Tazo Labs

Your voice agent can get every word right and still get the call wrong. Introducing Tazo (@TazoLabs), an audio decision model for live voice agents. Speech in, decision out. Give it raw call audio, a text prompt and your options. It returns the calibrated probability for each option, directly from audio. • 70.9% vs 46.4% for STT + Jev on real production calls • Ranks #2 on audio intelligence benchmark (MMAU) • <200 ms model latency • First decision model tuned to run on streaming voice calls • Introducing “None of the above” option to handle out-of-scope and unsure states. API is live. Free credits for every new sign-up. Give your agent ears @ app.tazolabs.com See it in action below 👇

Introducing DECIDE: a benchmark for audio decisions in voice agents, in association with @bolna_dev A voice agent doesn’t just transcribe. It decides: speak or wait, route the call, pick a tool, switch language. Text can’t tell you if the caller sounded annoyed, interrupted, or talked over the agent. DECIDE tests exactly that, on real production calls. → 4,867 decision questions from 1,081 real agent-caller clips (3 to 25 seconds) → 32 tasks across 6 families: turn-taking, graph routing, tool decisions, language switching, caller emotion, business intent Direct-audio models and STT + text models (20 in total) are scored on the same questions, so you can see what audio actually adds, and what it costs in dollars and milliseconds. Submit your model endpoint and get scored; no invite needed. Website: benchmark.tazolabs.com/ Samples: huggingface.co/datasets/tazo…

Let your app choose the right model, tool, or action in near real-time with Decisions API, now available to all developers in public beta. The Decisions API makes decisions up to 10x faster than GPT-6 Luna through the Responses API.