GoQba was formed from a cooperation with the Korea National University Medical Center Neurological Research Team. An initial prototype algorithm for fast, high accuracy object detection using cutting edge deep learning AI was created. Soon after, GoQba entered into Google's Developer Launchpad and presented the technology at major exhibitions such as Web Summit and Techcrunch Disrupt.
Now, we are focused on bringing our AI technology to other areas such as Healthcare (gaze-point tracking / OCR) and Digital Therapeutics.
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Video is becoming ubiquitous in the modern era. Our vision is to build and train AI that is able to create actionable insights directly from visual data. The big problems we are focused on:
▶ Using gaze-point tracking to identify neurological problems early
▶ Delivering mixed reality based digital therapies
We create AI that uses convolutional networks and deep-learning to effectively create insights, predictions, and usable data from (comparatively) low resolution video and movement data.
In some cases, multi-modal data is also applied in order to create more accurate outcomes, and to help tailor our mixed reality therapies based on the actual measured progress of the user.