The Leidos Clinic team built a character recognition neural network application on Leidos’ prototype System on Chip (SoC) device. The application was tested for accuracy and performance on an FPGA-based prototype system. The application showcases the processing capabilities and reprogrammability of the SoC, which are both important features for potential customers. The team demonstrated SoC performance by processing 28×28 pixel grayscale images at a rate of more than 1,270 megapixels per second. Additionally, lessons learned during the team’s development process informed Leidos on how to facilitate future application development.