AI Sentiment Analysis
Every conversation, scored for tone.
AI sentiment runs on every interaction, calls, chats, SMS, email. Each gets a live tone score, threshold alerts, and a searchable tag attached to the record.
Connecting to live feed⬦
What you can do with it
Supervisors can jump in before the call is lost.
Review what matters most, not a random sample.
Prove the link between tone and outcome in your own data.
Not the summary, the clip, timestamped to the second.
Where the score shows up
The score follows the interaction, it doesn't live only in a separate analytics tab. Wherever you're working, the tone signal is already there.
Languages and model updates
32 languages supported at launch, with nuance tuned separately for each. Sarcasm in US English isn't sarcasm in Brazilian Portuguese.
Models update weekly on the back end with no customer-side work. Accuracy numbers ship in the changelog every month.
Questions we hear on the first call
Yes, sentiment models cover 32 languages with region-specific calibration. Nuance is tuned per language, not translated from English models.
Explore next on letsdial
Every call, scored by tone.
Whisper to the supervisor before the customer escalates.
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