MusicData Lab
Your Music Data, Finally Unified
Aggregating millions of streaming records from Spotify, Apple Music, YouTube and more into a unified royalty data integration system.
Prototypes for Every Corner of the Music Industry
Built for Scale
Flat price (no surprises)
Music & Tech Experts Involved
Days to Deliver Project
Working days total
How Does It Compare?
| Approach | Setup | Maintenance | Format Changes | Scales |
|---|---|---|---|---|
| Manual spreadsheets | None | Hours/month | Breaks silently | More hours per source |
| Generic ETL | Medium | Low | Limited | Only if connector exists |
| Custom Python scripts | High | High/fragile | Depends on dev | New script per source |
| Adapter-based pipeline | High upfront | Low | Adapter update only | Add adapter, done |
17+ Distributors and Growing
Universal Base + Specialised Adapters
More Than a Data Pipeline
- Scout: Batch ISRC EnrichmentUpload 40,000 tracks, get back clean ISRCs, artist data, and confidence scores. Matches against Spotify and MusicBrainz APIs. Days of manual work in minutes.
- Read more
- AI Audio Similarity SearchFind sounds by how they sound, not how they're tagged. CLAP embeddings and vector search discover SFX by acoustic similarity in seconds.
- Read more
- AI Analytics DashboardAsk plain English questions like 'top 5 artists by income' and get instant charts. Powered by ClickHouse and local LLM. No data leaves your servers.
- Read more
AI-Native Tools for Music Data
Two Experts. One Killer Combo.
Mariusz Smenżyk
Lead AI Developer & System Architect
Experience
Full-stack developer and AI engineer with 15+ years of building production systems. Created the entire MusicData Lab pipeline from scratch, including 17+ distributor adapters, the Elasticsearch engine, and the automated ingestion workflow. Runs MusicTech Lab, a music and sport tech studio.
Role in Project
Designs and builds the complete data pipeline. From raw distributor files to clean, queryable data. Handles architecture decisions, adapter development, AI-powered data matching, and infrastructure on Digital Ocean.
Fatiha Ben Brahim
Music Rights & Metadata Strategist
Experience
Over 30 years in music rights, royalty administration, and catalogue intelligence. Led global rights operations across major publishers and rights-tech organizations. Creator of MetadataIQ, a service focused on rights-data audits and valuation insights for rights-holders, investors, and musictech companies.
Role in Project
Ensures the data model captures what matters for royalty calculations and rights management. Validates field mappings, defines business rules for edge cases, and provides domain expertise that keeps the system aligned with how the music industry actually works.
Trusted by
Case Study
Universal Music Data Parser for 20+ Platforms
200M+ streaming records from Spotify, Apple Music, YouTube and 20+ distributors unified into a single queryable system. 25+ adapters handle format chaos (CSV, XLS, XLSX, XLSB), inconsistent naming, date quirks, and mixed currencies. Reports generated in under 15 seconds. Built for Cherry Red Records (UK).
Jack Clough
Digital Manager @ Cherry Red Records
Working with MusicTech Lab has been a pleasure. The team provided us with helpful regular updates across the development process, and went above and beyond in delivering additional features and ideas. Their ability to problem-solve and resolve any issues swiftly helped deliver an excellent final product.
Matt Bristow
Director @ Cherry Red Records
MusicTech Lab built us an incredibly useful piece of software and delivered on budget — doing a thoroughly professional and diligent job throughout the whole process.
