Verbix.ai captures tone, words, and context from voice and text to determine actionable sentiment insights. It helps in improving agent empathy, reduce churn, and work out root causes faster.

Tone & emotion detection — pitch, stress, pace, volume
Flawless speech-to-text with punctuation and speaker segmentation.
Text-level sentiment on words, phrases, and intents
Customer satisfaction/frustration/confusion detection
Agent sentiment & empathy detection (empathetic, defensive, neutral)
Turn-level timestamps to pinpoint exact moments of emotion
Agent performance scoring — empathy, politeness, resolution
Root cause analysis mapped to topics (billing, wait time, product)
Real-time alerts & trend reports for CX teams
A large healthcare provider implemented Verbix.ai to address billing confusion, long call times, and inconsistent agent empathy. Verbix.ai analyzed voice and text to surface the emotional state of patients and guide targeted interventions.
Outcome: Increased patient satisfaction, reduced billing complaint volume and faster issue resolution.