Enterpret
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Location
Headquarters: San Francisco, California, United States, North America
Region: California
Country: US
Continent: North America
About
Enterpret is a customer intelligence platform that unifies feedback from tickets, calls, reviews, and other sources to surface actionable insights and drive product decisions faster. The platform offers AI-powered classification, knowledge graph connections, and automated workflows to close the loop between feedback and actions. Headquartered with customers across multiple industries, Enterpret positions itself as a valuation of customer voice in the AI era.
Enterpret is a customer intelligence platform that unifies feedback from tickets, calls, reviews, and other sources to surface actionable insights and drive product decisions faster. The platform offers AI-powered classification, knowledge graph connections, and automated workflows to close the loop between feedback and actions.
Enterpret Inc.
2020
for_profit
active
Industries
Primary Industry: Software
Categories
Funding & Financials
Series A
25100000
private
Investors
Founders
Arnav Sharma
Varun Sharma
Leadership
Technology Stack
Products
Quality Monitoring Agent: An AI-driven system that continuously monitors customer feedback across channels to detect, analyze, and alert teams about emerging issues in real time.
Wisdom (Co-pilot for Customer Insights): An AI-powered chat interface that provides fast, intuitive answers to customer feedback queries without requiring complex analytics skills.
Enterpret Taxonomy: A customizable AI-generated taxonomy that organizes unstructured customer feedback into categories, reasons, and keywords tailored to each company’s needs.
Synced Users and Accounts: A feature that links customer feedback to user and account revenue data, enabling analysis of feedback impact on business outcomes.
Collections: A tool to curate, organize, save, and share selected customer feedback records within the Enterpret platform for team collaboration and documentation.
Custom Filters: A feature that allows users to save, share, and reuse complex search queries to quickly access specific subsets of customer feedback data.
