Kharivox is not just an artist — it is a fully autonomous AI music pipeline. From lyric compliance to 432Hz DSP mastering to global distribution: zero human editors. Pure systems engineering through music.
Every album born from prompts, shaped by DSP physics, and distributed by automation.
A 5-stage autonomous pipeline. No studio. No editors. No delays.
Genre fusion, lyric compliance filters (copyright, moderation, vocal engine), and artist vocal identity are crystallized into machine-readable prompts via Claude/Gemini orchestration.
Multi-model AI generation via Suno workspaces, with swarm QA to evaluate vocal quality, hook strength, and sonic coherence across the full album arc.
Python-based 3-pass pipeline: ebur128 measurement → 432Hz frequency retuning + EQ + compand render → linear LUFS correction. Zero dynamic loudnorm. True peak ≤ −1.0 dBTP.
8-layer Creative Director methodology producing 3000×3000 PNG covers. AI-upscaled via Real-ESRGAN. Genre-coherent visual identity per release.
Custom Chrome Extension injects typed JSON metadata directly into the DistroKid DOM — track metadata, WAV file matching, AI disclosure, Apple credits. Zero manual entry.
The JSON schemas and logic architecture behind this pipeline are publicly documented on GitHub.
Kharivox is engineered by Sérgio Peixoto — an AI Systems Architect and Multimedia Producer based in the Azores, Portugal. With 14+ years spanning traditional design and cutting-edge AI orchestration, he built Kharivox as a living proof-of-concept: a fully autonomous music entity that scales infinitely without scaling the team.
Every album released by Kharivox is the product of multi-model AI swarms, custom automation scripts, and a deeply engineered system of checks and constraints — all operating within Antigravity, a personal OS managing 16+ active production domains simultaneously.