Kapernikov

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Machine vision Cloud architecture Data engineering
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Machine vision

Give your machine or production process dedicated and always vigilant artificial operators in the form of image sensors and artificial intelligence. Let us support your operators to achieve superhuman powers to increase uptime, stabilize production and measure quality.

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Cloud architecture

Want to build innovative, data-driven products or services for industrial applications? Kapernikov helps you select and build the platforms and hybrid-cloud architectures you need to develop and scale your software solution effectively.

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Data engineering

Real-time data collected from your technical installations can guide your operations towards increased efficiency and productivity. We help you to gain insight into your operations fast, and to grab the opportunities for data-driven improvement with the most effective outcome.

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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.

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Read our latest articles

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.

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 …

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 seem …

A comparison of stream processing frameworks

What stream processing framework will enable you to get instant insight into data as it flows? We co …

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