Ready to join the team?
Currently, we have different open vacancies.
But whether or not we are actively hiring, our door is always open for any passionate data specialist, computer vision wizard or otherwise talented (software or other) engineer. Of course you don’t need a barrel of experience to get started at Kapernikov. We also love to welcome and train people with fresh, illuminating insights. If you are addicted to data, AI and machine vision, then you’re in for a treat with us, now and forever.
So, if you feel like you are an exceptional fit for us even though your profile is not listed below:
- If you want to join Belgium’s finest in the fields of Machine Vision, Cloud Architecture and Data Engineering
- If you want to test your talents in the real world on a great portfolio of industrial customers
- If you want to learn new things constantly
- And if you are ready to join a self steering team that promotes sustainability and green mobility
then we’d love to hear from you!
Open vacancies & internships
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Kapernikov joins the flink community
Apache Flink is a powerful and easy to use open source system for data stream processing with a very active developer and user community, one of the most active big data projects in the Apache Software Foundation. Flink’s core is a streaming dataflow engine that provide …Read more -
AI on the Edge: why you (don’t) need to run your machine vision project in the cloud
Machine vision systems use large amounts of data that need to be stored and analyzed to make a decision. To do this effectively, businesses often turn to the cloud. But the cloud is not always the best option. Especially for critical inspection processes, an AI on the edge approach is much more sui …Read more -
Interview with Zowi: AI for Marine Survey Data at GEOxyz
“We help GEOxyz survey the seabed efficiently by automating the detection of boulders.” — Zowi Valvekens, AI Engineer How can AI transform marine survey data processing? We ask …Read more -
Supporting drone inspections from a to z
To ensure the effective operation of an organization’s assets, asset managers need to plan regular inspections of their equipment. Drone inspections have big advantages over traditional, time-consuming inspection methods, where workers need to physically access dangerous environments and wher …Read more -
Interview with Frank Dekervel: Agentic AI, Applied
“Agentic AI turns the knowledge worker from an executor into a process manager — of the process they used to execute themselves.” — Frank Dekervel, Partner & CTO Agentic AI can drama …Read more -
Local kubernetes development
Developing cloud-native applications for Kubernetes gives you portability & scalability. But how do you get those pods to run on your laptop during development? We’ll explain your options in this tutorial.Read more -
How we keep track of our data experiments
Experimentation is an essential part of machine learning. But how can you keep track of which model was trained on which dataset? At Kapernikov, we like to use Data Version Control (DVC), a dedicated tool for keeping track of data experiments.Read more -
Drone work is teamwork
Even students with a heart for hardware want to look at things from a different angle from time to time. That’s why electronics engineering student Youri Vassiliev recently took on an internship at Kapernikov. During his assignment, Youri got the opportunity to play with drones, Linux, C++11, …Read more -
First responders rely on high-quality railway data, from Ostend to Liège
When confronted with rail incidents, emergency responders need to be as fast and efficient as they can be. Especially in the case of bigger incidents, it is critical for first responders to achieve total situational awareness at a glance. They need to know what the environment of the incident l …Read more -
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 information systems. Here’s our review of the book ‘The Data-Centric Revolution’.Read more -
Future-proof your AI investment
Take advantage of new AI hardware & software without having to redevelop your machine learning model every three months.Read more -
Reduce embedded systems development time using ROS
Need to create an automated machine that contains multiple sensors and motors to perform specific tasks (Aka ‘a robot’)? ROS offers a solid foundation for message brokering and plugins for a lot of hardware and functionalities.Read more -
Fewer tests, better tests, more bugs caught
On every agent-assisted project, the team reviews the business logic carefully: design, abstractions, module boundaries. The tests barely get a look. Every feature developed by Claude arrives with a dozen sensible-looking unit tests. We test by han …Read more -
Deep learning sees whether people wear their safety helmets
Deep learning might seem like a complex, abstract concept, but it has helped Kapernikov to solve very concrete challenges. The Kapernikov team recently developed a Proof of Concept (PoC), based on deep learning techniques, that enables to see whether people wear their safety helmets at work in …Read more -
5 first steps to implement continuous integration into your workflow
We may have convinced you earlier of the benefits of continuous integration (CI). But implementing this methodology into your business and workflows is another story. Where do you start? Right here.Read more -
A comparison of data processing frameworks
Data processing can be challenging, as sometimes it requires different execution environments and playing with different types of data. Orchestrating this data processing can be complex due to dependencies. Services, like streaming of data or predictive models in Machine Learning, are now also …Read more -
Want to use AI on your problem, but struggling to get a good dataset? Part 1.
Want to use AI on your problem, but struggling to get a good dataset? This series covers how to tackle that.Read more -
Writing a high quality data pipeline for master data with apache spark – Part 1
At Kapernikov, we frequently work with master data. In this context, “working” means cleansing, analyzing, migrating and integrating. In order to do this, we frequently need to set up transformation and ML pipelines. In other words: ETL. In the past years, we have been working with a mul …Read more -
How to run a succesful data collection campaign
Kapernikov has been running a data collection campaign for Infrabel, Belgium’s railway network operator, for more than three years. And a new data collection campaign is in the pipeline. This has allowed the company to build up a lot of data collection expertise. “The Infrabel data colle …Read more -
Want to use AI on your problem, but struggling to get a good dataset? Part 2.
In article 2 of this series on how to get a good dataset for your machine learning project, we give you the best practices to get the most out of your data.Read more -
Which machine learning algorithm does your computer vision project need?
The recent advances in machine learning have given computer vision algorithms the ability to perform tasks with ever increasing speed and accuracy. But with a growing number of machine learning techniques, it can be hard to figure out which algorithm will deliver the best results. Will you go for a …Read more -
Kapernikov’s user-friendly reporting tool wins Asset Performance 4.0 hackathon
Leading up to the Asset Performance 4.0 conference, BEMAS organized three different hackathons about recent topics in maintenance. Kapernikov joined one of the hackathons dedicated to Fluvius. The Belgian energy company was looking for a low-cost and easy-to-use tool that makes it possible t …Read more -
Why Kapernikov loves DevOps (and why you should too)
Shorter development cycles, faster & more reliable delivery? Discover why Kapernikov loves to work the DevOps way, and why you should too.Read more -
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 learning model and code. MLOps is a good way to streamline this interaction. Let’s dive into some of the specifics of this methodology. #MLOps #machinelearningRead more -
Three reasons why you shouldn’t rush blindly into deep learning
If you have a hammer, everything starts to look like a nail. Now that we have deep learning, it seems that every problem needs to be solved with it. Nothing could be further from the truth. Here are 3 reasons why you shouldn’t rush into deep learning right away.Read more -
Writing a high-quality data pipeline for master data with apache spark – Part 2
In a previous article we introduced a number of best practices for building data pipelines, without tying them to a specific technology. Let’s see how this applies to several different technologies. Python based pipelines When building pipelines in Python (using Pandas, Dask, PySpark, …Read more -
Writing a high quality data pipeline for master data with apache spark – Part 3
In a previous article, we explored a number of best practices for building a data pipeline. We then followed up with an article detailing which technologies and/or frameworks can help us adhere to these principles. We now continue with a last article in this series, in which we will show how yo …Read more -
Telraam: counting traffic with AI on affordable Edge devices
Systematically collecting traffic data can help city planners to find solutions for rat-run traffic, air pollution, traffic safety issues, and more. Together with traffic sensor specialist Telraam, Kapernikov is now helping cities to count traffic more efficiently with the help of their citizens.Read more -
Visualizing railway vegetation detection
It has been some time since we finished the vegetation detection algorithm for Infrabel. The algorithm has proven its reliability so far, in that it detects both the presence and the height of the vegetation in an accurate way. However, using the results of the algorithm to actually improve vegetat …Read more -
Co-development / co-creation @ Kapernikov
At Kapernikov, we are running many projects in a mixed setting: we work in teams consisting of our customers’ employees, Kapernikov colleagues and, occasionally, even other subcontractors. We have completed quite a few projects this way over the years. With all this experience under our belt, it is …Read more -
The DevOps 8
Eat – sleep – rave – repeat? Although DevOps also relies on a continuously repeating process, the steps do slightly differ! We explain them for human beings.Read more -
Traditional machine learning algorithms for machine vision
Today, traditional machine learning algorithms are significantly overshadowed by deep learning. However, they are still well suited for many applications independently or as a support in complex pipelines. Traditional machine learning is able to perform two tasks: regression and classification. …Read more -
Energy network campaign
Kapernikov assists Infrabel’s internal electrical grid operator in building an accurate and consistent overview of its cable assets and a topology of its networks. The end result is a high-quality electrical model of the infrastructure. In 2019, Kapernikov planned, implemented and managed …Read more -
CopernNet : Point Cloud Segmentation using ActiveSampling Transformers
In the dynamic field of railway maintenance, accurate data is critical. From ensuring the health of vegetation surrounding the tracks to maintaining the integrity of rails and poles, precise 3D data is invaluable. That’s where CopernNet comes in—a cutting-edge tool designed to transform how we han …Read more -
High framerate deep learning at a low cost? Yes we can!
Real-time deep learning at a low cost. Impossible? High frame rates require expensive hardware? Learn how we got a $15 #Kendryte #K210 to run #YOLOv3 at a whopping 30 frames per second.Read more -
Kapernikov enables Umicore to increase plant capacity
Kapernikov helped Umicore to make its precious metal recycling processes more efficient. This enabled the organization to increase its plant capacity and at the same time improve the safety of its workforce.Read more -
What is continuous integration and why is it important for your business?
What is continuous integration? Continuous integration is the whole process where every software modification is thoroughly and automatically checked against your predefined, minimal quality standards. Modifications that adhere to these standards are ready to be integrated – ideally automati …Read more -
Complex data migrations done well
When organizations migrate to a new software application, usually a lot of attention goes to system selection and configuration. What typically generates less enthusiasm is making sure that the data that needs to populate the new system is fit for purpose. And yet, data migrations are critical for b …Read more -
Kapernikov uses open data kit to seamlessly collect railway equipment data
Kapernikov has built up a considerable track record when it comes to data collection. But despite the company’s vast expertise, every data collection project is unique and requires a dedicated approach. For the collection of railway equipment data, Kapernikov went by the four-eyes principle, …Read more -
Why simulation makes perfect sense in machine vision projects.
Ever wondered how the Mars Lander was tested? Indeed, the lack of a real-life testing environment is a typical problem of space missions, but we see it in many other industrial settings as well. If you need an environment that allows you to design and test the complete vision system before depl …Read more -
Cloud independent solutions
Vendor lock-in can be a nasty beast. And cloud-computing didn’t exactly make it easier to avoid. By asking the right questions, you can avoid import pitfalls and make a better trade-off.Read more -
Increasing asset intimacy
Why? Data-driven insights don’t come for free. Even though new AI-inspired technologies (data science, data analytics, machine learning) hold big promises, they don’t provide any real insights if there is no reliable data to start with. To get the maximum value out of your assets, it is crit …Read more -
What is machine vision?
How does machine vision work? A camera collects the visual information, like the eye does.That collected camera image is processed for further use.A computer algorithm then analyzes the image, in a similar way to how the brain works.Finally, the extracted information is displayed to the end …Read more -
Cable Detection in Lidar Data
The catenary and contact wires are an essential component of the railway system, since they bring electric power to the trains through the pantographs. These cables usually consist of conductive materials such as aluminum or copper. However, even though metallic cables are ideal for the electrificat …Read more -
Ipywidgets with matplotlib
A simple use case could be adding some basic controls to a plot for interactive data exploration. On the other side of the spectrum, we can combine widgets together to build full-fledged graphical user interfaces. Here, we first introduce the interact function, which is a convenient way to q …Read more -
How to use DVC to experiment with data and annotated datasets
DVC can already be useful even in the exploration phase: while you are trying out different models, you are probably also building a good training and validation dataset. You want to make this dataset available for all your quick & dirty experiments. Putting the dataset in the same rep …Read more -
Synapse vs Snowflake
We wanted to compare the price/performance ratio of two of the leading data warehouse solutions in the Azure cloud scene: Microsofts own, Azure Synapse Analytics (a rebranded Azure SQL DW aiming to integrate many data analytics products into one platform), and Snowflake. Luckily, there exist alread …Read more -
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.Read more -
RINF 2026: What Railway Infrastructure Managers Need to Know
Visit our dedicated RINF roadmap site: roadmap2rinf.eu The European railway infrastructure register is getting a major update. Here’s what’s changing and how to prepare. The March 2026 deadline for RINF compliance is approaching, and it brings significant changes to what Infrastructu …Read more -
3 machine vision technologies you should know about
Machine vision systems do not always use standard cameras to inspect objects or to automate perception tasks. Did you already know these non-conventional machine vision technologies?Read more -
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 your neural networks.Read more -
A comparison of stream processing frameworks
What stream processing framework will enable you to get instant insight into data as it flows? We compared a few common ones.Read more -
Digital transformation is people business
How do people deal with new technologies? What is the employees’ perspective on company changes? And how can management make sure that new processes are fully adopted by the workforce? Those are the typical questions that Sophie Vincken is dealing with on a daily basis. In contrast to most …Read more -
Interview with Stef: LiDAR innovations at Infrabel
“It’s rewarding to start with a raw point cloud and extract actionable information that helps prevent train delays.” — Stef, Project Manager & Engineer We sat down with Stef t …Read more -
How to make preventive maintenance work when you lack failure data
Manufacturing and utilities companies today usually have no shortage of data. Thanks to the proliferation of sensors and the internet of things, there is an almost unstoppable flood of readings. What remains challenging, though, is to turn data into useful information that can fuel decisions. I …Read more -
3 ways to improve your AI machine vision results
Machine vision is booming, but does it fulfill your needs? Want to improve the performance of your AI-driven machine vision system? Here are three ways to influence and improve your results.Read more -
A comparison of image annotation tools
Deep learning relies on great training data. We took the time to put several annotation tools to the test.Read more -
DevOps & data protection: how to work agile with sensitive data
We’ve said it before: we absolutely love DevOps. For Kapernikov, it’s a way to achieve quicker results, to deploy changes to a production environment much smoother, and to enable continuous delivery based on customer feedback. The beauty of DevOps is that its principles apply to any kind of p …Read more -
Join the Kapernikov team as a data administrator
We’re on to something special here at Kapernikov. A fantastic team of data specialists who are all excited about technology, innovation and engineeringHappy customers all over Belgium who rely on our data management skillsA super-fascinating and promising business called data managemen …Read more -
ETL & data cleaning consultant wanted
When it comes to managing databases, we are a tower of strength. We deploy data cleansing campaigns in order to bring the corporate databases up to date again. We help our clients build new applications by providing them with high-quality data. We organize master data management, and we manage …Read more -
Practical workshop asset data integrity, data profiling & self service BI.
Join us in this workshop Gaining insights in the presence of data quality issues Enterprise data used in asset management commonly comprises data from different sources. Factors such as variations in quality and definitions can hinder analysis and lead to suboptimal conclusions. In this p …Read more -
Kapernikov puts AI to the test at the first ArcelorMittal Belgium hackathon
The challenge for Kapernikov was to see whether its AI algorithms could do better than a human operator in predicting when a weld would break. This welding process is an important step in the so-called cold rolling process, which uses a high-precision mill to reduce the thickness of steel to cu …Read more -
Kapernikov steels itself for the first ArcelorMittal hackathon
“This hackathon is a great way to challenge ourselves as a team,” says Rein Lemmens, partner at Kapernikov. “Data management and artificial intelligence in industrial settings are fields of expertise that fit our company like a glove, so we are looking forward to put our skills to the tes …Read more -
Knowledge is power – Kapernikov invests in training on electricity grids
“Kapernikov takes the training of its employees very seriously,” says Hans Nickisch, data management specialist at Kapernikov. “Even if the training content is not directly applicable in your job today, it is very important to stay up to date with industry trends, not only for the benefit …Read more -
Customized computer vision & machine learning
From automated quality inspection tasks to robots working together with people, Kapernikov can develop the algorithms and build a proof-of-concept. Computer vision helps machines to detect objects in an image, estimate their position and handle them with care, all capabilities that are evident to hu …Read more -
Kapernikov uses the power of whiteboarding
Whiteboards can be used to write or sketch on during meeting discussions or even when you’re alone trying to structure your thoughts. Since whiteboarding relies on a visual way of thinking, it has the advantage that it makes our thoughts more appealing and easier to absorb. Whiteboard fans …Read more -
Kapernikov tackles point cloud processing in mini-hackathon
In a spirit of continuous improvement and knowledge sharing, Kapernikov recently organized another successful mini-hackathon event. This time, the Kapernikov team and a few colleagues from other companies came together in Aalst for the purpose of building upon recent work that was done for Infrabel.Read more -
Kapernikov 2.0.18
On this team day, next to a reception and a photo shoot for our new website, we organized an Italian cooking workshop. During the preparation of two pasta dishes, our consultants got to know each other in a different way. The cozy and delicious dinner afterwards was an ideal way of catching up. …Read more -
Tutorial: image classification with scikit-learn
For ease of reading, we will place imports where they are first used, instead of collecting them at the start of the notebook. This to prevent having to scroll up and down to check how an import is exactly done. Throughout the tutorial we will need arrays for our data and graphs for visualis …Read more -
Computer vision for flexible plant logistics
Robot-human interaction Lean manufacturing requires efficient collaboration between robots and humans. The flow of goods in a production process may look stable and fixed on paper. However, in reality, changes in planning and human interventions are a practical challenge for automated co- …Read more -
Normal computation using the GPU
Most frameworks for processing point clouds, like the Point Cloud Library (PCL), provide very convenient functionality for this computation. However, once we start scaling our point cloud, this step often becomes a performance bottleneck. As a regular developer, we seize this opportunity t …Read more -
Multi-label classification with Keras
The test set contains only a few images, but includes a black dress (there were no black dresses in the training set), which was classified as a black jeans. Adrian’s explanation for this is: “If your network is trained on examples of both (1) black pants and (2) red shirts and now you w …Read more -
Come learn from us at euromaintenance 4.0
Euromaintenance is Europe’s most important conference focusing on the 4th industrial revolution, IoT and predictive analytics for maintenance and condition monitoring. Euromaintenance 4.0 offers a comprehensive agenda of learning opportunities for CTO’s, asset managers, maintenance & re …Read more -
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 …Read more -
Free training: introduction to C++
Sign up for the course Why C++? It’s not that we don’t love Python. It’s still our weapon of choice for data analytics, visualization and prototyping. I wish my children were as intuitive to instruct as Python is today. But sometimes, you need a language that compiles to lightnin …Read more -
Kapernikov wins the 2018 ArcelorMittal Challenge in vision AI
“We are thrilled to have won this competition,” says Maarten De Munck, partner at Kapernikov. “The hackathon was an ideal way to work with innovative technologies that are completely in our field of expertise, most notably AI and computer vision.” Safety assistant of the fu …Read more -
We are ready for euromaintenance 4.0. Are you?
Presentation: Supporting strategic decisions with data mining for Belgian Transmission System Operator Elia Time: Monday 24 September 2018 at 9 amHost: Julien Deuse (Kapernikov) Kapernikov used data visualization and data mining techniques to get a full overview of Elia’s complete netwo …Read more -
Kapernikov and euromaintenance 4.0: a match made in heaven
Four conference days, four presentations and multiple new contacts: the Kapernikov team is looking back at a very successful Euromaintenance 4.0 event. Not only was this a good opportunity to meet new people and new companies, but we also managed to strengthen the ties with our well-known custo …Read more -
Object localization with a single camera and object dimensions
This tutorial shows how to do object localization in an image for an object of known dimensions. We will be using Python 3 with SciPy and OpenCV 3.1 on an Ubuntu 16.04 desktop system.Read more -
Where employees come first
Kapernikov encourages all staff members to achieve their full potential Depending on individual needs and available project opportunities, Kapernikov strives to facilitate the professional development of its employees and dedicates significant investment to training programmes. This approach …Read more -
Using Luigi to power a reporting pipeline
Luigi is an open source framework that has been designed to help you build, monitor and troubleshoot your data transformation pipeline. From running SQL queries, dumping results into a database, storing intermediate results and more, luigi can manage thousands of jobs spanning several weeks. It …Read more -
Our new legion of talents is here
For some of our talents, there seems to be a straight path from school to Kapernikov. For others, coming to Kapernikov is a result of life’s twists and turns. What’s your story? Nick De Smet: I have been hired as a freelance data analyst for a data transition project at Atrias. I st …Read more -
Basic Introduction to computer vision
Computer Vision is the subfield of artificial intelligence which tries to imitate the human vision capabilities. And by “human vision”, we do not merely mean the eyes or the ability to see images – it is not as trivial as simply taking a picture with your phone. The purpose is not to imitat …Read more -
Improving asset management of the Belgian electrical grid with a data-driven approach
Kapernikov helped Elia to obtain an accurate overview of the condition of all its network equipment and to anticipate any risk of failure. As data consultants, we applied several database analysis techniques to support the company with its asset management strategy. Collect and consolidate d …Read more -
Edge computing for industrial sensors and control systems
During a six-week internship, Kapernikov asked Arne Vlietinck to investigate whether Azure IoT Edge could be used to deploy, configure and monitor industrial sensors and control systems.Read more -
The Ros Robot_localization package
The robot_localization package is a collection of non-linear state estimators for robots moving in 3D (or 2D) space. (package summary – documentation) Each of the state estimators can fuse an arbitrary number of sensors (IMUs, odometers, indoor localization systems, GPS receivers…) to track the …Read more -
Visual Odometry with the zed stereo camera
This tutorial briefly describes the ZED Stereo Camera and the concept of Visual Odometry. It also provides a step-by-step guide for installing all required dependencies to get the camera and visual odometry up and running. Lastly, it offers a glimpse of 3D Mapping using the RTAB-Map visual SLAM algo …Read more -
Debunking the myths about deep learning
Deep learning: breakthrough or bubble? Flemish engineering community ie-net recently organized an event around that topic. More specifically, ie-net’s expert group on industrial vision and robotics invited several speakers to have a talk about the theme ‘Deep learning: breakthrough or bu …Read more -
Where consultants thrive
Just like many other IT consulting companies, Kapernikov offers consultants the opportunity to work for various interesting customers. However, we like to think that working at Kapernikov is a little different, in at least three ways. 1. You are part of a team. Workin …Read more -
The art of making data work
IT projects have traditionally been a matter of delivering value through functionality. IT has always been about tools that allow people to work more efficiently or that provide better customer experiences. Databases, servers, infrastructure, backups and migration are just some of the typical e …Read more -
Ubuntu on XPS15-9570
This manual will walk you through the installation of Ubuntu with a working CUDA setup on a Dell XPS15. We start from a Dell shipped with Windows and we use a Dual boot system.Read more -
Gödel’s incompleteness theorem
Large organizations often use different versions of the same master data. This is not always due to a wrong way of working, but rather the result of different use cases. This practice is supported by something that has long been accepted in mathematics, namely that it is impossible to prove all …Read more -
Consultants in quarantine
With tools like Git, Slack and Trello, we collaborate on code, share nice geek finds, discuss and organize without effort. Therefore, I expected the transition to the current lockdown would be relatively seamless. In many ways, this was true: we all adapted to the current conditions. We rai …Read more -
Making your asset insights visual: Asset Performance hackathons finished & submitted
The final touches For the Fluvius case, we added a small Flask application to view filled in surveys as a report. For the Aquafin case, we took the opportunity to try some different analyses. Fluvius For surveying, we got the whole pipeline down in a live demo. We set up a ODK-Cent …Read more -
Asset management digitalization challenge accepted
The first challenge, presented by Aquafin, is a case on the detection of failures in pump stations. Being specialists in data science and asset management, this is exactly our cup of tea. The second challenge is a case presented by Fluvius on a reporting tool for in-the-field survey taking. …Read more -
Kapernikov finds a new home base in Brussels
When entering the Pepibru business center in the heart of Brussels, the contrast between the old industrial building and the hip crowd of start-up companies and creative agencies immediately strikes you. It’s in this inspiring environment that the Kapernikov team has cast its anchor for the c …Read more -
Improving asset data reliability one (or two) challenge(s) at a time
After getting a feeling for the Aquafin pump station data, we took a step back. Of course it is always fun to play with data and see what is in there, but knowing what to look for tends to make things a tad more efficient. The challenge is to detect pump failure, so the question we need to ask …Read more -
Kapernikov’s data governance team is growing
Infrabel maintains and modernizes the rail network and controls the trains from its signal cabins. In order to plan and organize its everyday work, Infrabel needs reliable data about all of its assets, including its railway lines, catenaries, switches, signals and crossings. Kapernikov has been …Read more -
The future is teal
Growing pains Kapernikov is growing fast – in every possible way. We had an awesome 2018, and by the looks of it, 2019 will be no less exciting. Our growth is not limited to numbers, by the way. It is more than the number of projects we are running, or how many new faces we are welcoming. …Read more -
Establishing the digital railway
Level crossing equipment, signalling, track circuits, switches, incident reporting and much more. All this information is needed to efficiently manage maintenance processes and to monitor the condition of Belgium’s railway network. An Enterprise Resource Planning (ERP) system is typically …Read more
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Internships
We are open for internships in the field of Data Engineering and Machine Vision. A variety of projects can be worked out, in line with your interests and ambitions. Below are examples of what is possible.