Musical AI

Musical AI, also recognized under its former name Somms.ai, operates at the intersection of artificial intelligence and the music industry. The company was co-founded by Gregoire Mialet and Amaury Martin. Mialet's background includes experience at Universal Music Group, where he focused on strategy and innovation, providing him with deep insights into the music sector's challenges and opportunities. Martin brings a strong technical foundation to the venture, with a history as a lead data scientist and experience in building AI-powered products.

The firm's primary offering is an AI-driven platform designed to support A&R (Artists & Repertoire) and talent scouting processes. This tool analyzes a vast array of data points from various social media platforms and music streaming services to identify emerging artists and predict their potential for success. By processing over 10 billion data points daily, the system can detect early signals of traction and viral trends, enabling music labels and publishers to discover promising talent ahead of the curve.

The business model is centered on providing data-as-a-service to clients within the music industry, such as record labels, music publishers, and other talent management organizations. These clients subscribe to the platform to gain access to actionable intelligence, which helps to de-risk their investments in new artists. The service provides detailed analytics and visualizations, allowing A&R professionals to track an artist's growth trajectory, audience engagement, and overall market momentum in real-time. This data-centric approach aims to make the traditionally intuition-based process of talent discovery more efficient and evidence-backed.

Keywords: music analytics, talent scouting, A&R, artist discovery, artificial intelligence, music data, predictive analytics, music industry, data-as-a-service, emerging artists