"Flai is an innovative AI-driven solution designed for automated classification of LiDAR point clouds. Its primary objective is to simplify the extraction of tailored, user-specific products from Earth observation data. This web-based application efficiently transforms raw LiDAR point clouds into actionable insights using sophisticated AI algorithms. Flai's versatility allows it to cater to various industries, including wide area mapping, forestry management, power line oversight, mobile mapping, and mining operations. The platform features rapid and high-quality point cloud classification with the ability to differentiate among multiple semantic classes. Furthermore, it includes advanced data processing capabilities supported by over 40 processors, enabling thorough manipulation of point cloud data to produce both raster and vector outputs. Users can also create custom classifiers to extract specific features from point cloud information, enhancing its utility. Flai offers flexible deployment options, allowing for both cloud-based processing and self-hosted solutions. Compatible with a wide range of sensor types, Flai is an essential tool for diverse surveying and mapping applications, making it a go-to choice for professionals in the field."