Instrumental Listens to 30,000 New Songs a Day to Find the Next Hit. So Why Do We Need A&R People, Again?

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Instrumental listens to a staggering 30,000 new songs daily to find a winner.  Will that kill the time-honored tradition of A&R?

Once upon a time, label A&R execs would scour smokey clubs to find the next superstar.  Guess the robots have completely replaced that job function.

To find the next superstar, a startup known as Instrumental listens to thousands of songs every single day.  And they’re not hiring hundreds of people to do it.

You guessed it: Instrumental uses machine learning to discover emerging talent.  The company is targeting the music and entertainment industries, and aiming to analyze a portfolio of indicators to pick the next breakout.

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TalentAI, an online scouting tool, is the propriety platform of the company.  It’s being pitched to music publishers, book publishers, record labels, promoters, and a select number of consumer brands.

Basically, this AI weapon monitors billions of data points each day from sources such as Spotify and social networks.  Accordingly, the data gathered delivers trending intelligence on the music and entertainment industry.

30,000 might seem a humongous amount — but TalentAI says it’s a piece of cake (with thousands of little crumbs).

The UK-based A&R data platform has recently added $4 million in funding.

London-based Blenheim Chalcot led the negotiations.  The round also included ex-CEO of MTV International Bill Roedy.  The fund will be mainly used to expand TalentAI.

The round closely follows Warner Music Group’s acquisition of A&R  insights startup Sodatone.  Guess WMG is also betting big that data and machine learning will make a big difference in who gets tomorrow’s best-performing stars.  Indeed, well-tuned algorithms could differentiate the winners — and make a difference in how label resources are allocated.

Actually, it now appears  that Warner Music Group will move its A&R monitoring functions to its newly acquired Sodatone music data platform.  Similar to TalentAI, Sodatone combines streaming, social and touring data with the power of machine learning.

Other critical metrics include loyalty and engagement among early followers.

Oh, there’s one metric that won’t be used by either platform: an A&R guy saying, ‘this is cool’.

 


 

 

2 Responses

  1. mac the knife

    Anybody who knows anything about A&R has to be aware that picking future stars and hits is about more than the music. It’s a very complex social, cultural and psychological, historical and geographical mix of variables that maybe one day machines will have some success with. But for now, it’s way too complex for machines. Then, there is the question of who in the record company deploys the machine? It won’t be the A&R Dept and it won’t be the FDO until he’s seen it proven.. and that won’t happen with this tool because we’re not there yet with AI this advanced. As an investment play, it’ll make a few people some money. But it is the start of something. Probably as an aid to A&R. Even then, there are two factors to consider. 1) People in the music business love to pick the artists and the hits: It’s the fun part of the biz. 2) There is always the nagging thought that the machine will miss another Beatles or Rolling Stones or Kendrick 🙂