Our mission is to help you build better computer vision models

Computer vision teams use Segments.ai to improve their data and models in an iterative approach.

We believe in an iterative approach

A well-curated dataset is more important than a fully-optimized model. Segments.ai helps you to curate your data better by leveraging your model predictions in an iterative approach.


For engineers

Turn predictions into training data, analyse model performance and find edge cases and failure cases in your data


For labeling teams

Leverage ML-powered labeling automation and model-assisted labeling for classification, detection and segmentation

Meet the leadership team

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


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.


Luc Van Gool


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.

Our locations

We’re a remote-first company with presence in the US and Belgium

San Francisco

Sand Hill Road – Suite 301
Palo Alto
CA 94304 United States


Professor Roger
Van Overstraetenplein 5
Leuven, 3000 Belgium

The computer vision platform to build better datasets iteratively

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