We combine academic know how with industrial implementation.
Some of the technologies we use on a daily basis
Some of our previous projects.
For SoundCloud we developed recommender systems, spam detection systems and optimized their search ranking. We designed the systems from scratch, implemented and maintained them.
From big data processing to model training to prototyping and online A/B testing. The solutions had to scale up to hundreds of millions of users. The models were trained on billions of data points.
We were involved in building up SoundCloud’s data organisation and had an essential influence on SoundCloud’s success.
For Idagio we designed and implemented a music recommender system from scratch. The final model is a deep neural network and was based on YouTube’s production recommender system.
The model is using various input signals such as metadata information, collaborative filtering signals as well as the raw audio data itself.
The system had to scale up to millions of audio tracks.
For Muru Music we built a system to classify audio tracks into their main and sub genres. The system was trained on multiple large scale production catalogues from BMG, Sony and Warner. A total of 2 million tracks were used to train the model.
In order to deal with these data set sizes we built a data platform on top of Google Cloud Services. All pipeline steps were fully automates: preprocessing of the audio, model training, model prediction and rich evaluation. This data platform enabled us to quickly run experiments and iterate on the model.
We used a deep convolutional neural network which operated directly on the raw audio features. No high level features were used.
BSDEX is a crypto exchange platform and a daughter company of the stock exchange Stuttgart. BSDEX wanted to become a data driven organization and asked us to assist them.
In order to do that we introduced new technologies and moved parts of the old infrastructure into the AWS cloud.
Technology is just one part in order to become a data driven organization. More importantly is to enable the people. For that sound processes and an appropiate organizational structure needs to be in place. We decided to organize the company around a data mesh and defined neccessary data processes.
Technology and enabled People helped BSDEX to get the most value out of their data.