Music discovery is ready for a change

MIIR finds impact in music, with novel song search and discovery technologies combining insights from musicology, neuroscience and engineering. MIIR finds the most impactful moments in songs, and the most impactful songs from within vast music catalogs.

To illustrate the problems MIIR solves, these day-in-the-life films show how MIIR influences music discovery and engagement.

Health & Wellness

THE PROBLEM

Music has proven value for health and wellness, but remains underutilized because personalized music selection--tailored for specific listeners' tastes and therapeutic aims--has been challenging to achieve.

THE FUTURE WITH MIIR

We envision a new era of enhanced music therapy music. Imagine MIIR’s impact-finding technologies curating an individualized musical experience for you, which reflects your specific musical tastes and supports your health and wellness goals.

Music Sourcing

THE PROBLEM

Sourcing music for a film or advertisement is time consuming and inefficient. Producers spend hours analyzing and listening to tracks while searching for music that perfectly fits their project.

THE FUTURE WITH MIIR

Imagine browsing catalogs of music, even deep tracks, quickly and efficiently, with songs uniquely categorized by impact.

Imagine editing your video visually with a music impact plot or timing your video edits to align with the most impactful moment of the song – amplifying the way music and picture connect for the viewer.

Content Creation

THE PROBLEM

Discovering the perfect music track for short-form content can be difficult. In-app music catalogs often feature many of the same songs, with poor previews and recommended sections that lack impact. Users are not always interested in trending songs; instead, they enjoy the surprise of finding tracks that perfectly fit their content.

THE FUTURE WITH MIIR

Imagine a search not limited by genre or popularity. MIIR enables discovery of music from deep catalogs including unknown and emerging artists.

Imagine if the recommended section of music was the most impactful moment in that song. The moment most likely to connect with listeners, increasing engagement with your content.

Music AI

THE PROBLEM

The emergence of AI poses a dual challenge. While AI can mimic human capabilities to a certain extent, its effectiveness relies heavily on extensive data training. Text-based AI, for example, can easily access vast libraries of books and articles for training. However, extracting features from music presents a significant challenge for AI.

THE FUTURE WITH MIIR

MIIR stands out from existing music datasets as not just another collection of data, but rather a data-gathering system. MIIR generates vast amounts of data, including unique data points not available elsewhere. Imagine MIIR data providing the essential learning and training materials needed for AI to understand music effectively. This distinct approach allows companies to leverage AI tools for analyzing and categorizing audio files.

Imagine harnessing AI's power for both analytical insights and creative generation, offering versatile solutions.

MIIR Data Visualized

MIIR extracts and analyzes the musical DNA of a song, plotting the song's impact as never seen before. Identifying sections most likely to give a listener The Chills.