Instead of going through this manual process of training, validating, and testing – and being exposed to the pitfalls that this process entails – there is a much better way.

This way is more accurate, more seamless, more flexible and more scalable. 

It’s’s automated data pipeline, powered by’s next-gen Decentralized Human Guidance solution.

With’s platform, you can set up your model by customizing every aspect, with a simple drag and drop interface; decide what elements to add, set up training, validation and testing, and set your model to continuously optimize. 

Add human validation at key stages, and you really start to feel the magic. This isn’t any human validation: it’s access to the global crowd of Tasqers, with the necessary geographical and skill-based backgrounds to provide meaningful feedback.

To learn more about incorporating into your ML workflows, get in touch with the experts today.