Data sets

Evaluate the feasibility of proposed constructions while simultaneously preserving areas of significant ecological value. Our project aims to facilitate responsible development practices that harmonize with the natural environment, ensuring a sustainable future.

With high vegetation penetration and precise data capture, we generate accurate digital models that offer valuable insights into terrain features and topography. This detailed understanding supports strategic decision-making for responsible and sustainable real estate development

Identify areas that need maintenance or repairs, designing new tracks or upgrading existing ones, and creating digital twins for track simulations.

Identify areas of improvement on the road through a road inventory using Lineworks. 

Understand surface geometry and pavement conditions, AI algorithms were used to identify the different categories of cracks and establish maintenance priorities.

 Estimate the CO2 emissions from the field to sell carbon credits/offsets in the market to compensate for their emissions.

The data obtained from this project was used for forestry management, including monitoring the growth of individual trees, identifying areas with different tree densities, and developing strategies for sustainable forest management.

Data analysis, generation of alerts in case of non-compliance, and presentation of reports with recommendations to correct deviations found.

Upgrade of the storm and sanitary drainage system to prevent flooding and improve its performance, including identification of areas for improvement, cleaning and maintenance.