Flai is an AI-powered platform designed to automate the classification of LiDAR point cloud data. By leveraging advanced machine learning models, Flai enables users to process large datasets efficiently, categorizing elements such as buildings, power lines, and vegetation into over 40 semantic classes.
This automation reduces manual effort and enhances the accuracy of geospatial analyses.
The platform offers flexibility through its deployment options, including a cloud-based web application and self-hosted solutions, catering to various organizational needs. Flai’s modular tools encompass over 40 processors for comprehensive point cloud manipulation, facilitating the generation of raster and vector deliverables.
Industries such as wide-area mapping, forestry, mobile mapping, power line inspection, and mining benefit from Flai’s capabilities.
