Data and AI Solutions for Entertainment and Media

We start by understanding why and when subscribers leave, using engagement, billing, content and support data. Churn models then score subscribers continuously, and we work with marketing and content teams to design interventions such as personalized content promotion, plan changes or pause options. Interventions are tested against control groups so you can see which actions actually retain subscribers and which simply cost margin.

Yes. We use AI to generate first-draft tags, descriptions, transcripts and translations, and editors review, correct and approve them in their existing tools. Confidence scores help prioritize human review where it matters most. Over time, corrections are used to improve the models. This approach dramatically increases coverage of the catalog while keeping quality and brand voice under editorial control.

We model rights data, such as territories, windows, platforms and permitted uses, so it can be applied automatically in recommendations, distribution and AI workflows. For example, a title outside its license window will not be promoted, and content flagged as excluded from AI training will not be used. Integrating rights data early avoids costly mistakes and builds trust with licensors.

C2PA is an open technical standard from the Coalition for Content Provenance and Authenticity for attaching secure provenance information, called content credentials, to images, video and audio. It records who created content and how it was edited, including whether AI was used. For media companies, it helps audiences and partners distinguish authentic content from manipulated or synthetic media. We help integrate content credentials into production and publishing workflows.

Yes. We ingest reporting from platforms such as app stores, connected TV platforms, FAST distributors, social networks and syndication partners, normalize identifiers and metrics and combine them with your first-party data. This gives a consistent view of content performance and revenue across all channels, even when partners report in different formats and time frames.

We design audience data platforms around consent and purpose limitation in line with GDPR, CCPA and similar laws, with special care for children’s data where relevant. Identity resolution uses pseudonymized identifiers, access is role-based and advertising use cases respect user choices. For collaboration with advertisers, we use privacy-preserving approaches such as clean rooms rather than sharing raw personal data.