Filmaster provides cloud-based personalization and analytics solutions for the entertainment industry. Our clientele consists of cable providers, VODs, IPTV platforms and cinema chains.
Filmaster employs algorithms that drive our cloud-based recommendation engine. It allows customers to immediately deploy personalization without the long process of data gathering.
Borys Musielak /Founder & CEOInternet entrepreneur with tech background. Led teams in startups andlarge corporations in Poland, Germany and UK. Founded OSnews.pl, nowthe Polish leader of citizen journalism. Co-founded ReaktorWarsaw.com,a major Polish startup hub. Named one of 50 most innovative Polishentrepreneurs by Brief Magazine in 2012.
Paweł Czerski /Co-founder & Product GuySpecializes in Human-Computer Interaction, User Centered Design, andUser Experience in general. Organizes some of the biggest Europeanconferences for front-end developers: Front-Trends and Falsy Values.Previously, managed a team of front-end developers and designers at theinformation technology services division for F. Hoffmann-La Roche Ltd.
Jakub Tlałka /Co-founder & Tech LeadResponsible for the research and development of the recommendationengine. Studied Math and Computer Science at University of Warsaw.Awarded in multiple international informatics contests and olympiads.
Filmaster’s cloud is fueled by the data from multiple sources including Filmaster’s consumer apps, customers, (social) mediamonitoring and curation. The personalization platform processes this data and provides the recommendations service tobusiness customers. The analytics platform uses the same data to provide additional services and produce reports.
Current revenues come from connecting Filmaster's personalization cloud to VOD platforms and cinema chains (Psycho) aswell as cable networks and TV devices (Vertigo).
Data collected in the cloud by Psycho and Vertigo customers allow Filmaster to offer analytics services to the entertainment industry,eventually positioning Filmaster as a better, more affordable andscalable alternative to Nielsen.
Recommendation algorithms are hardly comparable because they need the same input datasets to generatemeaningful and useful results. The algorithms that are available as products are similarly effective from themathematical standpoint i.e. they’re all based on similar principles and vary in insignificant details.
The practical differences come out in aspects such as flexibility, ease of deployment and effort needed tomaintain, price, and the availability of initial data.
The Filmaster algorithm
Filmaster analyzes each viewer’s watching behavior and how the viewer rates videos. Filmaster then combinesthis data with specific film traits (both those explicitly assigned by the editors and those algorithmicallyextracted using AI technologies) and current mood of the user to deliver personalized movie recommendationsrelevant to the specific taste and preference of each user.
Filmaster delivers a platform that makes TV both personal and social. Your TV will know what you want to watchbased on your taste, current mood, recommendations from friends, and watching trends in entire network.
Data is a part of the deal
Data is a part of Filmaster’s offer and is as important as the algorithms. It allows for instant recommendations(solution to the “cold start” problem) and unique features such as mood-based recommendations andinnovative ways to present content.
Flexibility and ease of deployment
Filmaster SaaS model means the product is not only out of the box but actually is ready to use from day one.Customer takes control over different variables e.g. whether the algorithm should be more brave or moreconservative. Also, the algorithm is modular, meaning its different parts can play more or less significant rolehen used by different customers delivering the best user experience for their consumers.
The pricing is flexible and depends on the API usage. It’s important to realize that the SaaS price covers bothhosting and support, so it’s very competitive compared to in-house development or using out-of-the-boxproducts (like those from The Filter or Gravity) which still need to be maintained in-house.