This project proposes the development of an automated system for extracting data from tables of energy companies in order to calculate the intensity metric and evaluate companies in a standardized manner. The main objective is to provide an effective methodology for assessing energy efficiency and sustainability of energy companies, enabling homogeneous comparisons among them. In the initial phase of the project, the focus will be on extracting data from company tables. These tables may contain crucial information such as sales figures, emission values, and other relevant metrics. The system will employ advanced data extraction techniques, utilizing algorithms and machine learning models to accurately identify and extract the required data from diverse table formats and structures.