Enterpret
AI-powered platform that unifies and analyzes customer feedback across every channel
- Category
- Data Analysis
- Pricing
- Enterprise/custom pricing based on feedback volume and data sources; no public self-serve pricing, sold primarily via sales-led contracts.
- Best for
- Enterpret is built for mid-market and enterprise product, CX, and customer insights teams that receive substantial feedback volume across many channels and need to convert it into quantifiable, queryable trends.
- Official site
- www.enterpret.com
- Last updated
- August 2026
Enterpret was founded to address a persistent gap in how companies handle customer feedback: it exists across dozens of disconnected sources (support tickets, app store reviews, NPS surveys, sales call transcripts, social media, community forums) and is typically analyzed manually or in silos, if at all. Enterpret's platform ingests all of this feedback into a unified system and applies AI/NLP models to tag, cluster, and quantify recurring themes.
A key differentiator is Enterpret's custom taxonomy approach: instead of forcing feedback into generic categories, it lets each company define categories and hierarchies that reflect its own product, features, and business terminology, improving the relevance of the resulting analysis. Teams can then query the feedback dataset using natural language and view dashboards that show how sentiment and themes trend over time, by customer segment, or by feature area.
Enterpret is generally positioned toward mid-market and enterprise customers with meaningfully high feedback volume and multiple data sources to unify, and it has been adopted by product and CX teams at a number of well-known SaaS and consumer companies. It is typically sold through a sales-led motion with custom pricing rather than transparent self-serve plans.
Enterpret is built for mid-market and enterprise product, CX, and customer insights teams that receive substantial feedback volume across many channels and need to convert it into quantifiable, queryable trends. It's a strong fit for organizations with dedicated insights or product-ops functions that want to replace manual feedback analysis with an AI-driven, centralized system. Smaller teams with lower feedback volume or simpler needs may find lighter-weight, self-serve feedback tools more cost-effective.
Key features
Multi-source feedback ingestion
Aggregates feedback from support tickets, app store/product reviews, NPS/CSAT surveys, sales call transcripts, and social/community channels.
AI/NLP theme extraction
Automatically identifies and clusters recurring themes and sentiment across large volumes of unstructured feedback text.
Custom taxonomy builder
Allows each organization to define its own categories and hierarchy so feedback is tagged using company-specific product and feature terminology.
Quantitative trend dashboards
Turns qualitative feedback into trackable metrics and trends, viewable by time period, segment, or feature area.
Natural language querying
Lets users ask questions about the feedback dataset in plain language and get quantified, sourced answers.
Enterprise integrations
Connects with common support, CRM, and call-recording tools such as Zendesk, Salesforce, and Gong to pull feedback data automatically.
Pricing breakdown
Standard
- Core feedback ingestion and AI categorization
- Custom taxonomy setup
- Standard integrations
- Dashboard and reporting access
Enterprise
- Higher data volume and source limits
- Advanced integrations and security review
- Dedicated customer success support
- Expanded taxonomy and workflow customization
Pros and cons
Pros
- Unifying feedback across many disconnected channels into one dataset eliminates the need for manual cross-referencing between tools
- Custom taxonomies mean the categorization reflects the company's actual product and business vocabulary rather than generic tags
- Converting qualitative feedback into quantifiable, trackable trends helps teams justify prioritization decisions with data
- Natural language querying lowers the barrier for non-analyst stakeholders to explore the feedback dataset themselves
- Enterprise-grade integrations make it practical to consolidate feedback from tools already in use across support, sales, and community teams
Cons
- Lack of published pricing means prospective customers must go through a sales process to understand cost, slowing evaluation
- The platform's value is closely tied to how many feedback sources are connected, requiring upfront integration and taxonomy-setup effort
- Being enterprise-focused, it may be overkill (and cost-prohibitive) for small teams with lower feedback volume
- AI-driven categorization still typically requires some human review/tuning to ensure taxonomy accuracy over time
- As a still-growing company, its integration library and support resources may be less extensive than long-established enterprise feedback platforms
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Compare →Frequently asked questions
What does Enterpret do?
Enterpret unifies customer feedback from support tickets, reviews, surveys, sales calls, and social channels, then uses AI to categorize it and surface quantifiable trends.
How is Enterpret's feedback categorization different from other tools?
It uses a custom taxonomy builder so categories reflect each company's own product terminology rather than generic, one-size-fits-all tags.
How much does Enterpret cost?
Enterpret doesn't publish self-serve pricing; it's sold through custom, sales-led contracts based on feedback volume and data sources.
Can non-technical users query the feedback data?
Yes, Enterpret supports natural language querying, allowing product and CX stakeholders to explore feedback trends without needing analyst support.
What integrations does Enterpret support?
It integrates with common enterprise tools such as Zendesk, Salesforce, and Gong, among others, to automatically pull in feedback data.
Is Enterpret suitable for small companies?
It's primarily designed for mid-market and enterprise teams with significant feedback volume; smaller teams may find it more than they need.
Ready to try Enterpret?
Head to the official site to explore pricing and start a free trial where available.
Visit Enterpret →