
Nejc Dougan
CTO & Co-founder at Flai
Nejc works at the intersection of 3D computer vision and geospatial data, with more than 15 years in the domain: from photogrammetry and LiDAR production to deep learning research on large-scale point clouds. His research interest is semantic understanding of 3D scenes and how models hold up across sensors, domains and capture conditions. He co-founded Flai to put that research to work in production, and speaks regularly on where automated 3D perception is heading.
- 3D computer vision research
- Deep learning on large-scale point clouds
- Semantic understanding of 3D scenes
- Cross-sensor and cross-domain generalisation
- LiDAR and photogrammetry at production scale
- Distributed processing pipelines (DAGs)
- Cloud architecture on AWS
- Infrastructure as code
- Technical strategy and engineering leadership
14 posts by Nejc
- Sep 10, 2025
Flai in QGIS: open data and AI analysis one click away
QGIS is a leading open-source desktop GIS for Windows, macOS and Linux, used daily for cartography, spatial analysis, and 2D/3D data editing and publishing \[1\]. With its core…
- Jul 15, 2025
Automated Power Line Classification and Vectorization in Flai web app
In the rapidly evolving energy infrastructure landscape, power line management presents unique challenges for utilities and grid operators worldwide. The intricate network of…
- Apr 7, 2025
Point cloud classification with machine learning: A short guide
Have you ever wondered how self-driving cars "see" the world? Or how robots understand 3D spaces? One key technology behind this magic is called point cloud classification. It…
- Mar 17, 2025
Basics of point cloud processing with AI
Point clouds are essential in 3D modeling, robotics, autonomous driving, and many other fields. They represent spatial data as a collection of points in three-dimensional space,…
- Feb 3, 2025
Challenges and opportunities in point cloud data processing
Point cloud data, a collection of spatial data points representing the surface of objects or environments, has become a cornerstone in various fields like 3D mapping, autonomous…
- Dec 20, 2024
Automating LiDAR data workflows
LiDAR technology has transformed the way we map terrain and collect spatial data, becoming more accessible as hardware advances and costs fall. However, despite its growing…
- Aug 21, 2024
Mobile Mapping Classification Template: Leveraging AI for Automated Mobile Mapping Data Classification
The Mobile Mapping LiDAR Classification Template streamlines the process of classifying LiDAR datasets from mobile mapping, making it easier to analyze large volumes of data in…
- May 24, 2024
Batch Processing on Flai web app
Alongside the classical use of the Flai web application, Flai enables faster processing of point cloud data through Batch Processing.
- Mar 28, 2024
Elevating Precision: Introducing Point Cloud Quality Control Service
In the ever-evolving landscape of 3D mapping and analysis, the integrity and accuracy of point cloud data are paramount. Recognizing the critical need for precision, we're…
- Mar 19, 2024
Running Flai flows on your local machines
Among other deployment options, Flai supports running the automatic classification flows on your hardware, keeping all data private to your local environment. To run Flai flows…
- Feb 27, 2024
Classify point clouds through APIs
In this blog post, we will delve into how API integrations are transforming interactions with AI technologies in point cloud processing. We'll demonstrate how these integrations…
- May 26, 2023
Enhance Your Workflow with Flai's Processing Flow Templates
Flai's web application offers over 36 raster and point cloud flow processing nodes, providing a comprehensive set of tools for your data processing needs. To simplify the creation…
- Mar 15, 2023
Leverage AI for automated point cloud processing
The creation of an accurately classified point cloud usually requires tremendous input from manual annotation. At Flai we believe that all those repetitive procedures can be…
- Oct 27, 2022
Introducing Flai Web App: Automatic point cloud classification platform powered by AI
We are excited to announce the launch of our Flai Web App, a platform that automates point cloud classification using advanced AI models.