perClass Pro is a software tool that enables R&D specialists to develop machine learning solutions.
With a Matlab-based perClass Toolbox, you can understand your problem, interactively work with data, choose best features, train machine learning algorithms and optimize their performance with ROC analysis.
With perClass SDK, you can use perClass Runtime to embed trained algorithms in your applications running without Matlab. block.

perClass Toolbox is built for R&D specialists using machine learning 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 solutions 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

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 machine learning challenge?

Designed from the ground up as a cross-platform solution, perClass Pro allows you to train your recognition algorithms 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.