Database of CO2 emission
Leverage comprehensive datasets to track, analyze, and visualize environmental metrics. Our data solutions provide the clarity needed to meet sustainability goals and regulatory standards.
CO2 Emission Data Collection
Algorithm Development for Emission Estimation
Web-Based CO2 Calculators
Zero-Emission Strategy Support
Frequently Asked Questions
CO2 emission tracking is the process of estimating and analyzing the carbon footprint generated throughout the lifecycle of a construction, including design, manufacturing, construction, materials and operation. It helps identify emission hotspots and supports more sustainable decision-making.
Tracking emissions gives you a clear understanding of your environmental impact. It enables you to reduce carbon output, comply with sustainability standards, improve energy performance, and enhance the long-term value of your company.
We use industry-recognized methodologies, lifecycle assessment tools (LCA), material footprint analysis, and energy consumption data. We have a comprehensive database specifically for civil industry which covers both embodied carbon (materials, transport, construction) and operational carbon (energy use during the construction’s life) and can develop a custom software or calculator for your enterprise by means of the application of this database.
Lower emissions lead to reduced energy bills, improved efficiency, better compliance with green regulations, and a stronger sustainability profile which helps our environment and prevent global warming effect. Many investors and authorities now require low-carbon or net-zero industries, which increases the business value.
CO2 emission tracking is valuable across all sectors — including civil works, infrastructure development, design and construction projects, industrial facilities, and manufacturing processes. Any project involving materials, energy consumption, or large-scale operations can benefit from carbon insights, especially those aiming for sustainability compliance or improved operational efficiency.
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