Not just the words. The voice, tone and meaning too.
We built a live translation platform for broadcast and enterprise events — translating speech across 120+ languages in under two seconds, while preserving the speaker's vocal identity, tone and emotional emphasis.
The platform runs six proprietary foundational models simultaneously, processing not just words but tonality, sentiment, facial expressions and video context in real time.
Live translation existed. But it stripped out everything that wasn't words.
Every real-time translation solution available produced output that was technically correct and emotionally flat. The speaker's urgency, warmth, authority or humor — all of it disappeared in the translation. For broadcast events, investor calls and multilingual conferences, that loss was unacceptable.
The engineering challenge wasn't translation speed. It was preserving the vocal character of the original speaker — across languages, in real time, without a human interpreter.
Six models running simultaneously. One speaker's voice, any language.
Broadcast-Grade ASR Foundation
High-accuracy automatic speech recognition engineered for broadcast-quality audio — handling accents, pacing variation and background noise without degradation.
Tonality & Sentiment Processing
A dedicated model layer analyses tone, sentiment and emotional emphasis in parallel with transcription — so the output knows not just what was said, but how.
Facial Expression & Video Context
Visual context feeds into the model stack alongside audio — giving the system additional signal to resolve ambiguity and preserve speaker intent.
Custom Neural Vocoders
Speaker-specific vocoders reconstruct the translated output in the original speaker's vocal character — not a generic text-to-speech voice, but a close approximation of the speaker themselves.
Sub-2-Second End-to-End Pipeline
All six model layers run in under two seconds from speech input to translated audio output — fast enough for live broadcast without perceptible lag.
120+ languages. Under two seconds. Tone intact.
Languages, Live
Real-time translation across more than 120 languages — from a single pipeline with no per-language configuration.
End-to-End Latency
From the speaker's last word to translated audio output — fast enough for live broadcast without perceptible delay.
Proprietary Models Simultaneously
Tonality, sentiment, facial expression, ASR, translation and vocoding — all running in parallel, every time.