Innovative Solutions
in Digital Distribution

Your message, your content, your customers – bringing it together with EYZ Media


Video-on-Demand Solutions

From Modules to End-to-End

There is more to Video-on-Demand than mainstream. Digital Distribution is tailor-made for reaching specific target groups and individual customers. But this requires the right technical solution. Let EYZ Media help you to develop a VOD solution that fits your profile, content and users. You are looking to modify or add a single module to your system? You need to integrate components into your existing online eco system? You want to solely focus on your strengths and utilize an end-to-end turn-key solution? In cooperation with our experienced team you can make things happen - innovative, transparent and cost-efficient.

White label solution, stand alone platform or individual site element - we will work with you from the concept stage to the go-live. Our experienced team of devlopers, web designers, project managers, marketing and content specialists will find the best way for you to digitally distribute your content.


"... Viewers can personalize their own film festival - conveniently at home..."

Der Tagesspiegel, Berlin


EYZ Media equips the platforms of the Sooner network and other VoD platforms with the complete VoD operating technology. This includes all software components of the front- and backend, apps in the TV and mobile area, recommender systems and process automation for content delivery, ingest and archiving. The full-service system is offered as SaaS, enables convergence under the objectives of cost efficiency, brand consolidation, modernization and expandability.

Customers:,,,, CALD, VodInn

Recommender System

Adaptive algorithms for personalized, state of the art recommendations.

EYZ Media carried out a recommendation algorithms research project in cooperation with the Artificial Intelligence Laboratory at the Technical University of Berlin. The focus was on developing graph-based recommendation algorithms that integrate an array of content sources. The objective was to develop recommender systems for high-quality, personalized recommendations for small to medium-sized product assortments in German and international online marketplaces. The performance of the recommendation algorithms is evaluated using both standardized performance indexes and user feedback. After completion and testing of the prototype, customers can now purchase the use of recommender as SaaS.