Philo selects Reelgood for metadata and content intelligence integration

Philo has selected Reelgood to provide content metadata, catalog intelligence and historical availability data across its U.S. programming, the companies announced April 14.

The integration connects Reelgood’s metadata platform directly with Philo’s machine learning infrastructure, supporting personalization and audience analysis across the streaming service, the company said.

Reelgood will deliver daily refreshed metadata covering Philo’s full catalog, along with cross-platform insights into content performance across more than 300 streaming services. Those signals are intended to inform both recommendation systems and content acquisition strategies.

“We needed a metadata partner that could support our machine learning work at the level of quality and coverage it requires. We chose Reelgood because of the depth of its metadata infrastructure, which is central to how we build content understanding and a recommendation system,” said Sai Vuppalapati, lead product manager of data and machine learning at Philo.

Philo will also gain access to Reelgood’s historical availability data, with records dating back to 2019. The dataset provides visibility into licensing windows and competitor catalog trends, which can support acquisition decisions.

Reelgood said its platform uses machine learning models to match and maintain metadata, with continuous updates on streaming availability and structured taxonomy for genre classification.

“Philo’s experienced teams understand that any recommendation engine is only as good as the metadata feeding it,” said David Sanderson, CEO and founder of Reelgood. “They came to us for complete, deduplicated coverage refreshed daily.”

Philo said the partnership is intended to strengthen recommendations and identify gaps in its content library.

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“Reelgood will help us better understand what our audiences want to watch and how to connect them with it,” said Edward King, chief product officer at Philo.