JSON, XML, CSV, APIs, etc... metadata catalogs often come in all shapes and forms.
Our engine can ingest any format!
Once the data enters the aggregation engine, it needs to be cleaned and brought to a high standard of consistency.
When data cleansing is complete, data is normalised using established dictionaries and predefined ontologies.
The power of our aggregation engine resides its ability to match disjointed dataset together and connect assets from different namespace, such as those of industry leaders like Gracenote, Rovi/Tivo, IVA, MediaPress, IMDb and others.
Once all ingest, cleansing, matching are complete, all metadata is stored in a single repository which serves as the source of exports back into our Client platforms, as well as the foundation dataset for our content discovery service layer.