Welcome to FeedForward.
We are a team of creative AI technologists who build AI to support and enrich the human experience.
Our vision is to use AI to enable & augment human creativity. We do this by solving real-world problems in the creative industries.
We don’t believe in hype.
With all the noise around AI, it can be hard to know what is relevant for your business. We don’t believe that any solution is going to immediately solve all your problems. We believe that AI is most valuable when it is useful. We aim to enrich the human creative process through solving problems in existing creative workflows and making useful tools for creatives.
We don’t believe AI is “intelligent”.
Words such as “artificial intelligence” and “machine learning” have erroneous connotations of human-level critical thinking. AI technologies such as neural networks & deep learning require human experts and businesses to work together intelligently in order to achieve meaningful outcomes.
We do believe the technologies behind AI are powerful.
Applied in the right way to relevant problems and good data, AI technologies can achieve things that have not been possible before, and make a real difference to your business.
We do believe in a strong relationship between industry & academia.
We believe that exciting & useful things happen when cutting-edge research meets everyday problems & dreams. We maintain strong links with the academic community - our co-founder Kevin Webster is an Honorary Research Fellow in the Mathematics department at Imperial and teaches the PhD course on Deep Learning. We believe that a multi-disciplinary approach and diverse teams are required to find the most innovative and useful applications of AI.
We do believe that successfully implementing AI requires a partnership.
Achieving success with AI technologies involves identifying the right business problems and applying the technology iteratively. With deep knowledge of current research and technologies, we are the bridge between the creative industries and the possibilities of machine learning.
meet The team
Kevin is an Honorary Research Fellow in Mathematics at Imperial College London, where he specialises in Deep Learning. He completed his PhD in dynamical systems at Imperial College London and his research experience includes postdoctoral positions at Imperial College, a Marie-Curie Fellowship. He is currently teaching the PhD deep learning course in the Mathematics department at Imperial College London.
Prior to founding FeedForward, he was Head of Research at Jukedeck where he led the team applying machine learning to music composition. He also spent 9 years as a professional musician, during which time he was Head of Keyboard & Applied Musicianship at BIMM (then Tech Music Schools). He was also a pianist, organist, composer & arranger, performing with his own trio and a range of artists for concerts & recording sessions.
Kevin has a particular interest in generative modelling using modern deep learning algorithms, especially applied to sequence modelling tasks such as music generation and audio synthesis. He also has expertise in using machine learning and deep learning models as part of music recommendation systems. His passion is in applying machine learning to the creative sphere.
Read more about Kevin’s research here
Check out Kevin’s deep learning course at Imperial College London: deeplearningmathematics.com
Lydia’s experience and interest spans music, technology & business.
After studying Music at Oxford University, she joined Accenture as a management consultant aligned to technology & financial services, where she worked on delivering technical solutions & data migration projects.
She has worked in early-stage music companies, including as Head of Growth at Jukedeck, where she led the team to win awards such as Cannes Innovation Lion 2016 and BIMA Startup of the Year 2017.
Lydia has been active in music as a classical singer, touring globally including to China, Japan, Israel & the USA. She has sung on critically-acclaimed recordings released on labels such as Hyperion and Naxos, and performed in many ensemble concerts.
She regularly speaks on topics including the relevance of machine learning to the real world, debunking A.I., and building inclusivity into technology. She is particularly interested in using technology to enable human creativity and in the application of machine learning to art and sound. She is a member of the BIMA A.I. Think Tank and a fellow of the RSA, and has recently completed a Postgraduate Certificate in Data Science at University of London, Birkbeck College.