Symmetric uses AI/ML and automated processes to clearly identify a device for regulatory, public health and commercial use by matching existing public data (UDI, GUDID, HIH, GMDN, etc.) with commercial data (item masters and registries) to establish a mirror for all sources to see their data more clearly and take actionable steps together to improve it. The success of AIDC/Data capture to retrieve device label information is critical for the success of our business. Given our dependence on capturing UDI and verifying other information on the label we want to be more involved with the experts in this field and to contribute to advancing the goals of AIM.