Kapiche’s intelligence engine turns messy, unstructured conversations – support tickets, surveys, reviews, social media – into structured insight: AI Enrichments transform raw text into structured data, AI Themes automatically categorize customer interactions, automated quality assurance analyzes 100% of conversations rather than a manually-reviewed sample, and predictive analytics flags churn risk before it actually happens.
Analyzing every conversation instead of a sample is the specific claim worth taking seriously – traditional customer feedback relies on surveys that Kapiche points out only the “5% who bother to fill out” actually complete, meaning most customer sentiment goes unmeasured entirely. Automated QA covering 100% of support conversations rather than a manually-sampled subset catches quality issues a spot-check would simply miss by never reviewing that particular conversation at all.
Kapiche reports itself as the “#1 feedback analytics platform in Australia,” with a customer case study showing PEXA reduced manual reporting from three days a month down to minutes using the system. Pricing isn’t disclosed on the homepage – it requires booking a call or demo.
