Entity
Description
  • Value proposition

    Niland is an AI startup offering high performance music search & recommendation engines to innovative music companies. We empower them with new search & recommendation capabilities. Our unique technology extracts meaningful information from your tracks and transforms it into actionable data. Each time our algorithms analyze audio content, they naturally learn and grow stronger.

    Headquartered in Paris, Niland was founded in 2013. For more information, visit http://niland.io/ or follow @nilandmusic on Twitter

    Music Similarity, Technology, Deep Learning, Machine Learning, Automated Music Search, Automated Music Analysis, and Playlist Generation

  • Original language

    Niland is a music technology start-up that enables companies to reach new levels of customer engagement, by enabling a deep understanding of music content and mood-aware solutions. We solve the music search and discovery problem by capturing all musical and emotional characteristics automatically from the audio signal. Years of research in Deep Learning and Machine listening algorithms are packed in our easy to use APIs. Our mission is to get the right songs, to the right user, at the right time.

    Headquartered in Paris, Niland was founded in 2013. For more information, visit http://niland.io/ or follow @nilandmusic on Twitter

Catalyst interactions
Catalyst TypeTweets Articles
OVHcloud
OVHcloud
IT services, Software Development
OVHcloud
IT services, Software Development
Not capitalistic
Partnership
Not event

17 May 2017


La French Tech
La French Tech
Media, Government Administration
La French Tech
Media, Government Administration
Not capitalistic
Partnership
Event

7 Nov 2014


Agoranov
Agoranov
Startup accelerator & VC, Technology, Information and Internet
Agoranov
Startup accelerator & VC, Technology, Information and Internet
Not capitalistic
Not partnership
Event

16 Jun 2017


Creatis
Creatis
Business Consulting and Services
Creatis
Business Consulting and Services
Not capitalistic
Not partnership
Event

11 May 2016


Social network dynamics
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