MediMuse

MediMuse, a research-led startup pioneering biometric-to-music conversion, needed to transition its local, developer-centric plugin authoring setup into a scalable cloud environment. The original infrastructure, which relied on local volumes and manual command-line sequences on a single workstation, hindered collaborative authoring.

To support expansion to diverse biosignals, they required a robust strategy to automate signal-conditioning insights, enforce strict DSP code-generation templates, and establish a multi-user platform accessible to non-C++ domain experts.

Premier Cloud built an automated AI-driven pipeline on Google Cloud Platform that transforms raw EEG brainwave data into expert-validated C++ digital signal processing plugins. Powered by Gemini on Vertex AI, the multi-agent system evaluates signal metrics, strict template enforcement to generate reliable code, and containerized Cloud Run sandboxes with automated cpack packaging to compile and test builds.

 An automated grading engine verifies well-formedness and audio viability, while a dedicated review dashboard lets domain experts audition the generated audio/MIDI artifacts and provide feedback.

By migrating to a cloud-native, multi-agent pipeline, MediMuse has successfully decoupled algorithm design from C++ compiler operations. Clinicians, music producers, and wellness researchers can now easily direct complex plugin generation via the web interface. The automated sandbox and multi-stage grader ensure all produced algorithms strictly protect MediMuse's core IP, laying the technical foundation for future Gemini Agent Marketplace distribution.