A Family Vision
PyTune is an independent initiative driven by deep technical expertise, scientific rigor, and a long-standing passion for the piano — designed to build a lasting platform for acoustic intelligence.
The Team
Gabriel de Fombelle
Founder
Gabriel is the creator and sole builder of PyTune, leading the vision, architecture, and execution across the entire platform — from AI and acoustic science to software engineering and product design. His work builds on decades of hands-on experience in artificial intelligence, signal analysis, and complex systems. Deeply passionate about music, he plays several instruments including guitar, Hammond organ, and bass, has composed music, and has a strong grounding in theory and harmony, with a particular affinity for jazz.
Dr Gregory Jevardat de Fombelle
Scientific Advisor
Gregory holds a PhD in computer science and brings strong experience in scientific software, large-scale data processing, and research-grade engineering. His background is especially valuable for PyTune’s scientific direction, helping strengthen the analytical framework, software rigor, and research perspective behind the platform.
Marie de Fombelle
Communication, Strategic Positioning & Media
Marie is co-founder of OpnLab and contributes to PyTune’s communication, positioning, and media strategy. Her perspective helps shape how the platform is presented with clarity, consistency, and impact across audiences.
Charlotte de Fombelle
Data, Analytics & Product Insight
Charlotte contributes perspective on data, analytics, and product insight, helping inform how PyTune can evolve with clarity, measurable signals, and real-world usage in mind.
Nicolas de Fombelle
Systems & Network Engineering
Supports infrastructure and system administration on selected aspects of the platform, while also bringing strong experience in user support and customer service.
PyTune is not a short-term project — it is a long-term, deeply engineered platform at the intersection of AI, acoustic science, and real-world instrumentation. Built with rigor, precision, and persistence, it aims to define a new standard for how acoustic instruments are understood, analyzed, and serviced.
A long-term vision — built to last.
Vision & Direction
Identify
Build the most advanced AI-assisted system to identify, understand, and document acoustic pianos from minimal input — images, sound, or partial data.
Diagnose
Develop a scientific and accessible diagnostic layer capable of analyzing tuning, inharmonicity, and acoustic behavior — bridging professional expertise and AI.
Tune
Deliver a new generation of intelligent tuning assistance, combining real-time signal processing, adaptive models, and guided workflows for both professionals and individuals.
PyTune is designed as a unified system where identification, diagnosis, and tuning continuously reinforce each other — creating a data-driven understanding of acoustic instruments at scale.