Elevating research engineering

Are you tired of struggling with tools to model the complexity of your research?

The engineers often encounter rigid architectures that they must adapt to sophisticated computational needs, when flexible tools would be much more useful and effective.

It is precisely to short this need that Addfor has created CrazyTrain, a framework that helps teams easily build, manage, and scale complex, data-driven projects.

CrazyTrain organizes tasks into simple, connectable blocks—”wagons”—eliminating repetitive coding by providing predefined car libraries for data import, processing, filtering, and modeling and opening the access to effective Machine Learning tools without the need to be experts.

CrazyTrain’s functionality offers:
• automatic code generation in Python;
• maximization code re-use;
• simplification of model distribution.

This automated setup allows teams to focus on getting actual results and answering questions, rather than fighting with rigid tools and complex configurations.

So, are you ready to stop fighting your tools?
CrazyTrain is designed for engineers who refuse to be limited by linear thinking: it is time to use a framework that works as hard as you do!