Moshi AI vs Rightsify

Moshi AI is a speech-native conversational model from Kyutai, a Paris-based open-science research lab. Instead of chaining speech recognition, text generation, and text-to-speech, Moshi processes audio directly and holds full-duplex voice conversations with minimal latency.

Its multi-stream design runs separate channels for the user, Moshi's spoken output, and an Inner Monologue text stream that improves coherence. That setup lets Moshi listen and talk at the same time, handle overlaps, interruptions, and backchanneling like a real conversation rather than rigid speaker turns.

Moshi is built on Helium, a 7B language model, and Mimi, Kyutai's neural audio codec. Weights and inference code ship for PyTorch, Rust, and MLX, and you can try it in the browser at moshi-chat.kyutai.org. Researchers, voice AI developers, and anyone building real-time spoken interfaces will find the most value here.

Rightsify builds AI music products for businesses and AI developers. The company focuses on synthetic datasets, human-created music collections, and licensing tools that keep generated audio commercially usable.

Its BGM product delivers commercial-ready background music for physical locations like cafés, hotels, retailers, and wellness spaces. The pitch is custom, brand-safe music with predictable cost and no separate licensing fees for everyday business playback.

GramoSynth targets AI labs that need large-scale music and multimodal training data. Rightsify says it is built on a large licensed music corpus and helps teams scale dataset pipelines for model training.

Rightsify Group LLC is based in Pasadena, California. The platform serves both curated human-composed tracks and AI-generated content through a subscription model described in its terms of service.