As music usage expands across broadcast, digital, social, and on-site environments, the reliability of underlying infrastructure becomes critical. Capturing, processing, and preserving large volumes of music usage data requires a level of resilience comparable to that of a bank. SoundAware approaches this challenge with a robust, multi-layered architecture, ensuring that every second of music usage is consistently accounted for and can be translated into value.

At SoundAware, we sometimes say we are passionate about music, technology, and audio, yet operate with the discipline of a bank. How did that happen?

When taking a broader perspective, the comparison is quite natural. Through our technology, SoundAware safeguards value for rights holders, ensuring that music usage, wherever it occurs, is accurately captured and can ultimately be translated into revenue.

Music usage today takes place across a wide range of environments: traditional broadcasts, streaming platforms, social media, and on-site locations such as retail, hospitality, and events. Each of these environments generates large volumes of data that need to be captured and analysed reliably and consistently.

When we look at the SoundAware workflow, one concept stands out: resilience. Our infrastructure is designed to ensure continuity, consistency, and completeness across all these environments. We ingest content from multiple sources, including broadcast signals, digital streams, and on-site audio inputs. Reception and processing are distributed across multiple data centres, each operating independently yet synchronised. We deliberately diversify locations, power grids, and network connections to ensure stability under all circumstances.

In many cases, we receive the same source via multiple inputs, selecting the highest-quality signals for analysis. Each data centre runs multiple systems in parallel, with redundancy across hardware and network layers. Content is buffered locally and securely transferred to central storage, where it is stored in multiple locations and continuously synchronised. Additional backups are maintained externally.

All systems are monitored 24/7 through dashboards and automated alerts, ensuring immediate visibility and response where needed.

Within this infrastructure, Multilayer Music Recognition plays a central role. By integrating audio fingerprinting, melody recognition, lyrics matching, and Gen-AI music detection within a unified analytical framework, we ensure that music usage is recognised consistently across different types of content and environments. Where relevant, AI supports specific parts of the analysis, while human expertise remains indispensable for quality assurance and control.

In a complex and fast-moving media landscape, reliability and completeness are essential. Our architecture ensures that music usage data is captured and preserved with a high level of integrity.

This brings us back to the comparison with a bank. A financial institution safeguards transactions across multiple systems and channels. In a similar way, SoundAware safeguards the data that underpins music-related revenues across all environments where music is used.

Our customers rely on us to provide a complete and accurate foundation. Every second of music usage matters, and every second is accounted for.