Synegram provides a visualization platform that translates music theory into geometric shapes, making harmonic relationships and compositional principles intuitive. Its AI companion offers real-time feedback and personalized insights, empowering musicians to move beyond rote learning towards creative music-making.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional music education often relies on abstract theoretical concepts and rote memorization, making it challenging for learners to intuitively grasp harmonic relationships, melodic structures, and compositional principles. This disconnect between theory and practice can hinder creative expression and skill development for musicians of all levels.
Solution
Synegram offers a visualization technology platform that translates musical elements into geometric shapes, providing a visual language for understanding music theory. By mapping the 12-note scale onto a circular interface, users can visually perceive intervals, chords, and melodies, fostering a more intuitive comprehension of harmony and composition. The platform integrates a semantic AI companion that delivers real-time feedback and personalized insights, enhancing the learning process. This approach aims to empower musicians to move beyond rote practice towards confident, creative music-making by making complex musical concepts accessible and logical.
Target Audience
The platform targets professional musicians, composers, educators, and music students seeking innovative methods to understand, create, and perform music.
Features
- Geometric visualization of the 12-note musical scale, representing intervals, chords, and melodies as shapes.
- AI-powered companion providing real-time feedback and interactive visualizations for skill refinement.
- Integration of natural language processing and gamification elements to enhance music understanding.
- Synesthetic approach to learning, leveraging visual thinking and the blending of senses to deepen comprehension.
- Development of a suite of tools including a standalone app, DAW plugins (VST), and a virtual instrument.
- Collaboration with LIMOS to advance AI Companion and Machine Learning Layer (MLL) for personalized feedback.