PatternSonix is a niche consulting firm with over 20 years experience focusing on the intersection between sound and AI.
We exist at the nexus of computational creativity and possess a unique balance between machine learning and art.
We have dedicated our lives to understanding how we process sound, merging machine learning expertise with a deep understanding of human sound perception.
We understand what is essential to the identity of a sound and can identify the patterns created by sound signatures. We offer hands-on collaboration with your data science team to help them create in a more effective way.
We also have experience seeing opportunities for machine learning to assist your business and understand the steps toward successful integration into your existing business structure.
Our Unique Offer
We are AI and computational creativity experts.
We are consultants who are experts at creating, detecting, defining, and codifying sonic identity that can be used for pattern recognition in sound, and music, generation, search, and matching applications.
We understand the science of sound.
We have a deep understanding of the power of audio and understand both generating and classifying sound. We know that sonic identity is key—anything that has sound involved can be understood and assisted by machine learning.
We’ve worked in machine listening since 2005.
We have a proven track record of creating AI technology that has appeared in everyone’s devices and has become a part of the large language models and music search/discovery algorithms we see today.
We can translate between stakeholders.
We know how to synthesize the objectives of the c-suite with the understanding, know-how, and creativity of the data science team to make next generation solutions to today’s business challenges.
Clio: Machine Analysis of Music Beyond Categories
Clio Music is a successful, venture-funded company we co-founded in the ’00s. As an early example of machine learning-driven music technology, we used our deep knowledge of musical patterns and grammar to create an expert system that analyzes and decodes the universal patterns that define musical identity and mood.
While the company used Clio mainly for music search and discovery, the technology has applications that range across the music industry, including sentiment analysis/matching, musical identity and mood, and forensic musicology.
PatternSonix is the creation of Alison Wilder and Dr. Greg Wilder, two trained musicians with deep computer science backgrounds who are experts at creating, detecting, defining, and codifying sonic identity that can be used for pattern recognition in sound, music, search, and matching applications for machine learning.
We have a deep understanding of the power of audio and the structure of music, and understand both generating and classifying sound. We know that anything that has a sound component can be understood and assisted by machine learning.
We have a proven track record of creating AI technology that has appeared in everyone’s devices and has become a part of the large language models and music search/discovery algorithms we see today. Our expertise caters to companies specializing in AI music generation, music production, recommendation systems, and audio detection, enabling us to create and innovate.
We are able to advise on sound and music-related machine learning projects, whether that’s coming in to help solve a problem or structure a project and make actionable recommendations to take it from idea to execution. We can assist you in spotting opportunities in your business where machine learning can be most effectively applied and help you avoid pitfalls along the way.
The intersection of sound and machine learning is a new frontier in the world of AI—it’s different from the large language models, and represents an enormous opportunity, if approached properly. We would love to talk to you about your projects, to see how machine learning can open doors into new areas for you and your business.
About the Founders
Alison is a musician, technologist and entrepreneur whose work focuses on music theory and cognition. Her graduate music work at Temple University and McGill University revolved around understanding repetition patterns in music, micro-timing, and the ways musical patterns relate to cognition patterns and tendencies. She is an active songwriter and music producer, and has spent her career working at the nexus of the arts and technology.
Dr. Greg Wilder
Greg is a music informatics and machine listening specialist and an Eastman-trained pianist and composer. Over the last 20 years he has co-founded a music tech startup (now part of TiVo), patented, designed, and built machine listening technologies, taught and presented lectures at numerous universities, assisted legal teams with musicological forensics, and collaborated with choreographers, filmmakers, theater directors and animators on stages across the globe.
Ready to talk about sound?
Yes, it is like dancing about architecture, but we like to do it anyway. We would be happy to set up a discovery call to discuss your idea or project. Shoot us your NDA and let’s set up a time to talk.