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Our advanced conversation intelligence suite transforms your customer interactions into actionable business insights. By leveraging our domain expertise and cutting-edge AI, we analyze conversations across multiple dimensions to provide comprehensive analytics that drive business value. The suite consists of two main components: Strategic Insights for high-level business intelligence, and Advanced Analytics for detailed conversation analysis. Each component offers multiple specialized tools designed to give you deep understanding of your customer interactions. Our API allows to build custom workflows and integrate with your existing systems, but if you need a ready-to-use solution, please contact our sales team, so we can understand your business needs and tailor a custom pre-built solution for you, that will save you weeks of development time. Find an inspiration of what you can achieve with our intelligence suite below.

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Enterprise-Grade Analytics & Insights

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Strategic Insights

Purpose: Transforms complex conversations into clear, actionable intelligence.Output: Expertly crafted executive brief highlighting critical interaction points, decisions made, and next steps.
Purpose: Automatically discovers and categorizes conversation themes with an option to use your business taxonomy.Output: Structured hierarchy of discussion topics with relevance scoring, enabling trend analysis across thousands of calls.
Purpose: Monitors customer pain points and resolution effectiveness.Output: Comprehensive issue database with resolution pathways, success rates, and time-to-resolution metrics, directly linking to conversation segments.
Purpose: Automatically categorizes conversations using your business taxonomy for perfect alignment with operations.Output: Multi-level classification with confidence scores, supporting unlimited custom categories and automated routing.Customization: Fully adaptable to your business rules and classification hierarchy.
Purpose: Forecasts customer satisfaction before surveys, enabling proactive intervention.Output: Satisfaction scoring (0-10) with contributing factor analysis, helping to identify churn risk.
Purpose: Provides deep insights into agent behavior and effectiveness.Output: Comprehensive performance metrics including solution quality, response appropriateness, and customer engagement levels.
Purpose: Automatically identifies and categorizes all customer questions for improved service delivery.Output: Structured database of customer inquiries with context, urgency levels, and resolution tracking.
Purpose: Captures and analyzes every customer need, request, and preference.Output: Detailed customer requirement analysis with priority scoring and business impact assessment.

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Advanced Analytics

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Conversation Dynamics

Definition: Sophisticated analysis of conversation time utilization.Calculation: AI-powered conversation flow analysis with efficiency scoring.Unit: Precise to millisecond level.
Definition: Advanced measurement of speaker engagement and participation quality.Calculation: ML-driven analysis of speaker participation patterns and effectiveness.
Definition: Measures the smoothness and effectiveness of dialogue progression.Calculation: Advanced analysis of conversation dynamics and participation balance.
Definition: Evaluates conversation balance and participation effectiveness.Calculation: AI-powered analysis of speaker contributions and interaction patterns.
Definition: Advanced analysis of simultaneous speech patterns and impact.Calculation: Neural network-based detection of overlapping speech patterns.
Definition: Measures the clarity and effectiveness of communication.Calculation: Advanced analysis of speech patterns and communication effectiveness.
Definition: Sophisticated detection of conversation flow disruptions.Calculation: ML-powered analysis of natural conversation flow and interruptions.
Definition: Comprehensive measure of conversation effectiveness.Calculation: Advanced analysis of interaction patterns and communication quality.

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Emotional Intelligence Analytics

Definition: Customer satisfaction prediction system.Calculation: ML algorithm combining multiple satisfaction indicators for accurate scoring.
Definition: Warning system for customer dissatisfaction and churn risk.Calculation: Analysis of negative sentiment patterns and escalation indicators.
Definition: Detection of emotional state changes and their business impact.Calculation: AI-powered analysis of emotional patterns and their significance.
Definition: Predictive analysis of emotional progression throughout interactions.Calculation: Machine learning-based tracking of emotional state evolution.
Definition: Identifies specific moments that drive emotional responses.Calculation: Advanced natural language processing to identify and categorize emotional triggers.
Does it sound like a lot? It is. But we are here to help you navigate through the process and make it as easy as possible.