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See Flai geospatial AI in action.

From instruction on how to use data labeling tools to real use cases.

Leverage AI for automated point cloud processing

Software as a Service for streamlining point cloud processing workflows The creation of an accurately classified point cloud usually...

Creating rasters from point clouds with Flai web app

Creating fully annotated point clouds is usually only the first step to producing a product that can be used and understood by a wider...

Using LiDAR point clouds in precision forestry applications

LiDAR proved to be a suitable technology for forestry applications as it can penetrate the canopy and accurately detect tree structure...

Scheduled maintenance - 29.12.2022

We wanted to let you know that Flai web application will be down for scheduled maintenance, starting on 29.12.2022 at 03:00 (CET) and...

Automatic point cloud classification with Flai web app

Annotating point clouds can be a time-consuming process. To help with the task, several macros and filters are available on the market,...

Automatic extraction of ground points of a rockface using Artificial Intelligence

In this project, the goal was to get ground points of a densely vegetated rockface to analyze the rock structure. This task could only be...

How to use annotations tools in Flai web application

Point cloud datasets produced by 3D laser scanning or photogrammetry gain a lot of value if they are accurately classified. While AI...

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