You are responsible for a catalogue of artists. Some are performing. Some are stalling. Some have fraud problems you do not know about yet. Some have royalties going uncollected in territories where their works are not properly registered. Right now, understanding any of this requires manual investigation across multiple platforms, spreadsheets, and intuition. At scale, that approach breaks. Musicata Pro replaces it with one structured view of the roster, refreshed daily.
Somewhere in your catalogue, an artist has fraudulent playlist placements you do not know about. The platforms do not penalise the curator running the bots. They penalise the artist, the label, and the distributor. By the time you find out, the algorithmic damage is already done.
An artist on your roster is growing 30% faster than any other artist in their genre right now. Without a structured early-warning layer, you find out when a competing distributor offers them a better deal. Trends on social media announce signings, not opportunities.
Tour routing chases historical demand. Genuine listening density moves faster than booking calendars. The result: half-empty venues in markets that used to work, and untapped demand in markets you are not booking. Geographic intent can be measured. It rarely is.
Musicata Pro sits above the silos. It does not replace your distributor dashboards - it explains them.
Four modules, one cross-reference engine. Each asks a different question of the same 1,200 data points per artist, cross-referenced daily. The output is not another dashboard. It is a verdict you can defend in a meeting.
Catalogue-wide fraud identification, using machine-learning models built on forensic methodology. Five risk levels per artist - Clean, Suspect, Under Investigation, Suspended, Blocked - with the contributing factors shown for every verdict. Roster-wide prediction summaries, alert aggregation, investigation notes with audit trail, and a feedback loop that improves accuracy over time. Catches bot farms, manufactured streams, and playlist manipulation before the platforms take action on your artists.
Surfaces three types of momentum: zone promotions (career-level advancement), velocity spikes (growth-rate acceleration), and streaming surges (extreme baseline multipliers). Prioritised feed, weekly digests, and a portfolio heatmap showing growth patterns across the entire catalogue. By the time an artist trends on social media, the signing opportunity has passed. Agent Radar shows you weeks earlier.
Maps where genuine listening density exceeds tour-routing inertia. Identifies warm-but-unbooked markets, sub-territories that justify a venue upgrade, and regions where ticket pricing is leaving margin behind. Designed for booking desks and management companies who need a defensible reason to deviate from last year's route.
Board-ready, lawyer-ready, trustee-ready. CSV, PDF, and JSON for ingestion into BI stacks. Methodology footnotes attached to every figure. The same numbers your investment committee will accept, formatted for the rooms where decisions get made.
Musicata Pro deploys under your brand. Your artists log into your domain. Your colours, your logo, your support contacts. The data layer, ML stack, and cross-reference engine are ours. The relationship is yours.
For organisations that need to present catalogue analytics as part of their own service line - major distributors, mid-tier labels, management consortiums - white-label is the default path.
An enterprise catalogue management platform for organisations overseeing multiple artists. Performance measurement, fraud monitoring, early discovery, geographic intent, and defensible reporting - all running on the same 1,200-point cross-reference engine.
Per artist, per month. Pricing scales with catalogue size; volume tiers are available for deployments above 1,000 artists. Enterprise contracts include onboarding, integration, and a dedicated account contact. Talk to us for a number.
Current deployments range from 50 to 15,000+ artists under management. The architecture is built for distribution-scale catalogues; the same data layer powers a fifty-artist label and a fifteen-thousand-artist distributor without architectural change.
Yes. StreamShield runs across the entire roster with prediction summaries, alert aggregation, and five-level integrity classification per artist (Clean, Suspect, Under Investigation, Suspended, Blocked). Investigation notes with audit trail. Feedback loop that improves accuracy.
Yes. Custom branding includes logos, colours, subdomain, favicon, and CSS. Five theme presets or fully bespoke styling. Your artists never see Music Intel - they see you.
Ten dedicated views per artist - Songs, Audience, Short Video, Charts, Playlists, Airplay, Concerts, Demographics, StreamShield, and a per-track SPX (Song Performance Index) breakdown. Cross-platform attribution showing which activity drove which result.
A briefing call. A signed engagement. Catalogue setup and integration configuration are ours; you provide the artist list and any existing identifiers. Most deployments are live within four weeks.
Briefings are conducted under NDA against your real catalogue, with your real artists. The first call is methodology. The second is what the data says about you.