Enterpret
6.6/10Enterpret is an AI customer feedback platform. It pulls support, sales-call, review and community feedback into one adaptive taxonomy so product and CX teams can find and act on issues.
Data last updated November 2026 · Our methodology
Overview
Enterpret collects customer feedback from support tools such as Zendesk and Intercom, sales calls in Gong, app stores, review sites, social channels and communities such as Reddit. It sorts everything into an adaptive taxonomy that updates as new themes appear. Those themes link to accounts and revenue through a customer context graph, which helps teams weigh issues by business impact. On top of that data sits the Enterpret Agent, previously branded Wisdom. Ask mode answers plain-language questions with citations back to the source conversations. Watch mode runs scheduled or signal-driven automations, such as Escalation Shield, Quality Monitor and a weekly voice-of-customer report. Fix mode files issues in Linear or Jira with customer context attached, and can hand fixes to coding agents. A remote MCP server lets Claude, Cursor, ChatGPT, Codex, Glean and Notion agents query the feedback data directly. Alerts go to Slack, and data can be written back to Salesforce. The product suits mid-market and enterprise product, CX and support teams that handle large volumes of feedback, especially software and consumer-app companies. Named customers include Canva, Notion, Apollo.io and ElevenLabs. No prices are published, and every plan is quoted through a demo. Vendr purchase data shows a median contract of about 36,000 USD a year, with observed deals from about 23,500 to 75,000 USD, so it is expensive for small teams. The main limitation reviewers mention is the setup effort. Mapping sources to customer attributes and tuning the taxonomy takes ongoing work, the interface can feel overwhelming at first, and the AI needs correction before its output is fully accurate.
Our Rating
Who Enterpret is best for
Best software for Product TeamsGood fit
The product is built so product teams can turn feedback into prioritized, revenue-weighted product decisions, and it files issues directly into Linear or Jira.
Most named customers, such as Notion, Canva, Apollo.io and ElevenLabs, are software companies with high feedback volume.
It ingests Zendesk and Intercom tickets, auto-tags them and includes escalation and quality-monitoring agents, though reviewers say setup takes effort.
It holds SOC 2 Type II and several ISO certifications, offers SSO and role-based access, and is sold on custom annual contracts.
Less suited
It fits mid-market companies with high feedback volume, but a competitor review says mid-market teams often find the price high for the features they use.
A newer Sales Intelligence module adds deal intake and risk signals, but the core product is aimed at product and CX teams.
Annual contracts usually start in the tens of thousands of dollars and there is no self-serve plan.
Pros & Cons
Pros
- The AI-maintained taxonomy groups tickets, reviews and call notes automatically, and G2 reviewers say it replaced hours of manual tagging.
- Answers and quotes link back to the source conversations, so product managers can check a claim before acting on it.
- Connectors are broad and grow monthly. The changelog shows new sources such as TikTok, Trustpilot, YouTube comments and GitHub Issues added in 2026.
- A remote MCP server lets Claude, Cursor, ChatGPT, Codex, Glean and Notion agents query feedback data without opening the Enterpret app.
- Security credentials are strong for the category: SOC 2 Type II, ISO 27001, ISO 27701 and ISO 42001, plus GDPR data processing agreements.
- Reviewers often praise the onboarding and support team for being responsive and hands-on.
Cons
- No public pricing, and contracts reported to Vendr cost from about 23,500 USD a year upward, which puts it out of reach for small teams.
- Reviewers say the interface is overwhelming at first and new users need time to learn how dashboards, taxonomy and agents fit together.
- Mapping sources to customer attributes and refining the taxonomy takes upfront and ongoing configuration.
- AI-generated themes and insights are not fully accurate at first; G2 reviewers cite inaccurate outputs as the most common complaint.
- One reviewer reported that large queries and data-heavy dashboards can be slow.
Key Features
Enterpret Pricing
Enterprise Platform Access
- Agent usage managed through credits
- MCP server access for AI assistants
- Custom quote via demo; no public price list
- Dashboards, AI insights and Enterpret Agent (Ask, Watch, Fix)
- Feedback connectors, adaptive taxonomy and customer context graph
- Vendr-reported median about 36,300 USD per year, observed range about 23,500 to 74,800 USD
Frequently Asked Questions
Enterpret does not publish prices, and quotes come through a demo. Vendr purchase data shows a median of about 36,300 USD per year, with observed deals between about 23,500 and 74,800 USD. One Vendr buyer reported getting two months free after asking for a bigger discount.
It connects to support tools such as Zendesk and Intercom, sales-call tools such as Gong, app stores, review sites such as Trustpilot and G2, and social and community channels including Reddit, YouTube comments and TikTok. It also connects to product analytics, CRMs such as Salesforce and HubSpot, and newer connectors such as Pylon, Decagon and Fathom.
Yes. Enterpret runs a remote MCP server that works with Claude, Claude Code, Cursor, ChatGPT, Codex, Notion Custom Agents, Glean and Grok. Most clients sign in with OAuth, and Bearer tokens are available for clients that need them. It can return feedback query results with citation links and verbatim customer quotes.
Its trust page lists a SOC 2 Type 2 report, ISO/IEC 27001, 27701 and 42001, and GDPR and CCPA commitments. Data is hosted on AWS in US availability zones and encrypted with TLS 1.2 in transit and AES-256 at rest.
The trust page names Google Workspace sign-in for SSO. The homepage lists SSO, role-based access control and data residency options for enterprise customers. Other identity providers are not named publicly, so confirm yours with sales.
Enterpret says setup takes days, covering connector setup, historical backfill and taxonomy generation. One reviewer had Zendesk data flowing within a day or two. Other reviewers say mapping customer attributes and refining the taxonomy takes ongoing effort.
Enterpret says customers can choose Anthropic, OpenAI or open models. The 2026 changelog notes that Claude Opus 4.7 and 4.8 were added to the agent, which was previously called Wisdom.
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Ranked near Enterpret in AI Software
See Enterpret in the listEnterpret is #114 in AI Software by our score.
