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Integrated solution for industrial machine learning

perClass is a software tool that enables R&D specialists to develop classification solutions.

With a Matlab-based perClass Toolbox, you can understand your problem, interactively work with data, choose best features, train classifiers and optimize their performance with ROC analysis.

With perClass SDK, you can use perClass Runtime to embed classifiers in your applications running without Matlab.

industrial machine learning toolbox for Matlab
luggage sorting with perClass

For whom it is?

perClass is built for R&D specialists using classification as a tool in their project. To get started, basic Matlab scripting skills are needed. However, you don't need to have PhD in machine learning!*

Want to improve your machine learning expertise? We offer an intensive training course providing both fundamental concepts and practical use-cases for typical industrial applications.

To embed classifiers in custom applications, you or your developers need to call a dynamic library (DLL) using your favourite language (C++, C#, Visual Basic, LabView, Matlab compiler or others).

* perClass helps experts, too. Many of our users do hold PhD in machine learning. Read testimonials to learn why they choose perClass

Built to solve problems..

Innovative companies have used perClass to create cancer detection algorithms, sort minerals, detect traffic accidents, or sort luggage at the airports.
University researchers have build brain-computer interfaces, segment bones in medical scans or interpret animal behaviour.
What is your pattern recognition challenge?

luggage sorting with perClass
cross-platform machine learning for industry

Truly cross-platform.

Designed from the ground up as a cross-platform solution, perClass allows you to train your classifiers on a powerful 64-bit Windows workstation and deploy them to a tiny disk-less Linux-based device. Whether on Windows, Linux or Mac, perClass offers the same outstanding performance. The choice is yours.