AI TOOL PROFILE
Enterpret: AI Voice of Customer Software
- Customer Support
- Analytics and Reporting
- Customer Success Teams
- Product Management Teams
- Customer Experience (CX) Leads
- Mid-Market Companies
- Enterprise Companies
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Customer Success Teams, Product Management Teams, Customer Experience (CX) Leads, Mid-Market Companies, Enterprise Companies
- Key use cases
- Feedback Centralization, Automated Feedback Tagging, Product Prioritization, Closing the Feedback Loop
- Integrations
- Zendesk, Salesforce, Slack, Reddit, Gong
- Official website
- Visit enterpret official website
How AI is used
Enterpret is a Voice of Customer (VoC) platform designed to centralize feedback from various channels, including support tickets, calls, and reviews. It uses an AI-driven taxonomy to automatically categorize this data, which may reduce manual tagging for product and CX teams.
The tool is intended for organizations handling high volumes of customer input that need to understand patterns and drivers behind trends. It connects feedback to business context, such as user identity and revenue, to help teams prioritize product decisions based on customer impact.
Beyond analysis, the platform supports automation via AI agents and integrations with project management tools. This helps teams detect when issues are resolved and notify the relevant customers to close the feedback loop.
Buyers should confirm their monthly feedback volume, as the company recommends at least 1,000 records per month to get value from the system. Additionally, those with strict data privacy requirements should review the platform's SOC 2, GDPR, and CCPA compliance details.
Key Features
Unified Feedback Integration
Connects feedback from 50+ sources, including Zendesk, Salesforce, Slack, and Reddit, into one central view.
Adaptive Taxonomy
Uses AI to automatically organize and classify feedback into a five-level structure based on business context.
Customer Context Graph
Links feedback data to specific users, accounts, and revenue to help quantify the impact of customer issues.
Wisdom AI
A natural language interface that allows users to ask questions about their customer feedback and get answers.
AI Agents
Supports automating the resolution process and helps teams notify customers when their feedback has led to a fix.
Dashboards
Visualizes trends and sentiment patterns in real time to support product decisions.
Use Cases
Feedback Centralization
Collecting signals from tickets, social media, and surveys into one place to reduce data silos.
Automated Feedback Tagging
Using AI-powered classification to identify common customer themes instead of manual tagging.
Product Prioritization
Mapping customer requests to revenue and product features to help determine impact.
Closing the Feedback Loop
Detecting when a Jira or Linear issue is completed to notify affected customers.
Integrations
- Zendesk
- Salesforce
- Slack
- Gong
- Intercom
- Jira
- Linear
- Snowflake
- Census
FAQ
What does Enterpret do?
- Enterpret unifies customer feedback from sources like tickets, calls, and reviews into one platform, then uses AI to automatically categorize the data into themes and link it to business context.
Who is Enterpret best suited for?
- It is designed for Product Management, Voice of Customer, and Customer Experience teams at mid-market and enterprise companies.
How much feedback is needed for the tool to be useful?
- The company recommends that teams have at least 1,000 combined feedback records from all sources per month to get the most value from the platform.
Is Enterpret secure for enterprise data?
- Enterpret is SOC 2 Type 2, GDPR, and CCPA compliant, and it includes features to automatically detect and obfuscate PII before data ingestion.
Source category: Customer Support
Source subcategory: Analytics & Reporting
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