Skyeer develops a web platform for geospatial data analytics using drone technology and airborne laser scanning to provide precise 3D models of construction sites, quarries, and landfills. The platform enables remote monitoring and data analysis, enhancing project oversight and operational efficiency in the construction and mining industries.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Monitoring construction sites, quarries, and landfills traditionally involves manual surveying, which is time-consuming, costly, and can expose personnel to hazardous conditions. Analyzing the collected data and comparing it with design documentation is also a slow process, hindering project oversight and efficient decision-making.
Solution
Skyeer offers a web platform for geospatial data analytics, leveraging drone technology and airborne laser scanning to create precise 3D models of industrial sites. The platform enables remote monitoring of construction progress, stockpile volumes in quarries, and fill levels in landfills. By comparing the 3D models with project documentation in 2D/3D formats, Skyeer facilitates comprehensive data analysis, enhancing project oversight and operational efficiency. The Drone as a Service (DaaS) model provides professional data capture, processing, and analysis tailored to specific business needs.
Target Audience
Skyeer's primary customers include construction companies, mining operators, landfill managers, and other industrial organizations that require accurate and up-to-date geospatial data for site monitoring and analysis.
Features
- Web-based platform for visualizing and analyzing geospatial data captured by drones.
- 3D model generation using aerial photography and LiDAR data.
- Comparison of current site conditions with project plans in 2D and 3D.
- Volume calculation for stockpiles and landfills.
- Remote monitoring of construction progress.
- AI-powered analytics for automated data interpretation.
- Integration with existing GIS systems.