Imagine you're listening to the radio but instead of just sitting there, you can chat with the show, vote, send questions — through any app you already use. The radio station sees all of that in one dashboard and an AI helps them respond automatically. MARCONI built exactly that: a set of tools that lets radio stations merge their live broadcast with social media, texts, and web interactions so every listener gets a more personal experience. They tested it with real broadcasters and real audiences across Europe.
Radio stations are losing audience engagement because listeners now interact through dozens of digital and social media channels that don't connect to the broadcast workflow. Radio producers lack unified tools to manage these interactions, and manually processing audience messages across platforms is too slow and labor-intensive. The result: missed engagement opportunities and listeners who drift to purely digital media.
The project built an integrated platform for interactive and personalized radio that merges live broadcast with digital and social media channels. Key components include AI services for automated processing of audio, text, and social media posts, a unified dashboard for radio-makers to view all audience interactions, and interaction automation tools. These were validated through two rounds of piloting with real broadcasters and audiences.
If you are a radio broadcaster struggling to keep listeners engaged beyond the FM dial — this project developed an integrated platform that merges live broadcast with social media and digital channels. It uses AI to automatically process audience messages, audio, and social posts so your team can manage interactions from one dashboard instead of juggling 10 tools. Piloted with real broadcasters across 6 countries.
If you are a media agency looking for richer audience engagement data from radio campaigns — this project built tools that capture listener interactions across multiple digital channels in real time. That means you can measure how audiences actually respond to radio content, not just estimate reach. The system was tested in large-scale pilots with real listener communities.
If you are a media-tech company providing radio production software — this project created AI-based automation services for processing audio, text, and social media posts that integrate into existing radio workflows. A radio redaction solutions provider was part of the 10-partner consortium specifically to ensure smooth integration with real operational systems.
The project data does not include specific licensing or implementation costs. Since the consortium included a radio redaction solutions provider and 3 SMEs, commercial pricing models were likely explored during the project. Contact the coordinator for current licensing terms.
Yes. The project specifically organized large-scale pilots with real broadcaster communities. The piloting deliverables report on both functional prototyping and open piloting activities, indicating the system was tested at meaningful audience scale.
IP is shared among the 10-partner consortium across 6 countries. As an Innovation Action (IA) funded project, results were designed for market exploitation. Contact the consortium coordinator or individual technology partners for licensing discussions.
Integration was a core design goal. The consortium deliberately included a radio redaction solutions provider to guarantee smooth integration with real operational workflows. The platform was built to work with existing broadcast infrastructure.
Several consortium partners focused on AI to automate processing of audio-visuals, text, and social media posts. This includes automated audience interaction handling and experience personalisation, allowing radio-makers to manage engagement without manually monitoring every channel.
The project completed in March 2020 after conducting large-scale pilots. Based on the piloting deliverables, both functional prototyping and open piloting were completed. The technology reached a piloted stage, though current availability depends on what consortium partners have commercialized since project end.
The 10-partner consortium spans 6 countries (AT, BE, CH, DE, NL, UK) with a mix that includes 2 universities, 1 research organization, and 7 industry/other partners including 3 SMEs. The coordinator is VRT, the Flemish public broadcaster in Belgium — meaning the technology was developed and tested by people who actually make radio. The inclusion of a radio production software provider ensures the tools fit real workflows, not just lab demos. With broadcasters running large-scale pilots with their own audiences, this consortium was built to move technology from lab to market.
The coordinator is De Vlaamse Radio en Televisieomroeporganisatie (VRT) in Belgium. Use SciTransfer's contact service to get a warm introduction to the right person on the MARCONI team.
Want to explore how MARCONI's interactive radio technology could work for your media business? SciTransfer can connect you directly with the team that built and tested it.
