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From AI-based 'sounds-like' search engines for sync, to custom audit tools that cross-reference performance logs, we build the bespoke tools that off-the-shelf software misses.",{"type":771,"headline":772,"title":773,"columns":774,"items":775},"stats","By the Numbers","Built for Scale",4,[776,780,784,788],{"value":777,"label":778,"icon":779},"€5,490","Flat price (no surprises)","i-lucide-coins",{"value":781,"label":782,"icon":783},"3","Music & Tech Experts Involved","i-lucide-users",{"value":785,"label":786,"icon":787},"14","Days to Deliver Project","i-lucide-calendar",{"value":789,"label":790,"icon":791},"8","Working days total","i-lucide-timer",{"type":793,"headline":794,"title":795,"description":796,"items":797},"comparison","Approaches","How Does It Compare?","There are many ways to handle royalty data. Only one scales reliably.",[798,804,810,816],{"approach":799,"setup":800,"maintenance":801,"formatChanges":802,"scales":803},"Manual spreadsheets","None","Hours/month","Breaks silently","More hours per source",{"approach":805,"setup":806,"maintenance":807,"formatChanges":808,"scales":809},"Generic ETL","Medium","Low","Limited","Only if connector exists",{"approach":811,"setup":812,"maintenance":813,"formatChanges":814,"scales":815},"Custom Python scripts","High","High/fragile","Depends on dev","New script per source",{"approach":817,"setup":818,"maintenance":807,"formatChanges":819,"scales":820,"highlighted":821},"Adapter-based pipeline","High upfront","Adapter update only","Add adapter, done",true,{"type":749,"headline":823,"title":824,"description":825,"columns":826,"items":827},"Supported Platforms","17+ Distributors and Growing","Each distributor gets a dedicated adapter that handles its quirks. Adding a new one takes 2-3 hours.",3,[828,832,836],{"icon":829,"title":830,"description":831},"i-lucide-building-2","Major Distributors","ADA (Warner), The Orchard (Sony), Merlin, FUGA (Downtown), Believe, TuneCore, DistroKid, CD Baby",{"icon":833,"title":834,"description":835},"i-lucide-globe","Platforms","Bandcamp, Qello, SoundCloud, YouTube Music, TikTok, Meta",{"icon":837,"title":838,"description":839},"i-lucide-map-pin","Regional","Phonofile (Nordic), Zebralution (Germany), IDOL (France), Altafonte (Spain/LatAm)",{"type":749,"headline":841,"title":842,"description":843,"columns":774,"items":844},"Architecture","Universal Base + Specialised Adapters","Every distributor report maps to 20 standardised fields. The adapter handles the quirks; downstream systems get clean, uniform data.",[845,849,853,856],{"icon":846,"title":847,"description":848},"i-lucide-user","Identification","Artist, Track, Product, Label, UPC, EAN, ISRC",{"icon":850,"title":851,"description":852},"i-lucide-map","Location","Country code (ISO), Territory",{"icon":787,"title":854,"description":855},"Time","Year, Month, Period begin/end",{"icon":779,"title":857,"description":858},"Financial","Currency, Units, Unit price, Income, Income type, Retailer, Service type",{"type":860,"headline":861,"title":862,"description":863,"orientation":864,"reverse":69,"image":865,"imageAlt":866,"features":867},"features","Built-in Tools","More Than a Data Pipeline","MusicData Lab comes with specialized tools that solve real problems music companies face every day.","horizontal","/images/blog/musictechlab_blog_scout-isrc-metadata-enrichment.webp","MusicData Lab built-in tools",[868,873,878],{"name":869,"title":870,"description":871,"icon":872,"link":185},"ISRC FINDER","Scout: Batch ISRC Enrichment","Upload 40,000 tracks, get back clean ISRCs, artist data, and confidence scores. Matches against Spotify and MusicBrainz APIs. Days of manual work in minutes.","i-lucide-search",{"name":874,"title":875,"description":876,"icon":877,"link":351},"AUDIO SEARCH","AI Audio Similarity Search","Find sounds by how they sound, not how they're tagged. CLAP embeddings and vector search discover SFX by acoustic similarity in seconds.","i-lucide-audio-waveform",{"name":879,"title":880,"description":881,"icon":882,"link":85},"AI ANALYTICS","AI Analytics Dashboard","Ask plain English questions like 'top 5 artists by income' and get instant charts. Powered by ClickHouse and local LLM. No data leaves your servers.","i-lucide-message-square",{"type":749,"headline":884,"title":885,"description":886,"columns":826,"items":887},"Experimental","AI-Native Tools for Music Data","We're exploring a new way to interact with music data — open-source MCP servers that let AI assistants query, analyse, and manage your catalogue directly. No dashboards, no clicks — just ask.",[888,894,899],{"icon":889,"title":890,"description":891,"badge":892,"link":893},"i-lucide-music","MCP Bandcamp","Query Bandcamp sales reports, revenue by artist, top items, and fee breakdowns — all from your AI assistant.","Open Source","https://github.com/musictechlab/mtl-bandcamp-mcp",{"icon":895,"title":896,"description":897,"badge":892,"link":898},"i-lucide-file-audio","MCP Metadata","Read and write audio metadata tags (title, artist, album, ISRC, genre) in MP3, FLAC, and OGG files programmatically.","https://github.com/musictechlab/mtl-metadata-mcp",{"icon":755,"title":900,"description":901,"badge":902},"MCP FUGA","Query FUGA (Downtown) royalty reports, catalogue data, and distribution analytics through your AI assistant.","Coming Soon",{"type":904,"headline":905,"title":906,"description":907,"columns":752,"items":908},"team","Team","Two Experts. One Killer Combo.","A rare blend of deep technical skill and 30+ years of music industry knowledge. Together, they cover every angle of your data challenge.",[909,923],{"name":910,"role":911,"tags":912,"image":918,"experience":919,"bio":920,"linkedin":921,"website":922},"Mariusz Smenżyk","Lead AI Developer & System Architect",[913,914,915,916,917],"PYTHON","DATA PIPELINES","AI/ML","ELASTICSEARCH","SYSTEM ARCHITECTURE","/images/team/mariusz-smenzyk-2025.webp","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.","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.","https://www.linkedin.com/in/smenzyk/","https://musictechlab.io",{"name":924,"role":925,"tags":926,"image":931,"experience":932,"bio":933,"linkedin":934,"website":935},"Fatiha Ben Brahim","Music Rights & Metadata Strategist",[927,928,929,930],"DIGITAL RIGHTS MANAGEMENT","ROYALTY ADMINISTRATION","METADATA STRATEGY","RIGHTS-TECH","/images/team/fatiha-ben-brahim.webp","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.","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.","https://www.linkedin.com/in/fatihabenbrahim/","https://fbms.tech/",{"type":937,"headline":938,"title":939,"caseStudy":940,"items":945},"testimonials","Clients","Trusted by",{"title":38,"description":941,"image":942,"link":943,"badge":5,"logo":944},"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).","/images/case-studies/musicdata-lab-universal-music-data-parser-case-study.webp","/blog/case-studies/musicdata-lab-universal-music-data-parser-case-study","/images/logos/cherryredrecords.webp",[946,951],{"quote":947,"name":948,"description":949,"avatar":950},"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.","Jack Clough","Digital Manager @ Cherry Red Records","/images/lp/musicdata-lab/jack-clough.webp",{"quote":952,"name":953,"description":954,"avatar":955},"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.","Matt Bristow","Director @ Cherry Red Records","/images/lp/musicdata-lab/matt-bristow.webp",{"type":957,"headline":958,"title":959,"description":960,"salesPerson":961,"formHelpType":741},"contact","Get Started","Struggling with Messy Royalty Data?","We built this system and we can tailor it for your label. Tell us about your data challenges.","Maciej Dulski",{"type":963,"headline":964,"title":965,"ctaLabel":966,"formAnchor":967,"items":968},"faq","Questions","Got Questions? We've Got Answers","Let's talk about your data","#contact-form",[969,972,975,978],{"label":970,"content":971},"Can you handle our specific distributor?","Most likely yes. We already support 17+ distributors and adding a new adapter typically takes 2-3 hours. If your distributor sends reports in CSV, XLSX, or similar tabular formats, we can build an adapter for it.",{"label":973,"content":974},"Do we need to change our existing workflow?","No. The system ingests raw files as-is — just drop them in. Your team keeps working with the tools they know while getting clean, unified data out the other end.",{"label":976,"content":977},"Is this a SaaS product or a custom build?","It's a custom-tailored solution. We deploy and configure it specifically for your label's distributor mix, field mappings, and reporting needs. You own the infrastructure.",{"label":979,"content":980},"How long does initial setup take?","For a typical label with 5-10 distributors, initial setup takes 2-4 weeks including adapter development, data validation, and deployment.","services/musicdata-lab","SUwiQIBFWO1c7TRokUx27a7yvK85i6FQYVy54q-YbyQ",1780305130848]