AI and music consulting

Customised music, audio and AI solutions by industry experts.

About us

At Melodrive, we’ve built an AI engine that automatically generates music for video games in realtime.

Melodrive Services is the consulting branch of Melodrive. By leveraging the Melodrive team, made up of PhDs and researchers, we bring the latest in music tech, audio and AI to the industry.

Melodrive Services operates on a consulting basis, selectively choosing to work on promising projects.

Our expertise

AI Music

Building intelligent applications that generate music autonomously.

Music information retrieval

Extracting information from music and audio sources.

Music and sound design

Creating adaptive soundtracks and audio effects for video games, VR and AR.

Machine learning

Developing computational models that learn and improve from a training data set.

Deep learning

Developing neural networks containing several layers of neurons that learn from experience.

Game and behavioural AI

Implementing agents that can perform complex behaviours in virtual environments.

What we do

AI strategy and training

Are you ready to enter the AI revolution?

  • Know about the AI space and the technologies involved
  • Identify the right opportunities for your business
  • Develop a long term AI and data strategy

We offer tailored learning content for your executives and technical team. Our effective AI strategies will accelerate your business.

Bespoke solutions

Intelligent applications are redefining music, audio and games.

  • Prototype music, audio and AI software solutions
  • Design intelligent algorithms for your business goals
  • Develop, implement, and maintain apps

We offer end-to-end bespoke music and AI solutions, delivering scalable, production-grade applications.

Generative music soundtracks

Leverage AI to create highly engaging soundtracks.

  • Conceptualise and design immersive music
  • Prototype and develop bespoke AI music solutions
  • Use our AI music engine to speed up the creation process

We build end-to-end generative music soundtracks, handling both the creative and technological sides.

We worked with

What our clients say of us

Our team has...

Built a music engine that leverages AI to generate music on the fly.

Developed an AI-driven sonic language system for virtual creatures.

Produced adaptive soundtracks for video games and VR applications.

Extracted information from massive musical datasets to build music algorithms.

Provided technical consultancy to top commercial music producers.

Facilitated workshops and training sessions in AI, machine learning and music.

Meet our interdisciplinary team

Valerio Velardo, PhD


Valerio is an AI and music researcher, composer, conductor, pianist and programmer. He earned a PhD in Music and AI from the University of Huddersfield. He developed mathematical and computational models to simulate the behaviour of music societies. Valerio also studied astrophysics, with a focus on complex systems and its applications in the social sciences.

Andy Elmsley, PhD


Andy is a machine learning expert, games developer, artist and musician and with a keen interest in human/AI interaction and co-creation. He earned his PhD from City University of London where he focussed on real-time expressive rhythm generation using deep learning. He also once conducted a robot orchestra playing the Dr Who theme tune for the BBC.

Cárthach Ó Nuanáin, PhD

AI music programmer

Cárthach is a musician, composer and engineer with over a decade’s experience in the industry, arts and academia. He holds a Ph.D. in Computer Music from Universitat Pompeu Fabra and an M.Phil. in Music & Media from Trinity College Dublin. He has created many prize-winning systems for algorithmic and assisted composition, and in a past life produced audio for numerous Triple A game titles with Microsoft Games Studios.

Trevor Rawbone, PhD

Music theorist

Trevor is a music expert with a PhD in music theory from Huddersfield University, focussing on music schemata and grammars. He is interested in aspects of music cognition and music representations, and has published and presented his work in various international academic journals. His research focusses on the development of music models and representations for use in AI music, and on the analysis of music datasets.

Christian Tronhjem

Sound designer & composer

Christian holds a masters in Electronic Music Composition from the Royal Academy of Music, Denmark with a special focus on Game Audio from DADIU. He has worked as composer, sound designer and sound engineer across different media from award nominated dance performances, short films, games and TV commercials, to mixing and mastering records and producing death metal, jazz and everything in between.

Get in touch

Would you like to explore opportunities in music, audio and games leveraging AI?

Drop us an email at