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YellowScan Tech Stack

LiDAR-based UAV mapping platform for surveying, mining, and environmental research

Aviation and Aerospace Component Manufacturing St-Clément-De-Rivière, Herault 51–200 employees Founded 2012 Privately Held

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YellowScan designs and manufactures integrated drone-based mapping systems with LiDAR and photogrammetry sensors for professional surveying, forestry, mining, and civil engineering. The tech stack (C++, Python, TensorFlow, PyTorch, Qt/QML, OpenGL) reveals a company balancing real-time sensor processing with desktop UI complexity—a profile consistent with hardware-software integration at scale. Hiring concentrated in engineering and manufacturing, with active work on industrializing point cloud algorithms, signals the transition from prototype to production-grade systems as the company scales globally.

Tech Stack 10 technologies

Core StackC++ Python TensorFlow PyTorch GitLab CI/CD Qt QML OpenGL OpenCL CGAL

What YellowScan Is Building

◆Challenges

Rapid global expansion
Industrialisation of point cloud processing algorithms
Software quality, security, performance improvement
Expanding global production
Scaling r&d capabilities

▲Active Projects

Industrialisation of point cloud processing algorithms
Modern ui development with qt/qml
Sensor calibration

Hiring Activity

Steady6 roles · 2 in 30d

Department

Engineering

2

Manufacturing

2

Research

1

Support

1

Seniority

Mid

3

Lead

2

Senior

1

Notable leadership hires: Research Lead

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About YellowScan

YellowScan manufactures fully integrated UAV platforms equipped with LiDAR and photogrammetry sensors for professional mapping applications. The product suite serves surveying, forestry, environmental research, mining, civil engineering, and corridor mapping across complex terrain (tropical forests, mountains, open-pit mines, power lines). Founded in 2012, the company operates with 13+ years of field deployment experience across multiple continents and climate zones. Based in France with a 51–200-person team, YellowScan combines hardware manufacturing with embedded software and point-cloud processing to deliver turnkey mapping solutions.

HeadquartersSt-Clément-De-Rivière, Herault

Company Size51–200 employees

Founded2012

Frequently Asked Questions

What technology does YellowScan use for point cloud processing?

YellowScan uses C++, Python, TensorFlow, and PyTorch for sensor data and machine learning pipelines. The company is actively industrializing point cloud processing algorithms as part of scaling production.

What is YellowScan working on?

Current priorities include industrializing point cloud processing algorithms, modernizing the UI with Qt and QML, and sensor calibration. The company is scaling R&D capabilities alongside global expansion.