Environmental, Carbon Emissions and Utilities Data Monitoring using one web-based application
CARBON COUNTER is designed to analyse and present clear and concise summary reports from the massive quantities of utilities and environmental data sent to the cloud by modern buildings in smart cities.

CARBON COUNTER is hardware and data format agnostic so all existing data sets can be imported into the Monitoring and Targeting Platform to produce insightful reports.
At Carbon Counter OÜ, we strive to offer our customers the best software as a service experience. We are dedicated to helping our clients reach their sustainability goals by providing them with powerful and reliable data tracking solutions. Our software allows users to track their environmental and energy data in near real-time and store it securely.
We also offer a wide range of services such as data analysis and reporting, as well as hardware and software integration. Furthermore, our team of experts is available to offer personalized advice and support. Also, if some of the required data sets are not available, CARBON COUNTER will advise on the cost-effective hardware solutions that will complete your data gathering projects.

Electric, gas and water revenue meters in commerical buildings send automated meter readings (AMR) to the utilities companies.
CARBON COUNTER can access these automated meter readings (AMR) to prepare the BLUESKIES web application lobby display.
A single pane of glass display for sharing the progress of your organisation’s Carbon Reduction Plan (CRP) for electricity, gas and water.
The AMR data is converted into a utility usage and CO2e emissions slide presentation designed for display in public spaces, a dynamic upgrade to static Energy Performance Certificates often displayed.
The BLUESKIES web application is powered by a Monitoring and Targeting (M&T) platform, designed for easy access to essential utilities management information and reports.


The Utilities Manager M&T database that feeds BLUESKIES web app with automated meter readings includes thousands of data sets