Post by Transync AI

Introducing Transync AI 2.0 Models: Built for Real Conversations Real-time translation is not just about translating words quickly. In a live meeting, the hard part is continuity. People interrupt each other. Sentences are short. Speakers switch languages. Background noise gets in the way. Network conditions change. And in business conversations, a few seconds of delay or one mistranslated term can change the flow of the meeting. That is why we upgraded the Transync AI model lineup to Gale 2.0, Monsoon 2.0, and Jetstream 2.0. Each model is designed for a different real-world translation scenario: Monsoon 2.0 Our recommended default model for most users. It is built for professional meetings, classes, business calls, and most real-time translation scenarios. It supports 60+ languages, offers strong overall accuracy and speed, and works with AI Assistant keywords and context. Jetstream 2.0 Built for smoother continuity when the network is less stable. It currently supports Chinese, Japanese, and English, with a focus on stability, high accuracy, and fast response. For meetings where connection quality is unpredictable, Jetstream 2.0 helps keep the conversation moving. Gale 2.0 Designed for users in Mainland China who need faster response in daily conversations and quick translation. It supports Chinese, English, Japanese, Korean, and Russian, with good accuracy and stability. Gale 2.0 is optimized for speed, but does not currently support AI Assistant keywords and context. Together, these models improve translation performance across the situations that matter most in live communication: -Mixed-language conversations -Short sentences -Noisy environments -Irregular pauses -Natural interruptions -Business meetings, classes, demos, and cross-border calls For us, the goal is not just “faster translation.” The goal is to make multilingual conversations feel less fragmented, less delayed, and more natural. Because in real meetings, translation should not slow people down. It should help the conversation continue. Model guide: https://lnkd.in/gUHVQg6c