Redefining the way of screening and validating buildings’ energy performance

We utilise state-of-the-art data-driven techniques to make sustainable and evidence-based decisions on energy upgrades for your building portfolio.

About Us

We are a DTU startup consisting of data scientists, researchers, and engineers. We do large scale energy screenings of buildings and turn data into insight to pave the road towards a green energy transition. Sustainable decision-making and documentation of your buildings’ energy efficiency—made efficiently.

The Process

Reveal your
building
portfolio’s sustainability potential

Identify | 01

We help you to identify the potential use of your existing energy data. If it is an analysis of your existing buildings’ energy saving potential, documentation of your energy upgrades or anything in-between, we can provide you with a tailored digital solution that fits your needs.

Analyse | 03

With our selection of AI and machine learning techniques, we crunch the data and extract information on your building portfolio’s energy performance, renovation potential and energy flexibility. And as your buildings are upgraded our models will re-estimate the actual performance.

Decide | 05

From here you can find the most feasible strategies for reducing your building portfolio’s energy consumption and carbon footprint. The hard work of identifying the problematic buildings is done—and if things change down the road our algorithms will catch it and notify you.


02 | Collect

We know that collecting, structuring, and cleaning of data is time consuming and can be a hassle. Based on your solution we take the needed steps and make a prober fundation for our data analysis tools. If your solution needs additional data, we take care of that as well.

04 | Visualise

After your building portefolio’s energy consumption has been analyse by Exray’s algorithms, the results are presented in an appealing interactive graphical interface where you can explore and familiarise yourself with your building portfolios hidden sides of its energy consumption.

The Process

Reveal your
building
portfolio’s sustainability potential

01 | Identify

We help you to identify the potential use of your existing energy data. If it is an analysis of your existing buildings’ energy saving potential, documentation of your energy upgrades or anything in-between, we can provide you with a tailored digital solution that fits your needs.

02 | Collect

We know that collecting, structuring, and cleaning of data is time consuming and can be a hassle. Based on your solution we take the needed steps and make a prober fundation for our data analysis tools. If your solution needs additional data, we take care of that as well.

03 | Analyse

With our selection of AI and machine learning techniques, we crunch the data and extract information on your building portfolio’s energy performance, renovation potential and energy flexibility. And as your buildings are upgraded our models will re-estimate the actual performance.

04 | Visualise

After your building portefolio’s energy consumption has been analyse by Exray’s algorithms, the results are presented in an appealing interactive graphical interface where you can explore and familiarise yourself with your building portfolios hidden sides of its energy consumption.

05 | Decide

From here you can find the most feasible strategies for reducing your building portfolio’s energy consumption and carbon footprint. The hard work of identifying the problematic buildings is done—and if things change down the road our algorithms will catch it and notify you.

The Origin

Exray did not emerge out of thin air. The founding partners of Exray have extensive experiences from several research projects and collaborations concerning the green transition across the entire building and energy supply sector. To mention a few: REBUS (Renovating Buildings Sustainably), CITIES (Centre for IT-Intelligent Energy Systems), SCA+ (Smart Cities Accelerator+), and IEA-EBC (The International Energy Agency’s Energy in Buildings and Communities Programme).