Brilliant outcomes through
technology enabled learning

Who are we?

Algorivm is an exciting new company developing groundbreaking education related artificial intelligence technology. We are working in collaboration with Queen Mary University London and its Centre for Digital Music, along with Edinburgh Napier University. Our shared goal is to push the boundaries of Artificial Intelligence and Machine Learning research for the benefit of musicians and music teachers of all backgrounds. We are creating truly groundbreaking technology and delivering outstanding educational outcomes.

Innovate UK Research Grant

Algorivm's aims were recently validated by winning the Governments highly competitive Innovate UK Smart Grant. Thousands of companies enter this highly competitive competition with only the most innovative applications achieving success. Algorivm was one of the 2% of successful applicants, scoring 9.3 out of 10 points on Innovation.

The project is game changing and represents an excellent use of AI technology. The innovation is of the highest technical merit.
Innovate UK Logo

The team

Working in collabortion with Queen Mary University London and its Centre for Digital Music, along with Edinburgh Napier University.

Click for bio's...

Adam Welch

Adam Welch

Chief Executive Officer

Adam is a graduate of the Musicians Institute and is a highly knowledgeable music educator. He has taught thousands of guitar lessons to primary and secondary school students, along with private students of all ages. He has also provided his music tuition expertise to music industry giants such as Marshall amplification, Korg and many others. Adam understands the human interaction element of music tuition is paramount. With that in mind, he founded Algorivm to push the boundaries of AI and Machine Learning to deliver outstanding outcomes for the benefit of musicians and teachers of all backgrounds.

Julian

Julian Box

Data Strategy Advisor

Julian is a seasoned technology leader with nearly 40 years of experience helping organisations streamline operations and drive efficiency through innovative applications of technology and digital transformation. A passionate advocate for over two decades, he has championed the strategic use of AI, data, cloud computing, and virtualization to deliver impactful business outcomes. Leveraging his deep expertise, Julian collaborates with AI and data-driven businesses globally, guiding them in harnessing emerging technologies to create value and achieve sustainable growth.

Charles Matcham

Charles Matcham

Chief Operating Officer

Charles is a Chartered Fellow of the Chartered Management Institute CMgr FCMI with a BSc Physics and a Member of the Institute of Physics MInstP. From within major IT companies, Charles has lead strategic initiatives and developed management portfolios with demonstrable success. Having acquired in excess of two billion pounds of new business in the past 20 years. His ability to manage strategic partnership delivery and innovation has driven and informed his business achievements. He has worked within major IT companies, including BT, Unisys, ACS, Fujitsu, CGI, and most recently KCom.

Jo Welch

Jo Welch

Project Management Office

Jo has over 20 years experience as a legal PA, 15 years of which were in a top London law firm where she worked in the fast paced corporate world. Jo runs Algorivm’s project management office where she is responsible for ensuring communication between team members, subcontractors and academic partners run smoothly.

Dr Callum Goddard

Dr Callum Goddard

AI Development

Callum, PhD, FHEA, is a lecturer at Edinburgh Napier University (ENU) with over 10 years of research and teaching expertise in AI applied to audio, music and creative tasks. He has previously worked with Algorivm on developing their Proof of Concept system as well as collaborating with Huawei on multi-instrument music transcription. He is currently working as part of a research team at ENU collaborating with Algorivm to develop a screen free interface for performance feedback. As part of Algorithm, Callum is consulting on dataset creation, AI integration and performance feedback.

Hannah Megeary

Hannah Megeary

Piano and Violin Datasets

Hannah is a professional teacher, accompanist, and performer with a passion for making music accessible, inclusive, and engaging. She holds a Bachelor of Music (Honours) in Classical Piano Performance and a Master’s degree in Music Psychology. Her extensive experience as a session musician spans chamber ensembles, bands, and, most notably, a multi-award-winning short film. In addition to piano, Hannah is also an accomplished violinist. Now focusing primarily on education, she brings her expertise in music psychology and pedagogy aiming to provide high-quality, effective, and contemporary instruction.

Joe Garrett

Joe Garrett

Dataset Manager

Joe is an Academy of Contemporary Music graduate and guitar instructor with over a decade of professional experience. He has also dedicated several years to the music industry as a songwriter and producer. 2016, he achieved global recognition with the number-one single “Pillowtalk” by Zayn Malik, which subsequently led to a publishing agreement with BMG. With experience in both and education, he brings a unique blend of knowledge to Algorivm. Joe is responsible for dataset management and liaising with Algorivm’s musicians, ensuring we have high quality training data.

Nick Manners

Nick Manners

Guitar Datasets

Nick is a graduate of the Academy of Contemporary Music. He is a talented guitarist, teacher and has helped many guitar students from all backgrounds reach their musical potential, teaching both privately and in primary and secondary schools. He has years of live playing experience ranging from musicals to rock bands. Nick role is to help develop and train our AI by creating guitar datasets for Algorivm.

Rozii

Introducing...

Practice really can
make perfect

How it works

Our rozii system listens to the musician and provides visual and verbal feedback on key aspects of the performance to radically improve the teaching and learning of a musical instrument.

  • The user uploads their digital sheet music manually or by taking a photo of their chosen musical score
  • This is converted into digital music notation.
  • The user then and performs the musical piece.
  • Algorivm transcribes their performance and compares it to the original sheet music.
  • Our cutting-edge Machine Learning technology then compares the user's transcribed performance to the original notation.
  • Important musical feedback and an accuracy score is then presented back to the user.
  • The system also provides a hands-free user interface and feedback, this is an invaluable aid for visually impaired users and creates a much more rewarding user experience.

Our vision

It is important to highlight that we are not trying to use AI technology to replace the human aspect of learning or teaching an instrument, quite the opposite:

Benefits for Music Teachers

Algorivm will assist teachers to gain more insight into their students' development and therefore offer more informed guidance to help their students improve.

Benefits for Students

Music students will have a practice tool that provides detailed feedback on their performances when practising. The hands-free element of our user interface will also be a unique and fun way to interact with Algorivm making it a fun and enjoyable experience, encouraging students to practice more and with improved results.

User Trial

A part of our Government funded project includes a user trial to be carried out in schools. We are looking for schools and 30 Guitar, 30 Piano and 30 Violin students to take part.

Rozii

Contact us

If you need further information, please get in contact with us and we'll be happy to help.