B4PLAY is in the game data business.
Provide game metadata to TV and mobile manufacturers and SaaS to game companies to discover game trends.
Collected 800,000 games, refined and integrated the data, and developed data generation technology that can understand the game context using AI.
We provide game metadata to TV manufacturers and mobile manufacturers. The rich raw data of games we provide improves game search, recommendation, and AI.
The process of collecting and refining various data. Games may be released with different game names or have different notations depending on the country. The genre and rating also differ, so we have built a data warehouse that can respond globally.
Games have various classification systems for each platform. In order to integrate them, we developed our own classification system, and the system is continuously managed. With the Taxonomy Library, we can automatically build attribute data for each game using our AI technology.
Search and AI need various raw data to show results that are suitable for user queries. Our Context AI automatically generates Descriptive Keyword data that understands the context of the game and can easily explain the game. We have been recognized for data quality and technology through PoC with Samsung, and we are in continuous supply discussions.
Optimization refers to the process of finding the best goal at the lowest cost for a given problem. Usually, it is difficult to use raw data as it is. We proceed with the optimization process of expressing whether the generated data is suitable and can be utilized usefully as a numerical matrix and finding a goal that can minimize the loss function.
In order to meet specific requirements, we have built the most basic data from the data design stage. With this design method, customers can utilize our data well as learning data, which is especially useful for AI developers.
Data is constantly changing, and new data is being created even now. Data should not be provided one-time, but should be continuously supplied with updated data according to the times, user needs, and customer needs. Our update & data feeding technology can solve this.
Companies that provide game search and AI require various raw data to recommend games that are suitable for user queries.
B4PLAY collects information on games before or after their release and provides the game's popularity, expected sales before release, and the number of purchasers after release in a matrix developed by us. In particular, the ML algorithm we developed can predict the number of game purchasers after release, which is somewhat unique data. In addition to being able to see various statistical data for individual games, the popularity index of games before release is useful data for many companies.
Rising Game Index
Owner count estimation
Sales Prediction
Various statistical data
Regular updates
Developer friendly
