You are back in time, and you commission a song by a famous composer, such as Johann Sebastian Bach, to commemorate your child‘s birthday, your wedding day, or some other special occasion. That was a privilege only available to aristocrats for many, many years...
until now...

Commissioned Music

Throughout history, it has been common for rulers and governments to commission public art as a means of demonstrating power and wealth, or even for specific propaganda purposes.

In art, a commission is the hiring and payment for the creation of a piece, often on behalf of another. Art may be commissioned by private individuals, governments or businesses. For example, in classical music, ensembles often commission pieces by composers, where the ensemble secures the composer's payment from private or public organizations or donors.

Bach, Beethoven and many other composers used to write pieces commissioned by the wealthy and powerful.

Now, using artificial intelligence trained in classical and other styles, you can commission your own song for any occasion.

All the songs in the playlist below were composed and played with the assistance of our artificial intelligence - from covers to original songs.

Our artificial intelligence is allowing us to transform data into high quality, original musical expressions that evoke certain styles, customized to the user’s taste.

How it works

From knowing nothing about music to creating original songs in under 5 minutes

Create: Tell us what you like, and get your song

Join our site, download the app, and let us know your favorite styles of music . Our artificial intelligence will then create an original song that is great "out of the box," but can also be enhanced with just a few clicks.

Customize: Fine tune your song

Select your instruments, tempo, etc. Once you like your finished song, you choose a title and cover picture. We will then register your song using our exclusive blockchain technology and make it ready for distribution.
Distribute: Choose where your song will be played
You can choose social media outlets such as Twitter, Facebook, YouTube or SoundCloud, and streaming services such as Pandora, Spotify, Apple Music, Google Play, Amazon MP3s, and many others. You and your friends can now enjoy your creations online!

The algorithms behind were created in the summer of 2013: proprietary machine learning code for the creation of original music and visual art.


After demoing at Spotify, Bloomberg Beta, and machine learning groups in New York, San Francisco, and London, our proprietary code started growing and improving.


New ideas, more code. User feedback, more code. Now, with the collaboration of a few really smart people, super cutting-edge code, and deep neural nets running on stacks of CPUs and GPUs, the dream of bringing original, customized music to the public is becoming a reality.

The team
Lots of real practical experience in cool data projects
Luis M. Sanchez,
Founder, Data Scientist
Luis has over 20 years of experience in capital markets with emphasis on data science. Luis has held multiple senior data science roles for top-tier financial institutions, obtained his MBA with a Fulbright scholarship, and a BSc in engineering. After the collapse of investment bank Lehman Brothers, where he was a Senior Quant, he founded and became CEO of Ttwick, Inc. a startup whose assets were acquired by a hedge fund. He is the inventor of US patent 14/681,409: "Computerized Internet Search System and Method". He codes in Python.



Federico Emiliani,
Federico has been a programmer for more than 12 years, and has also been a professor of Computer Science at several educational institutions. Federico has worked as a freelance coder on numerous Internet projects, and has developed a large number of back-end applications as a result. Previously, Federico worked at Ttwick, a social media search engine, were he coded the company's first web crawling and caching system, as well as custom data visualization tools for certain applications.





Dr. David Cope,
David is an author, composer, scientist, and professor of music at the University of California, Santa Cruz. His primary area of research involves artificial intelligence and music. David is the inventor of US Patent #7696426:  "Recombinant Music Composition Algorithm and Method of Using the Same". David is also author of multiples books in the topic of Artificial Intelligence applied to creative arts, and cofounder and CTO Emeritus of Recombinant Inc, a music technology company based in Silicon Valley.





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