CXSphere analyzes sentiment and emotion in every customer interaction — from voice tone to word choice to facial expressions — giving you real-time insight into satisfaction, frustration, and intent.
Monitor customer sentiment as conversations happen — catch frustration before it escalates, identify delight to amplify, and measure satisfaction across every touchpoint.
Our AI analyzes text, voice tone, facial expressions, and behavioral signals to detect customer emotions with 94% accuracy across all channels.
Detect emotion from voice pitch, pace, volume, and prosody in real-time during calls — identify stress, frustration, satisfaction, and urgency.
Analyze language, word choice, punctuation, and emoji in chat/email to measure positive, neutral, or negative sentiment with context awareness.
Automatically escalate conversations when sentiment turns negative — alert supervisors to intervene before customers churn or leave bad reviews.
Track sentiment trends over time by product, team, channel, or customer segment — identify patterns and root causes of dissatisfaction.
Predict customer satisfaction scores from conversation sentiment — reducing survey fatigue while maintaining accurate CSAT measurement.
Sentiment analysis in 40+ languages with cultural context awareness — detect sarcasm, idioms, and language-specific emotional cues.
Enterprise teams using CXSphere Sentiment Analysis catch issues faster and improve customer satisfaction proactively.
Explore real-time emotion detection across voice, chat, and email interactions.