AI Customer Insights Platform
Reduce tickets. Crush churn. Amplify empathy.
Equip Support and CX teams to turn every customer interaction into growth for your business.
Enterpret is the AI customer insights platform that turns every support ticket, NPS response, call transcript, and customer review into real-time intelligence.
Automatically, across every channel.
Every support ticket, NPS response, call transcript, and review — unified in one place. Enterpret connects Zendesk, Intercom, Gong, and every other channel so your CX team finally sees what customers are actually experiencing, not just what lands in one queue.
No more tagging, no more spreadsheets, no more stale reports. Enterpret's AI automatically categorizes and analyzes feedback as it arrives — so your team spends time acting on insights, not wrangling data.
Know exactly what's driving NPS up or pulling CSAT down. Enterpret connects customer signals directly to the metrics that matter, so CX and product teams can prioritize with confidence and close the loop before customers churn.
Zero manual tagging, finally
Deploy your team's empathy on customers, not categories. Every ticket auto-categorized with accuracy so your advocates focus on solving problems, not sorting them.
Feedback flows in from Zendesk, Intercom, Freshdesk, NPS surveys, app store reviews, call transcripts, and 50+ other sources. Enterpret's NLP and adaptive topic modeling categorize all of it automatically — no taxonomy to maintain, no rules to write, no data science team required.
Real-time intelligence, not quarterly reports
End "Voice of Customer" theater. Get 100% feedback coverage across all channels with insights that arrive while you can still act on them - not 3 months later.
Track NPS and CSAT trends in real time — by segment, channel, release, or customer tier. When a new issue starts spiking, Enterpret surfaces the root cause before it fills your support queue. That's the difference between a reactive support function and a proactive customer intelligence operation.
Close every loop at scale
Feature ships? Everyone who requested gets notified. Bug fixed? All affected customers updated. Turn every customer interaction into a relationship moment, automatically.
Insights route to Jira for engineering, Slack for the broader team, and Salesforce for account owners — so the full organization moves from the same omnichannel customer intelligence layer. No more siloed feedback. No more cross-team coordination overhead. Every customer touchpoint becomes a data point that drives action.
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How Enterpret works as your AI customer insights platform
Four layers. Fully automated. No analysts required.
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Enterpret pulls in feedback from 50+ sources (Zendesk, Intercom, Gong, Salesforce, iOS and Google Play reviews, NPS surveys, Typeform, Slack, and more). Every new signal is ingested in real time, and every piece of feedback is automatically linked to the customer, account, and revenue it belongs to. Then we create a Customer Context Graph that unifies the same user across multiple sources into a single identity. When a customer files a Zendesk ticket, leaves an App Store review, and responds to an NPS survey, Enterpret knows it's the same person, and connects all three signals to their ARR, plan, lifecycle stage, and any custom attributes your team tracks.
Most tools make you build a taxonomy upfront and maintain it forever. Enterpret's Adaptive Taxonomy does it for you. Using AI, it organizes every piece of feedback into a five-level hierarchy from broad categories down to granular sub-themes based on your product's specific language, not a generic template. It learns your internal terminology, adapts when you ship new features, and detects category drift automatically, so your taxonomy stays accurate without a taxonomy admin. You can inspect why any piece of feedback was classified a certain way, correct it inline, and the model learns from your correction immediately.
Wisdom AI is built specifically for customer intelligence. It reviews 100% of your feedback corpus and answers questions in plain English: "Why are enterprise customers churning this quarter?" "What's driving the NPS drop in our mobile app?" Every answer is grounded in Enterpret's Customer Context Graph, so you can filter by ARR, NPS score, customer segment, region, or any custom attribute. Every claim comes with one-click citations back to the source feedback. Wisdom maintains context across follow-up questions, so a conversation feels like talking to an analyst who has read every customer conversation your company has ever had.
Insights aren't stuck in Enterpret. Critical bugs become Jira tickets automatically. Feature requests flow to Linear. Customer wins land in Slack. The Wisdom MCP Server takes this further: it makes your entire feedback corpus available as a queryable API, so any AI tool in your stack — Claude, ChatGPT, Cursor, Notion AI — can pull structured themes, sentiment, verbatims, and account context on demand. Product managers ask questions in Claude and get evidence-backed answers from real customer data. Engineering teams pull verbatims directly into PRDs. Customer success uses it to prep for QBRs. The intelligence your customers gave you stops sitting in a dashboard and starts showing up in every decision.
Frequently Asked Questions
An AI customer insights platform automatically collects, categorizes, and analyzes customer feedback across every channel — support tickets, NPS surveys, call transcripts, app store reviews, and more — to surface actionable intelligence in real time. Unlike traditional VoC tools that produce quarterly reports, AI platforms like Enterpret deliver continuous insights that CX and support teams can act on immediately, with 100% coverage rather than manual sampling.
Enterpret connects natively to Zendesk, Intercom, Freshdesk, Salesforce, Gong, NPS survey tools, app store review platforms, and 50+ other sources. Its AI uses NLP and adaptive topic modeling to automatically categorize every ticket, conversation, and review — no manual rules, no labeling — and enriches each signal with customer context like account ARR, plan tier, and lifecycle stage so every insight is immediately actionable.
By identifying root causes before they generate volume. When a bug, UX friction, or product gap starts trending in feedback, Enterpret surfaces it in real time — so teams fix the underlying issue rather than responding ticket by ticket. Customers who reported problems are notified automatically when fixes ship, reducing repeat contacts and improving CSAT without any manual follow-up.
Enterpret tracks NPS, CSAT, and churn signals in real time, segmented by customer tier, channel, product area, release, or any custom attribute. Teams can monitor how specific feedback categories drive NPS score changes, identify which issues correlate with churn risk, and measure the customer satisfaction impact of product and operational changes — all from a single omnichannel intelligence layer.
Traditional VoC software produces reports. Enterpret produces real-time intelligence. It delivers 100% feedback coverage across all channels — not a sampled survey — auto-categorizes everything with AI so there's zero manual tagging, and closes the loop automatically by notifying customers when their issues are resolved. Where most VoC programs create quarterly slide decks for leadership, Enterpret routes actionable insights to the teams who can act on them, in the tools they already use.