Artificial intelligence engineers will have visual tools to train and diagnose artificial intelligence applications, robots, or other devices while they are running or during the training. They are able to overview and compare every evolution of its models and are able to have an intuition of its behavior using tools to analyze and run diagnosis. Interpreting the behavior of such artificial intelligence, either during training or deployment, is key and supported by graphical tools that visualize the complex technical details of an artificial intelligence model in a very intuitive way to a human brain.

The more we automate production, medical health, and other aspects of our life, the more important it is to understand, fix, and improve artificial intelligence models in research, and actual real-life applications. Also, since more and more jobs will be replaced by robots, it's important to have enough people working on building, repairing, and understanding robots and its ancestors. We will accomplish that with tools supporting us humans with all those tasks – as we simply won't be able to have an own intuition about such machines.


We are far away of understanding and utilizing the full power of artificial intelligence and its underlying algorithms of the deep learning family. We have roughly 20.000 data science out there that are related to machine learning in one way or another. Compared to the 21.000.000 developers worldwide, it's currently still a tiny community.

Applying deep learning for certain use cases involves currently massive investments in tools, infrastructure, and management. Our mission is to empower and support all those 21 million developers, research, and the industry to use artificial intelligence more time and cost efficiently by providing high quality tools and infrastructure solutions. Not by locking them into a central web based solution, but by giving them native analytical, management, and diagnosis tools working completely offline like they are used to with their existing tools like IDEs, code editors, databases, and debuggers.