SARINA - Restore Independence Through Neural AI

Vison: Dawn breaks over the Blue Ridge Mountains. Solar panels catch the first light. SARINA boots up—no wall outlet needed, no generator required. Just sunlight. An Electroencephalogram (EEG - Non invasive electrodes placed on users head) reads the thoughts of a person and sends brain signals that will power an exoskeleton to take their first assisted steps to ascend a trail. These first steps represent a sense of regained impendence.

The Challenge: 5.4 million Americans live with paralysis, including thousands of veterans. Existing Brain Control Interface (BCI) systems require clinical infrastructure, limiting outdoor access and independence.

Our Solution: The first brain-computer interface that works anywhere the sun shines. No power grid. No infrastructure. No limits. We provide complete BCI mobility restoration—from initial calibration through field deployment—powered by our proprietary solar-powered edge computing platform.

Technology: Grace Blackwell GB10, solar-powered edge computing.

Status: Solar Powered, AI enabled computer prototype operational with validated Accuracy at 80%+. Looking for partners and or funding for exoskeleton implementation.

AI Training: SARINA was developed and validated using the Mobile Brain-Body Imaging (MoBI) dataset—a peer-reviewed, publicly available benchmark published in Nature Scientific Data (He et al., 2018). Training on 60-channel EEG recordings from 8 subjects performing treadmill walking tasks, SARINA achieved 80.1% correlation accuracy in decoding gait intentions, with 83.2% accuracy for knee joint prediction—the critical control point for powered exoskeletons. Validated across 25,000 held-out samples, these results demonstrate clinical-grade performance for personalized BCI applications. The quantum neural network architecture, trained on our proprietary solar-powered platform, processes brain signals in real-time with natural movement preservation, establishing the technical foundation for field-deployable mobility assistance systems.