55 per square foot annually. For example, if you have 10 million sqft of real estate, Nantum’s ECMs save around $5 million in energy bills and 6,850 metric tons of carbon emissions each year. This is the equivalent of taking 1,600 gasoline-powered cars off the road every year.

 

Nantum’s AI-based solutions rewire buildings to act on real-time data to empower optimal energy decisions, achieving a 92% reduction of Scope 1 and 2 emissions by 2040 in our model. Developed by and for building owners and operators, Nantum’s novel AI control system has proven 30% reduction in carbon emissions and 20% reduction in peak carbon levels by 2026.

    Projects evaluation criteria

    Level of Impact
    40%
    Scalability
    30%
    Transparency
    20%
    H-Factor
    10%

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