The story
It started with a question.
What we saw
We came from speech research at Google, where we spent years teaching machines to hear. The burden of understanding still fell on the listener: the learner replaying the podcast, the audience at the session nobody could afford to interpret, the patient nodding along to the doctor. The speaker, however willing, could not help all of them at once.
The question
Could speech itself adapt to the person listening, live, and still sound like the one speaking?
Our answer
We build adaptive speech intelligence that personalizes the listening experience, tailoring live speech to each listener in their own language or in simpler words at their level.
The speaker
We preserve the speaker's meaning, voice, and tone, removing only the barriers to understanding. When the microphone changes hands, the voice changes with it, so you always hear who is talking.
The room
Some rooms have rules about where the audio may go, and we build for them. If the audio must stay in the room, so must the interpreter. It runs on hardware you control, and you can inspect it where it stands.
The proof
We started with live speech because it is the hardest case. Interpret Cloud and Restate run unattended on a broadcast we do not control. We would rather you hear them than read about them.