It all starts with the first step
We kicked off the product collaboration by assigning a single strong TechLead to do research and analysis on the existing infrastructure and Python codebase.
Based on our analysis we suggested a new process, way of working and architecture to onboard new team members more efficiently.
Active support in infrastructure transformation for reliability
To ensure they could deliver a reliable product with minimal downtime, we advised them on infrastructure, DevOps, and continuous delivery.
Our team supported the scaling phase by implementing a new infrastructure with improved system reliability and streamlined deployments, reducing errors and boosting efficiency.
Web app and monetization from scratch
As the company started with mobile-first, they lacked a web app, so we implemented the first version of the web-app including the front-end React architecture.
In the first months of the collaboration we have developed critical features like Split Payments, PRO subscriptions etc. targeted at growing monetization features and attracting paid users to use the tools.
Building for growth
One of the most complex systems we supported in building is a comprehensive custom music distribution pipeline for over 30 different online stores - e.g. Spotify and Deezer
Moving forward: after building a royalty payout solution with over 30 milllion of USD processed in payments, our team also independently developed a marketing tool that allows artists to share their music on social media, enhancing their reach and engagement with fans.
Automated Content Review services
Our team recently introduced Automated Content Review services, leveraging machine learning and specialized tools for audio, language, and image analysis.
These services automate the music review pipeline, significantly improving platform scalability and review consistency, reducing manual tasks, as well as lowering release lead times.
Implementing this project involved the use of rule engines and a comprehensive knowledge base to streamline and optimize the entire review process, ensuring a high level of accuracy and efficiency.
