Data-driven approach for sustainability is a combination of multiple disciplines, including environmental engineering, software engineering, machine learning, predictive analytics, and more. Many sustainability challenges could greatly benefit from data- driven tools.
EnviroByte applies data-driven approaches and developed tools to increase efficiency and effectiveness of sustainability reporting, planning, monitoring and management, including Greenhouse Gas (GHG) emissions, Criteria Air Contaminants (CAC), etc. Data-driven approach for Sustainability is a combination of multiple disciplines, including environmental science, software engineering, artificial intelligence (AI), machine learning (ML), predictive analytics, and more. Many sustainability challenges could greatly benefit from data-driven tools.
Our solutions are implemented with modern software development practices, namely CI and CD, which is a combination of software development and environmental reporting (commonly referred to as DevOps in software world). CI and CD stand for continuous integration and continuous delivery/continuous deployment. The CI/CD processes tailor each environmental report with its unique requirements and are easy to scale and integrate with other requirements.
GHG Project
Life Cycle Assessment
Climate Change Adaptation
Big Data
We build the products that we want to use ourselves. This is why we design EmissionX with easy verification and assurance in mind by integrating data science tools (e.g. Jupyter Lab) with CI/CD processes, which offers the most flexibility, transparency, and customization.
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