Real-time sentiment, on every breath.
Per-utterance scoring at 220ms median latency. Stream raw audio in over WebRTC, get back valence, engagement, and dominance — frame-aligned with the transcript.
Sentivox turns every call, meeting, and voice note into structured sentiment. Real-time pulse, speaker-level emotion, and the exact moment a customer's tone shifts — wired into the tools your team already uses.
Per-utterance scoring at 220ms median latency. Stream raw audio in over WebRTC, get back valence, engagement, and dominance — frame-aligned with the transcript.
Diarization fused with affect detection. Know not just what shifted but who shifted — agent or caller, host or guest.
Trigger workflows the second a customer's tone tilts negative. Webhooks, PagerDuty, Slack, or your own SDK.
English, Spanish, French, German, Portuguese, Italian, Dutch, Hindi, Japanese, Korean, Mandarin — code-switching aware.
Audio never leaves your region. Model weights never train on your data. Dedicated VPC available on Scale plans and up.
Catch a frustrated caller in seconds, not after the survey. Live coaching tips surface for agents the moment tone slips.
Re-listen to thousands of interview hours by emotion, not timestamp. Find the moment a participant lit up — across the whole study.
Flag aggressive, distressed, or coerced voices on social audio and gaming platforms. Tunable thresholds per community.
Score every demo. See where excitement peaks, where deals stall, and which talk-tracks land. Feed CRM in one webhook.
HIPAA-grade voice scoring for telehealth. Spot affective markers across longitudinal patient calls — without storing raw audio.
Auto-clip the most emotionally charged moments. Generate shorts, transcripts, and chapter art from one upload.
For builders, side projects, and one team.
For growing teams running production voice.
For platforms, contact centers, and regulated workloads.
Bring a handful of recorded calls to a 30-minute walkthrough and leave with real sentiment scores and a coaching read on your own reps — no setup, no model training on your data.