Chattermill shows what’s happening. Enterpret shows why it’s happening.
Both unify customer feedback. Only Enterpret connects every signal to customers, features, and revenue so you understand what’s happening, why it’s happening, and what to do about it.
Enterpret turns every feedback spike into strategic signal
Enterpret connects feedback to customers, features, and revenue, not just bugs
Enterpret adapts with a five-level taxonomy that grows with your business
Enterpret provides higher accuracy, richer context, and more actionable intelligence

Why leading teams chose Enterpret vs. Chattermill
Enterpret uncovers meaning, not just mentions
Chattermill groups feedback into themes. Enterpret goes further by extracting the drivers, intent, and impact behind every signal so teams can understand the real story.
Enterpret adds business context that others miss
Chattermill reports customer sentiment. Enterpret connects it to customers, product areas, and revenue outcomes so you can prioritize by real business impact.
Enterpret learns, adapts, and acts automatically
Static taxonomies and fixed models only take you so far. Enterpret’s adaptive intelligence evolves with your product, your language, and your customers so insights stay accurate and useful.


Unify feedback with your business context to prioritize what truly matters
Connect every customer voice in one place
Feedback lives everywhere, making context hard to track. Unify feedback across 50+ sources into one real-time view.
Automatically organize feedback into contextual themes and tags
Save hours of manual tagging with our 5-level Adaptive Taxonomy that builds structure around your business reality and continuously evolves with every signal
Capture the full story behind customer feedback
Automatically connect feedback to the people, revenue and product it impacts to focus on signal, not noise
Extract deeper insights with data enrichment workflows
Messy data blocks clarity and speed. Enrich feedback with AI-powered workflows that standardize and structure fields
Transform raw feedback into data you can act on
Turn feedback into clear, quantifiable insight
Traditional reports stop at what happened. Leverage our dashboards reveal the “why” behind every trend, uncovering patterns, drivers, and shifts as they happen
Ask AI any question about your feedback & customers
Query Wisdom AI in natural language and get instant, contextual insights on your customers
Turn insights into action with AI Agents and automated workflows
Turn every signal into action automatically
Issues often go unnoticed until it’s too late. Detect issues and trends as they happen and route context-rich alerts to the right owner instantly
Turn every resolution into a trust-building moment
Resolved issues mean little if customers never know. Automatically detect resolutions, tailor follow-ups, and close the loop to win back champions
Trigger workflows enriched with customer insights
Insights stuck in spreadsheets & reports don’t drive change. Automate workflows in Jira and Linear with full context
Centralize feedback and organize by theme, feature & revenue impact
Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
Unify feedback with your business context to prioritize what truly matters
Centralize feedback and organize by theme, feature & revenue impact
Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons
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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons







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