The human wrist is a highly valuable "real-estate" for sensing the human body. Nerve bundles and arteries pass directly beneath the skin thus it is possible to sense the electrical conductance of the nerves and other bodily functions and collect valuable data.

The Mudra technology utilizes recent breakthroughs in Artificial Intelligence in order to comprehend streams of incoming data from each user’s unique physiology in very high sampling rates. With the use of Deep Learning algorithms and Convolutional Neural Networks, we translate digital signals, and classify them as one of the gestures.

When the user moves his fingers, the SNC sensors detect biometric signals originating from the nervous system passing through the wrist. Deep learning algorithms translate electronic signals and classify them as a user-intended gesture. Each gesture defines and transmits a unique interaction with the device.

Our state-of-the-art miniaturized and low-power electronics, combined with cutting edge machine learning and deep learning algorithms (running on TensorFlow), are aimed to provide the most intuitive and stable interface multi-platform solution. Our technology is cross-platform, running applications on Android, Windows, and iOS.