We create software products that capture attention
Dig dis! is a “music distribution” platform with users from all over the world. In simple words, dig dis! has a user interface to upload music, send music to other platforms (e.g. iTunes, Spotify, etc.), and report the sales of each platform back to the user.
We created a way to connect artists and music producers and labels to the music distributors and also ease the way of calculating of shares and sending statements.
Natural language processing solutions (NLP) offer a variety of benefits of using artificial intelligence and machine learning tools to solve a range of common business and technology problems related to processing, sorting, and making sense of data. We have helped the most prominent European companies and public sector organizations to instrument semantic search and question-answering (QA) to automate data processing, legal analysis, regulatory compliance, and decision-making.
For DB Regio AG, we developed the Mitfahrer App, which allows customers to form rideshare groups. This picks up on the general ‘sharing’ trend and enables a social driving experience.
From a technical perspective, in addition to the native apps, the server infrastructure is also interesting. DB AG transports 11 million passengers every day – an application must be able to cope with this scale of user requests in order to achieve high customer satisfaction and high reliability.
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