BuildingIQ: The Path to Energy Efficiency in Real Estate

BuildingIQ stands out on the international stage as a company specializing in enhancing energy efficiency. Its primary mission is to assist real estate owners and managers in optimizing energy consumption, improving management efficiency, and enhancing conditions for tenants. This is achieved through the integration of various technologies into the company's platform and methodology. These include data analytics, modeling, optimization technologies, specialized applications, and a combination of human expertise with technology-supported management services.

Date: 28 December

Company Profile

BuildingIQ has developed Predictive Energy Optimization™ (PEO) software, which operates on cloud technologies and reduces energy consumption by 10–25% in normal operation. PEO was created in collaboration with the Australian Commonwealth Scientific and Industrial Research Organization (CSIRO). Advanced algorithms and machine learning methods implemented in MATLAB® continuously optimize the operation of HVAC (heating, ventilation, and air conditioning) systems, taking into account upcoming weather forecasts and energy costs.

Challenge and Solution

BuildingIQ faced the challenge of developing algorithms capable of processing gigabytes of information from various sources, including electricity meters, thermometers, and pressure sensors in HVAC systems, as well as weather data and energy costs.

BuildingIQ used MATLAB to accelerate the development and implementation of its energy consumption optimization algorithms. In MATLAB, company engineers import and visualize temperature, pressure, and energy consumption data for 3–12 months, containing billions of values. They use tools for anomaly detection and noise elimination caused by sensor malfunctions, and fit the mathematical model developed in MATLAB to the processed data. This measurement and verification (M&V) model correlates ambient temperature and humidity with energy consumption by the HVAC system.

During modeling, machine learning algorithms are used for data segmentation and determining the relative contribution of gas, electricity, steam, and solar energy to heating and cooling processes.

Every day, BuildingIQ calculates the baseline energy cost using the M&V model, showing how much the client would have paid for HVAC energy without the PEO platform. Savings range from 10% to 25%.

Attracting Investors 

BuildingIQ has intrigued investors with its advanced projects, attracting major players such as the venture division of Siemens Financial Services, Aster Capital supported by giants like Schneider Electric, Alstom, and Solvay, as well as Paladin Capital, Exto Partners, and the Energy Division of CSIRO. The investments of these organizations underscore the importance and innovative potential of BuildingIQ's developments in energy efficiency and real estate management. The contribution of these investors is not only financial but also strategic, demonstrating confidence in the long-term prospects and impact of the company's technologies on the future of urban development.

Energy Efficiency and Climate Improvement 

BuildingIQ systems not only reduce energy consumption but also contribute to creating a comfortable indoor microclimate. Their technologies allow reducing energy use by 25%, leading to significant carbon emission reductions and making the environment more ecological. This not only improves air quality but also reduces the load on power grids, increasing the overall energy efficiency of urban infrastructure. Thus, BuildingIQ makes an important contribution to combating climate change, making the urban environment more ecologically safe for living.


BuildingIQ has established itself at the forefront of energy efficiency, demonstrating how innovative technologies can radically change the approach to real estate management. The company offers not just solutions for reducing energy consumption but also actively contributes to improving the quality of life, making the urban environment more ecological and comfortable for living. This is achieved through the use of advanced management and monitoring systems that optimize the operation of all building systems, ensuring maximum comfort with minimal energy consumption.

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