Lead your market with a passionate team of data experts

Vision AI Data-intensive applications

Data & AI opportunities

Rail maintenance

Maintaining remote infrastructure is cumbersome but safety critical.

Discover how technology makes maintenance planning cost efficient.

Offshore infrastructure

Monitoring critical infrastructure & operations at sea is crucial because it costs a lot of effort to go on-site.

Discover how data and AI minimize risk and maximize safety and efficiency for offshore.

Smart machines

Self learning machines adapt to changing conditions. But they need to keep learning

Discover how data-driven Vision-A.I. requires a different development approach.

Recycling

Operators to work in a rough environment are hard to find and train.

Discover how video analysis creates a safe environment while increasing productivity.

Food processing

Food quality is more important than ever. But speed is too.

Discover how machine vision is used for inline quality control at high speed.

Process improvement

Process control starts with good insights in what really happens.

Discover how vision can yield insights to focus your improvement effort.

Behavior analytics

Massive data collection clashes with confidentiality and data transmission issues.

Discover how edge deployment is used to collect insights frictionless.

Our mission

To help our customers lead their market, by providing innovative, best-in-class software experts.

To make it a joy for all stakeholders to work with us.

Together, we remove technological barriers when building AI & data solutions.

Kapernikov helps Infrabel to detect vegetation overgrowth in lidar data

The overgrowth of plants and weeds on railway lines poses a safety problem. Not only can these plants obstruct the driver’s view, but they can also obscure certain signals, interfere with overhead contact lines and even hinder the movement of the train. Rail companies therefore need to manage vegetation efficiently and maintain the railway lines […]

CopernNet : Point Cloud Segmentation using ActiveSampling Transformers

In the dynamic field of railway maintenance, accurate data is critical. From ensuring the health of …

Kapernikov enables Umicore to increase plant capacity

Kapernikov helped Umicore to make its precious metal recycling processes more efficient. This enable …

Telraam: counting traffic with AI on affordable Edge devices

Systematically collecting traffic data can help city planners to find solutions for rat-run traffic, …

Reduce embedded systems development time using ROS

Need to create an automated machine that contains multiple sensors and motors to perform specific ta …

Best practices for model training and serving in machine learning – Part 2

In this article series on machine learning, we discuss best practises for training and debugging you …

Cloud independent solutions

Vendor lock-in can be a nasty beast. And cloud-computing didn’t exactly make it easier to avoid. By …

Book review: what we learned from The Data-Centric Revolution

This book will change your life. Or at least the way you think about data management and enterprise …

From experimentation to production: how MLOps helps to deliver high-quality machine learning applications

A successful machine learning deployment depends on a complex interaction between data, machine lear …

Best practices for model training and serving in machine learning – Part 1

In this article series on machine learning, we discuss best practises for training your data model.

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