Kapiche
AI-powered customer feedback analytics that turns conversations into actionable intelligence
About Kapiche
Kapiche is an AI-powered customer feedback analytics platform that unifies calls, chats, support tickets, surveys, and other unstructured customer data into structured business intelligence. It automatically detects themes, patterns, churn risk, and emotional signals across 100% of customer conversations without requiring manual tagging, coding, or predefined categories. The platform's proprietary Storyboard visualization generates summaries and guides detailed analysis in seconds. Founded in 2016 and headquartered in Brisbane, Australia, Kapiche serves CX, support, and product teams who need to go beyond surveys to understand their customers.
Pros & Cons
Pros
- Extremely fast time-to-insight — delivers 70% of insights in 1% of the time compared to manual analysis
- No manual setup required — eliminates weeks of categorization and code-frame work typical in CX analytics
- Consistently praised customer support that is responsive and knowledgeable from day one
- Intuitive Storyboard feature makes extracting insights accessible to non-technical users
Cons
- No public pricing — requires a sales call and is likely expensive for small teams
- Limited third-party integrations — users want deeper connections with platforms like Qualtrics
- Small company (11-50 employees) carries inherent risk compared to larger analytics vendors
- Niche focus on CX and feedback analytics — not a general-purpose BI or analytics tool
Pricing
- AI auto-theme detection
- Multi-channel data unification
- Storyboard visualization
- Real-time analysis
- Standard integrations
- Everything in Professional
- Churn risk prediction
- Data warehouse connectors
- Advanced AI enrichment
- Dedicated account management
Best For
Customer Churn Prevention
Detect churn risk signals and emotional patterns across support conversations before customers leave.
Voice of Customer Analysis
Unify feedback from calls, chats, tickets, surveys, and reviews to understand what customers really want.
Product Feedback Prioritization
Identify the most impactful product pain points and feature requests from unstructured customer data.
CX Team Performance
Analyze 100% of customer conversations to find support gaps, training opportunities, and process improvements.