Enterpret
Enterpret: A broad feedback intelligence layer for teams that need connected customer insight. Ranked #16 of 59 in Customer Feedback Software by our editors (7.7/10); pricing: Pricing on request; best for centralized AI feedback intelligence.
At a glance
- Editor score7.7 / 10
- PricingPricing on request
- Best forCentralized AI feedback intelligence
- Facts checked21 Sep 2026
Where it wins
- Ingests customer feedback from more than 50 sources
- Links feedback to users, accounts, and business context
- Connects insights to Slack, Jira, Linear, and AI tools
Where it doesn't
- Pricing is usage-based and requires a sales conversation
- Its capabilities center on feedback intelligence rather than standalone survey execution
- Access is listed for web and API platforms
Our verdict on Enterpret
Enterpret is customer intelligence software for product, customer experience, support, operations, and go-to-market teams. It brings together feedback from support tickets, surveys, reviews, sales calls, social conversations, CRM data, and product-usage signals. The platform is designed for organizations that need a shared view of customer sentiment, requests, account context, and emerging issues rather than separate analysis across each feedback channel.
Pricing is usage-based and determined by feedback volume, with prospects directed to sales for a quote. That model can suit teams whose feedback intake varies significantly, but it makes budgeting dependent on expected ingestion needs. Enterpret is available through web and API access, and its workflow connections include Slack, Jira, Linear, Salesforce, Zendesk, Intercom, and Gong. It also lists connections with Claude and ChatGPT, plus MCP server access for AI tools, giving teams several ways to move insights into existing workstreams.
The strongest part of Enterpret’s scope is its combination of adaptive taxonomy, Customer Context Graph, sentiment trend tracking, anomaly detection, dashboards, custom queries, and AI-generated answers grounded in source feedback. These capabilities support analysis that goes beyond collecting individual comments: teams can classify incoming feedback, connect it to business context, monitor changes, and share findings. Enterpret is a good fit for teams consolidating feedback across many channels and turning it into product or operational workflows. Organizations seeking a simple survey-only tool or a clearly packaged self-serve purchase may prefer a narrower alternative.
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Enterpret pricing
Enterpret fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| NPS surveys | Yes |
| Feature requests | Yes |
| Feedback portal | Not verified |
| In-app feedback | Not verified |
| Product roadmap | Yes |
| Sentiment analysis | Yes |
| Feedback response limit | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, SSO/SAML |
| Support | Email, Live chat, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 50+ integrations: Jira, Linear, Slack, Zoom, Instagram, Zendesk … See all → |
| Pricing | Pricing on request |
| Website | enterpret.com |
| Facts checked | 21 Sep 2026 |
Enterpret integrations
Enterpret lists 50+ integrations on its own site — the 20 named here are the ones its pages call out.
- Jira
- Linear
- Slack
- Zoom
- Zendesk
- Intercom
- Salesforce
- Snowflake
- Qualtrics
- SurveyMonkey
- Typeform
- Mixpanel
- Amplitude
- Gong
- Google Play Store
- Apple iOS App Store
- Zapier
- Webhook
- CSV Upload
See all Enterpret integrations →
Alternatives to Enterpret
- MedalliaA broad enterprise feedback platform with analytics, workflows, and multichannel collection.9.2
- Verint Experience ManagementA broad enterprise CX platform for omnichannel feedback, analytics, and action.9.1
- Zonka FeedbackA strong fit for teams running complex, structured feedback programs across channels.9.0
See all Enterpret alternatives →
Also Ranked In
Enterpret is ranked in 7 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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