Mission
Cognitone's intelligent tools help you develop musical ideas from scratch and put them to life in new and surprising ways.
With us, you're supported by AI on an equal footing, instead of being at the mercy of a disrespectful AI. You retain full control and all the freedom to follow your spontaneous inspirations. In the end, you've actually created something yourself that no one else could have created.
We respect and promote individual creativity and are very opposed to the exploitation and destruction of human culture by disrespectful AI start-ups.
Music Prototyping
Leave behind the static confines of a DAW or a music notation program. Build your music from dynamic elements that you can change or replace at any time. With only a few clicks, you can make profound and dramatic changes that would usually take hours or days. Now you can hear them immediately and choose with fresh, unbiased ears. No more settling for mediocre compromises just because starting over would be too tedious. You can do anything now. Anytime.
Our technology uses symbolic AI for pattern recognition, classification, harmonic analysis, rule-based synthesis, and an algebra for the transformation of musical expressions. Look-ahead processing allows near real-time operation. This means that musical material from a wide variety of sources can be combined and arranged freely.
Company
Cognitone, based in Hamburg, Germany, was founded by André Schnoor, a computer scientist specializing in AI (artificial intelligence) and a musician himself. More than 20 years ago, he developed important foundations for the technology used today, which is constantly evolving. Cognitone focuses on the use of AI to support the composition of music.
Our Pledge
Cognitone has been building symbolic AI long before the advent of LLMs, transformers, and diffusion models. We oppose the non-consensual and disruptive use of generative AI. Synfire does not generate songs or arrangements based on other people's music. We are committed to helping you create your own distinctive music, not the millionth variation of a statistical average.