Emotion trends
Track how customer and agent emotions change throughout a conversation, including shifts in direction and intensity.
A transcript tells you what was said. Imentiv AI helps you understand how it was said and how the conversation felt.
Track how customer and agent emotions change throughout a conversation, including shifts in direction and intensity.
Understand not just what was said, but how it was said, including tone and the emotions expressed through words. Imentiv AI also enables multilingual analysis across supported languages.
See each speaker separately to understand who said what, how they responded, and how their emotions changed.
Understand how strongly emotions are expressed and how they change from one moment to the next.
Ask business-level questions. Get answers grounded in your conversations. Use Insights to ask questions about your calls, identify patterns, and understand what is happening across conversations.
Add context when you need more specific answers. Upload guidelines, evaluation criteria, or other relevant files to give Insights the context it needs to answer your questions.
Upload recorded conversations for analysis, individually or at scale, and review the emotional and conversational signals in each call.
Analyze emotional responses as conversations happen and identify important moments as they occur.
Use the Imentiv AI SDK to run analysis completely offline within your own cloud or infrastructure. Keep customer voice data private within your enterprise environment.
Use emotion recognition APIs to bring call analysis into your existing QA, reporting, analytics, customer-service, or AI-agent workflows.
Identify calls that need attention and strengthen how you evaluate customer and agent interactions.
Track recurring frustration, satisfaction, confusion, and other emotional responses across calls.
Use conversation and emotional patterns to identify opportunities for better agent interactions and coaching.
Measure how customers respond to conversations with your voice AI agents.
Words + Voice + Emotion
Understand not only whether a conversation was positive or negative, but what the customer and agent expressed, how they expressed it, and how their emotional response changed throughout the call.
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Turn your call data into a richer understanding of every conversation.