audioT is a new venture applying low-power machine learning algorithms developed at Georgia Tech to address the computational requirements of edge node processors bombarded by real-time sensors. Intelligent acoustics at the edge provides the best utilization for local storage and minimizes transmissions to the cloud for better energy efficiency.