Tone detection for voice agents.
ProsodyAI reads tone from live call audio, so your agent can adjust when a caller escalates, interrupts, or calms down — and so QA and compliance can start with the calls that actually need review.
The problem
Your stack already handles speech-to-text, the LLM, and text-to-speech. It knows what was said — not how the conversation is actually going. So agent tone doesn't change when a caller escalates, QA ends up picking calls at random, and compliance has to listen through full recordings to find the ones that matter.
What ProsodyAI adds
ProsodyAI plugs into your live audio stream, alongside your voice agent or telephony stack. It continuously reads how the call is going — stress, engagement, turn-taking, overlap — and when tone shifts, it tells your agent how to respond: soften, yield the floor, or change approach as a caller escalates or calms down.
When the call ends, the session is saved with a transcript and tone timeline lined up side by side. QA and compliance can start with the calls where something actually changed, instead of pulling a random sample from the queue.
Live and post-call, one platform
| During the call | After the call |
|---|---|
| Live audio streams straight in, no extra infrastructure | Every call saved to your dashboard, searchable by session |
| Tone and speaker turns update every few seconds | Review each turn with tone lined up against the transcript |
| Your agent gets steering cues the moment tone shifts | Upload a recording and get KPI predictions, alerts, and coaching recommendations |
| Speaker labels and interruption detection, live | Alerts when a call crosses the thresholds you set |
Under the hood
ProsodyAI runs on ProsodySSM, a state-space model trained specifically on speech prosody. It turns audio into continuous signals — engagement, stress, certainty, rapport, valence, arousal, dominance — in real time. On top of that, the API handles diarization, transcription, escalation prediction, and agent steering, so you don't have to build any of it yourself.
You integrate against a single API with your org's key. We run and scale the model infrastructure — you just stream audio in and act on what comes back.
Enterprise objectives
Define KPIs in the dashboard — CSAT, escalation risk, deal probability, compliance flags, whatever your org tracks. Live streams and uploaded recordings both return predictions against those KPIs: predicted values, threshold alerts, what drove the score, and suggested coaching actions. Report actual outcomes via the feedback API to improve predictions over time.
Who uses it
- Voice agent teams that need tone and instructions to adapt mid-call
- Contact centers routing QA to the sessions that escalated
- Sales orgs coaching on delivery, not just talk tracks
- Compliance teams prioritizing review from vocal signals, not full listen-through