RAI is an open API that uses machine learning to clean and enhance metadata by matching disparate data sets.
Resolve ISRC mishaps on your recordings to attribute ownership, pay rights holders and properly assess the value of each work over time.
Identify all recordings of your composition in the marketplace, and resolve conflicts across varying representations of your works to attribute ownership, pay rights holders and properly value catalog.
Generate perfect metadata for new releases and clean back-catalog to ensure quick and accurate compensation from digital outlets.
Exceed DSP metadata standards for recording and composition data without the expense of manual cleanup.
Remove redundant systems by providing users with recording and composition information all in one place.
RAI's ability to break metadata into its finest components allows the output information to be formatted to your specifications.