SciTransfer
FuturePulse · Project

Predictive Analytics Platform That Tells Music Companies What Their Audience Wants Next

digitalPilotedTRL 7

Imagine you run a music label and you're trying to figure out which song to push next, or a concert promoter wondering which artist will fill seats in Madrid next summer. Right now, you're mostly guessing based on gut feeling and patchy sales data. FuturePulse built a platform that pulls together streaming numbers, social media buzz, radio plays, and sales data, then uses machine learning to predict music trends before they happen. Think of it as a weather forecast for the music business — instead of rain or sunshine, it predicts what people will want to listen to next.

By the numbers
3
High-impact pilot use cases (Record Labels, Live Music, Online Platforms)
EUR 2,249,150
EU contribution for platform development
9
Consortium partners across 5 countries
78%
Industry participation ratio in the consortium
5
SMEs in the consortium including the coordinator
38
Total project deliverables produced
7
Demo deliverables including final platform and applications
The business problem

What needed solving

Music companies — labels, promoters, streaming platforms — are drowning in data from dozens of sources but lack the tools to turn it into actionable predictions. They cannot reliably forecast which artists will trend, which releases will perform, or how audience preferences are shifting until after the fact. This means wasted marketing budgets, missed signings, and booking decisions based on instinct rather than evidence.

The solution

What was built

A web-based predictive analytics platform with APIs that combines streaming data, broadcast monitoring, sales statistics, and social media signals to forecast music trends. The final platform includes a music content analysis engine, visual analytics dashboards, and recommendation services, delivered through 3 iterative versions and tested in 3 pilot use cases (record labels, live music, online platforms).

Audience

Who needs this

Record labels and music publishers looking to make data-driven A&R and marketing decisionsConcert promoters and festival organizers needing to predict artist demand and ticket salesMusic streaming platforms wanting better recommendation engines beyond listening historyMusic rights management companies tracking content across broadcast and digital channelsArtist management firms seeking data-backed career strategy tools
Business applications

Who can put this to work

Music Labels & Publishing
any
Target: Record labels managing large artist catalogs

If you are a record label struggling to predict which releases will gain traction — this project developed a predictive analytics platform tested across 3 use cases that combines streaming data, social media discussions, and sales statistics to forecast audience preferences. The platform was built with 7 industry partners and piloted specifically for the record label use case, helping A&R teams make data-driven signing and promotion decisions.

Live Entertainment & Events
mid-size
Target: Concert promoters and festival organizers

If you are a live music promoter trying to book the right acts for the right venues — this project built visual analytics tools that track artist popularity trends across multiple data sources. Developed and tested in a dedicated live music use case with input from 9 consortium partners across 5 countries, the platform helps predict ticket demand and optimize lineup decisions before committing budgets.

Music Streaming & Digital Distribution
enterprise
Target: Online music platforms and streaming services

If you are an online music platform competing for listeners with better recommendations — this project created a music content analysis engine with recommendation services that go beyond simple listening history. Tested as one of 3 dedicated pilot use cases, the platform analyzes music content itself alongside social signals and consumption context to surface tracks users actually want to hear.

Frequently asked

Quick answers

What would it cost to license or deploy this platform?

The project received EUR 2,249,150 in EU funding and was coordinated by BMAT Licensing SL, a commercial music technology company. Licensing terms would need to be negotiated directly with BMAT or the relevant consortium partners who developed specific modules.

Can this scale to handle millions of tracks and users?

The platform was designed for commercial music industry use cases including online music platforms that handle large catalogs. With 7 industry partners involved in development and 3 distinct pilot use cases (record labels, live music, online platforms), the system was built with real-world scale in mind. Based on available project data, specific performance benchmarks would need to be confirmed with the consortium.

Who owns the IP and can I license specific components?

The consortium of 9 partners across 5 countries jointly developed the platform. BMAT Licensing SL, the coordinator, is a Spanish SME specializing in music licensing technology, making them the likely primary contact for IP discussions. Individual components like the music content analysis engine or visual analytics module may have separate IP arrangements.

How does this integrate with existing music industry tools and data sources?

FuturePulse was built with APIs and a web-based interface, as documented in the deliverable covering the platform and APIs. The system was designed to ingest data from broadcasters (TV, radio), streaming services, sales statistics, and social media — suggesting it can connect to standard industry data feeds.

What's the current status — is this ready to deploy?

The project closed in November 2020 after delivering a final platform version and completing all 3 pilot use cases through multiple iterations (v1, v2, v3). As an Innovation Action with 78% industry participation, it was designed to be close to market. Current availability depends on whether BMAT or other partners have commercialized specific components since the project ended.

What kind of data do I need to feed this system?

Based on the project objectives, FuturePulse ingests streaming data, broadcast monitoring (TV and radio), sales statistics, and social media discussions and interactions. The music content analysis component also processes the audio content itself. Your existing data sources from distributors, DSPs, and social platforms would likely be compatible.

Is this only for the European market?

The consortium spans 5 countries (Belgium, Greece, Spain, France, Sweden) but the platform was designed for the global music industry. BMAT, the coordinator, already operates globally in music monitoring and licensing. The analytics and prediction capabilities are not region-specific.

Consortium

Who built it

The FuturePulse consortium is strongly industry-driven: 7 out of 9 partners are from industry (78%), with 5 being SMEs, and only 2 research organizations — no universities at all. This is a clear signal that the project was built for commercial application, not academic publication. The coordinator, BMAT Licensing SL, is a Spanish SME already active in music licensing technology, which means there is a natural path to market. The 5-country spread (Belgium, Greece, Spain, France, Sweden) covers major European music markets. For a business looking to adopt this technology, the high SME count and absence of purely academic partners suggest practical, market-oriented outputs rather than theoretical research.

How to reach the team

BMAT Licensing SL is a Spanish SME specializing in music technology. They are the project coordinator and most likely point of contact for licensing or partnership discussions.

Next steps

Talk to the team behind this work.

SciTransfer can connect you directly with the FuturePulse team at BMAT Licensing and help you evaluate which platform components fit your specific music business needs. We handle the introduction so you skip the cold outreach.