Enterpret
AI customer intelligence platform for feedback, product, and revenue insights.
About this tool
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.
Alternative Tools
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
- Product walkthrough
- Source and integration review
- Use-case scoping
- Custom pricing discussion
Annual Contract
Marketplace contract example for feedback records
- 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 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.
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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