The first step towards achieving this vision is to increase the ease of use and mobility of brain imaging hardware and software while maintaining a certain level of accuracy and validity of measurements. We are also working on different ways of obtaining sufficiently sized databases of brain activity and performing big data and machine learning processes that are going to help us with finding new biomarkers and analytical algorithms for fast automated metrics.

The key challenge and our greatest passion is connecting all of these levels together vertically: from sensors through automated cloud metrics to reports for end users. By doing that, we are able to design easy-to-use turnkey solutions that address the needs of our society and to invent new business models that will allow for this inspiring technology to be used on a much larger scale tomorrow.