Case Study: Teosto automates media matching with Aito.ai

Using the predictive database to match dissimilar content

Teosto, a Finnish non-profit performance rights organization, needed to automate the manual matching of TV station music usage reports to the correct media entries. Their data was incomplete, messy, and heterogeneous, with fields varying across media types and often missing key metadata such as season, episode numbers, or consistent names across languages.

Aito.ai used its predictive database to power a machine learning-based matching solution for Teosto, linking the reports table to a cue table of media entries. The system delivered strong matching performance, including 0% error on 19% of content and over 90% accuracy on another 45%, enabling major time and cost savings by fully automating many cases and providing decision support for the rest.

Teosto