Flai is an AI-powered web platform for fast, accurate classification of LiDAR point clouds. It helps turn raw, unstructured Earth observation data into clear, ready-to-use geospatial outputs.
Automatic point cloud classification
Flai applies trained AI models to classify large LiDAR datasets in minutes, reducing the need for manual labeling.
- Pretrained models with dozens of semantic classes
- Detailed object-level labeling for terrain and built environments
- Designed for high-volume point cloud workflows
Deep processing and scalability
Built as a modular toolset, Flai includes many processors for end-to-end point cloud preparation and analysis.
- Data preparation, filtering, and normalization
- Supports teams working with large geodata and repeatable pipelines
- Useful for infrastructure projects, mapping, and area monitoring
From data to decisions
By automating key LiDAR processing steps, Flai shortens the path from data capture to practical results for land use, construction, planning, and environmental analysis.
