We’re developing and testing music-tech tools inspired by real workflows. Our aim is to support human-driven processes around sync and beyond. We utilize AI to help efficient music management and search, and never to generate music. Our approach to IT is visionary, ethical, research-based, and professional.
Catalogue administration infrastructure
① Customised web-ready music sharing and maintenance features;
② Integration with AI-assisted functionalities.
Intelligent discovery & search
① Similarity search – Drop in a reference track (e.g. YouTube link) → receive musically similar options; read our recent ↖ study
② Free-text / keyword search / category-based exploration (mood, texture, energy, structure) – Find matching tunes given any natural language prompt;
③ Auto-descriptive tagging – Tag and describe your catalogue assets automatically for accurate search and categorisation.
Open-source, academia-inspired, and application-first mindset
① Explore and customize technologies with a wide range of deployment strategies, licensing models, and performance characteristics;
② Research-driven & practical: explainable technologies without black boxes;
③ Efficient, effective and ethical utilisation of the latest AI advancements–in partnership with the Music Technology Group from University Pompeu Fabra in Barcelona for their models in the ↖ essentia library.