Tazo listens to raw call audio and picks from options you supply, such as respond or wait, with a probability for each, so a voice agent can make turn-taking and escalation calls without waiting for a transcript.
Tazo Labs runs it as a hosted service beside an existing speech-to-text, LLM and text-to-speech stack, for uploaded files or live 16 kHz audio. Co-founder Naman Jain's launch post claims 70.9% against 46.4% for speech-to-text plus Jev on real production calls, second place on the MMAU audio benchmark and under 200 ms of model latency. There is no published method behind those numbers yet: the site's benchmark page returned 404 on 6 Nov 2026.
How you can use it
You can test Tazo in a phone assistant to make quick conversation decisions without waiting for full speech transcription. Your developer connects your phone stream to Tazo's service using an access key. You supply the audio alongside a clear list of choices, such as whether to reply immediately or keep waiting.
Tazo hears tone and pauses directly from the raw audio to score your choices. Keep in mind that the current service only answers one specific question per request. Its high accuracy claims also come strictly from the maker rather than verified public tests.