Enterpret
San Francisco, California, United States
What it is
Enterpret is customer-feedback software available through a web interface and API. It brings support, sales, research, market, community, CRM, and product-usage signals into structured customer context for teams and AI. Its adaptive taxonomy organizes those inputs into themes that can change with customer language, products, and use cases. The Customer Context Graph connects signals with features, issues, segments, and outcomes such as churn, expansion, adoption, and support blockers. MCP workflows let teams query and act on feedback through Claude, ChatGPT, and internal tools. Listed integrations include Slack, Jira, Salesforce, Zendesk, Snowflake, Amplitude, Mixpanel, and Intercom. Jira support currently covers Jira Software Cloud; other listed Jira products are marked coming soon. Enterpret also provides NPS surveys, feature requests, product roadmaps, and sentiment analysis. Pricing is on request, with usage-based cost depending on feedback volume.
For and against
For
- Connects many customer-signal sources
- Adaptive taxonomy evolves with language
- Links feedback to business outcomes
- MCP workflows support AI tools
- Includes NPS and sentiment analysis
Against
- Pricing requires a sales quote
- Some Jira products are coming soon
- Available only on web and API
The verdict
Enterpret combines broad feedback collection with structured themes, linked outcomes, and AI workflows. Teams should confirm pricing and Jira coverage for their needs.
Who it suits
Enterpret is aimed at product, customer experience, support, operations, and go-to-market teams in high-velocity product organizations. It suits teams that need shared customer context across many feedback sources.
Plans and prices
Usage-based
Pricing depends on feedback volume · Contact sales for a quote
Read 8 Oct 2026 · enterpret.com
On the record
- Adaptive taxonomy
- Its adaptive taxonomy organizes customer signals into shared themes and categories that evolve with customer language, products, and use cases.enterpret.com · read 8 Oct 2026
- AI workflows
- Enterpret says its MCP workflows let teams query and act on customer feedback from tools including Claude, ChatGPT, and internal tools.enterpret.com · read 8 Oct 2026
- Customer context
- The Customer Context Graph links signals to features, issues, segments, and business outcomes, including churn, expansion, adoption, and support blockers.enterpret.com · read 8 Oct 2026
- Data protection
- Enterpret says customer data is logically separated in a multitenant architecture and that data at rest is protected with AES-256 encryption.enterpret.com · read 8 Oct 2026
- Feedback sources
- It connects support tickets, sales calls, surveys, reviews, social conversations, market research, community discussions, CRM data, and product usage signals.enterpret.com · read 8 Oct 2026
- Integrations
- Its integrations directory lists tools including Slack, Jira, Salesforce, Zendesk, Snowflake, Amplitude, Mixpanel, and Intercom.enterpret.com · read 8 Oct 2026
- Jira support
- The Jira integration currently supports Jira Software Cloud; Jira Work Management, Jira Service Management, and Jira Product Discovery are listed as coming soon.enterpret.com · read 8 Oct 2026
- Security
- Enterpret states that it holds a SOC 2 Type 2 report and aligns its security and AI governance programs with ISO/IEC 27001 and ISO/IEC 42001.enterpret.com · read 8 Oct 2026
- Support
- For Slack integration questions, Enterpret lists support by email and says it responds within 24 hours.enterpret.com · read 8 Oct 2026
- What it does
- Enterpret connects support, sales, and market signals into structured customer context for teams and AI.enterpret.com · read 8 Oct 2026
- Who it is for
- Enterpret says product, customer experience, support, operations, and go-to-market teams at high-velocity product organizations use it.enterpret.com · read 8 Oct 2026
