Features
- Innovative search and filtering
- Embedded Vectorisation of meta and audio data
- Audio processing and watermarking
- Edge content delivery and caching
AI-driven search engine for African Music Licensing
Biblo Music is a fullstack AI search, media management and deployment platform that brings African music to the film and media industry.
We built Biblo Music on proven open source technologies, using the Elastic Search stack and Kubernetes to orchestrate the complex workloads required to leverage AI to enhance the search and discovery of African music for licensing in film and media. The platform also includes a fullstack media management system that allows users to upload, manage, and license music tracks seamlessly.
Biblo consists out of a database of roughly 3000 songs by some of the most prominent African artists on the continent. We opted for vectorisation of metadata and audio data in order to find really good results based on natural language search input.
Meteor.js, React, MongoDB, Elastic Search, Kubernetes, AWS, Figma, Gitlab, Kubernetes, Docker
Yuvehsni Konar - UX Consultant
Dean Harber - Lead Architect
Matthew Hibbert - Software Developer
Markus Wormstrom - Product Owner
Regardt Nel - Operations
Software Architecture and Development
Continuous Integration and Deployment with DevOps
6 Months
Enterprise-level features, built in a short time frame, with a focus on scalability and performance. The platform is now used by various media companies to license African music for their projects.
We were able to iterate fast and test to see what really works. The fast iteration was key for me.
Markus Wormstrom - Founder of Biblo Music
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