Enterpret

Enterpret operates a customer intelligence platform that consolidates customer signals from support, sales and market sources into a structured, queryable layer used by product, customer experience and voice-of-customer teams. The platform is organized around three stages: unifying feedback through integrations, an adaptive taxonomy that classifies feedback into evolving themes, a customer context graph that ties signals to customers, product areas and business outcomes, and data enrichment; understanding through dashboards, an AI insights interface, an MCP server and sales intelligence; and acting through AI agents, closed-loop resolution detection and workflow integrations.

The company frames its product areas as customer intelligence (prioritizing roadmap work by retention and revenue impact), support intelligence (reducing ticket volume and repeat contacts), sales intelligence (identifying product gaps blocking deals and capturing demand from sales conversations and CRM data) and market intelligence (external reviews, social and competitive signals). Enterpret's context graph attaches attributes such as customer segment, lifetime value, lifecycle stage, usage and product area to individual feedback records, and links issues to churn, expansion, adoption and support blockers so that changes can be measured after a decision is shipped.

Business model

Enterpret sells software to companies as a platform, with self-serve product exploration and a book-a-demo sales motion, plus a login for existing customers.

Traction

Enterpret publishes customer outcome figures including Canva scaling insights from more than 200 million users, Notion saving time by over 360%, Apollo.io cutting support tickets by 40%, and Descript saving analysis time by 83%; other cited results include 9x growth from mapping feedback to revenue, 80% faster insight-to-decision time, and more than 220 million customer feedback records analyzed.