Labeling technology
for image segmentation

Our mission is to automate image labeling.

Advanced automation

Label images and videos in no time.

Label objects and regions with a few clicks, assisted by our state-of-the-art computer vision technology. AI-powered predictions kick in after labeling a first set of images. Contact us for advanced video annotation technology.


Tailored to you.

From automotive data to medical images, we've got you covered. Our technology quickly learns and adapts to your specific data.

Powerful management tools

Work together.

Collaborate with your team or onboard an external workforce. Our management tools make it easy to build large datasets together.

Active learning

Leverage your models.

Use your model's predictions to initialize the labels, building an active learning pipeline with humans-in-the-loop.

Easy integration

Integrate into existing processes.

You are not building your perception pipeline from scratch. Our API and Python SDK enable a deep and seamless integration of our labeling technology into your existing ML pipelines and workflows.

How we do it

To build powerful labeling technology, we bring state-of-the-art machine learning and computer vision research to industry.

Active learning

Few-shot learning

Data distillation

Generative modeling

Self-supervised learning

Uncertainty estimation

Compatible with your favorite tools

Meet the leadership team.

We have world-class experience in machine learning, computer vision, and business.


Otto Debals

Head of Business Development

Otto has international experience across various industries as management consultant with McKinsey. He holds a PhD in Signal Processing from KULeuven and is passionate about delivering business impact.


Bert De Brabandere

Head of Product

Bert obtained a PhD in Computer Vision at KULeuven. He interned at Google DeepMind and won the Qualcomm Innovation Fellowship. Bert is passionate about creating excellent products.


Davy Neven

Head of Engineering

Davy is finishing his PhD in Computer Vision at KULeuven and won multiple awards and technical challenges. He's passionate about everything concerning Artificial Intelligence and autonomous driving.


Luc Van Gool

Scientific Advisor

Luc Van Gool is full professor and head of the computer vision labs at ETH Zurich (Switzerland) and KU Leuven (Belgium). He is a world-renowned expert in the field and has authored over 500 papers. He also co-founded several spin-offs and startups.

Contact now.

Powerful labeling technology for image segmentation.

Try for free Request demo