We developed three big-data models used as predictive modeling for sleep apnea and AF (atrial fibrillation). The results are validated to be ~95% accuracy. This compares to a research report published by Nottingham University in UK in April 2017, whose accuracy for heart attack prediction at ~75%. We now are looking for health insurance companies to use our models for claims reduction. And, we are looking for interested VCs to help us grow.