Flai is an Artificial Intelligence (AI) solution intended for automatic LiDAR point cloud classification. Its main goal is to automate the extraction of custom, user-driven products from Earth observation datasets.

The solution is presented as a web-based application that turns raw LiDAR point clouds into useful insights, using advanced AI models. Flai is versatile and can be used in wide area mapping, forestry, power lines management, mobile mapping, and mining industries.

It boasts features like fast and quality point cloud classification using AI models with various semantic classes. Additionally, it offers advanced data processing capabilities with over 40 processors designed for comprehensive point cloud processing manipulation, generating raster and vector deliverables.

Custom classifiers can also be trained to extract specific features from point cloud data. Flai provides flexible deployment options including cloud-based processing and self-hosted solution.

The platform supports a wide range of sensor types, making it a versatile tool for diverse surveying and mapping tasks.