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Enterpret

Enterpret

AI customer intelligence platform for feedback, product, and revenue insights.

Enterpret

About this tool

Enterpret is a customer intelligence platform that helps teams turn scattered feedback into clear product, support, sales, and revenue insights. It brings signals from support tickets, surveys, reviews, sales calls, social media, community forums, CRM data, and product context into one system so teams can understand what customers are really asking for. The platform is built for product, CX, support, research, and go-to-market teams that need more than generic AI summaries. Enterpret uses a knowledge graph, adaptive taxonomy, and AI assistant called Wisdom to connect feedback to users, accounts, opportunities, product areas, ARR, lifecycle stage, and recurring issues. This helps teams prioritize decisions based on business impact rather than loud anecdotes or manual tags. Enterpret also turns feedback into action through agents and workflow integrations. Teams can monitor unusual spikes, detect escalations, surface emerging themes, route insights to Slack, Jira, Linear, Zoom, and other workflows, and close the loop with customers when a known issue or requested feature changes. This makes it useful for companies that already have feedback volume but struggle to translate it into roadmaps and operational priorities. The strongest fit is mature SaaS or digital product teams with many customer signals and enough business context to justify an enterprise platform. Small teams may find Enterpret heavier than a lightweight survey or ticket-tagging tool, but larger teams can use it as the customer understanding layer behind product planning, retention work, and AI-powered internal workflows.

Best for

Customer feedback intelligence, product insights, CX analysis, and roadmap prioritization.

Key Features

  • Unifies customer feedback from support, surveys, reviews, calls, social, and CRM sources.
  • Connects feedback to accounts, product areas, revenue, lifecycle stage, and business impact.
  • Uses adaptive taxonomy and AI assistant workflows to surface evidence-backed insights.
  • Routes customer intelligence into Slack, Jira, Linear, Zoom, MCP, and internal systems.

Pricing summary

Enterprise customer intelligence pricing. AWS Marketplace lists a 12-month contract example at $120,000 for up to 300,000 feedback records per year, with overage pricing, while private offers and custom contracts may vary.

Pricing Plans

Custom Demo

Sales-led evaluation for customer intelligence teams

Custom
  • Product walkthrough
  • Source and integration review
  • Use-case scoping
  • Custom pricing discussion
Popular

Annual Contract

Marketplace contract example for feedback records

$10,000/month
  • Up to 300,000 feedback records per year
  • Contract-based access
  • Usage-based overage pricing
  • Enterprise customer feedback analytics

Enterprise

Private offer for larger or custom deployments

Custom
  • Custom contract terms
  • Private offer support
  • Advanced integrations
  • Enterprise scale and governance

Other pricing notes

  • Pricing checked on 2026-07-21 using Enterpret official pages and AWS Marketplace listing.
  • AWS Marketplace shows contract-based pricing and usage-based overages for additional feedback records.
  • Final pricing may depend on feedback volume, contract length, integrations, and private enterprise terms.
Pricing last checked: July 2026Official pricing page

Pros & Cons

Pros

  • Strong fit for teams with feedback spread across many customer channels.
  • Connects qualitative feedback to business context instead of only summarizing text.
  • Adaptive taxonomy reduces manual tagging work as products and themes change.
  • Useful workflow integrations for product, CX, support, and research teams.
  • Helps prioritize issues by impact, customer segment, revenue risk, and evidence.

Cons

  • Pricing is enterprise-oriented and may be too expensive for early-stage teams.
  • Requires enough feedback volume and customer data to get full value.
  • Setup can be heavier than simple survey, review, or ticket analysis tools.
  • Teams need clean integrations and internal ownership to operationalize insights well.
  • Public pricing is limited, so buyers may need sales or marketplace conversations.

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