Connecting AI, Humans, and the Physical World
Multimodal • Open Ecosystem • Super Intelligence
Try it nowThe MOSS model family for human-like interaction
Audio understanding model
An open-source audio understanding model for real-world applications, supporting speech recognition, speaker and emotion analysis, environmental sound and music understanding, audio captioning, time-aware QA, and complex chain-of-thought reasoning.
Speech synthesis models
A family of speech generation models built for production, supporting high-fidelity voice cloning, expressive conversational synthesis, environmental sound generation, and real-time streaming speech.
Synchronized audio-video generation model
MOVA is a multimodal foundation model that natively generates high-fidelity video and audio in sync. With realistic lip synchronization and context-aware sound effects, it supports immersive multimedia content creation.
Multi-speaker transcription model
A model that produces accurate transcripts, speaker identities, and corresponding timestamps together, for multi-speaker settings such as meetings, interviews, podcasts, film, and television.
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Mosi AI is dedicated to building Contextual Intelligence, redefining the next generation of human-AI interaction through multimodal foundation models. Here, you'll work alongside world-class engineers and researchers to push the boundaries of intelligent systems. The only limit isn't compute or data-it's your imagination for solving the next big problem.
