AI-powered customer feedback platform for product and CX teams
Enterpret processes customer feedback at scale using advanced LLMs (ChatGPT, Anthropic, Perplexity) built into a React + Next.js + GraphQL frontend on AWS infrastructure. The stack reveals a modern AI-native product: heavy reliance on third-party LLM APIs, combined with internal distributed ML systems and data pipeline infrastructure (Elasticsearch, Python). Active projects span core backend systems, AI feature development, and serverless architecture — indicating rapid iteration on reliability and performance, likely driven by their listed pain points around data pipeline stability, AI system reliability, and handling unpredictable user behavior at scale.
Enterpret builds a customer intelligence platform that ingests feedback from multiple channels and uses AI to surface actionable insights for product and CX teams. The company targets mid-market SaaS and DTC brands. Founded in 2020 and based in San Francisco, Enterpret operates as a lean, engineering-forward organization (10 of 18 active open roles in engineering). The tech stack and active projects reflect a focus on distributed systems, ML infrastructure, and scalable data processing — core capabilities needed to handle feedback volumes and unpredictable query patterns from their customer base.
Frontend: React, Next.js, GraphQL, TypeScript, Tailwind CSS. Backend/ML: Go, Python, Elasticsearch, Terraform, AWS. LLM integrations: ChatGPT, OpenAI, Anthropic, Perplexity. Ops: Salesforce, Slack, Gong, Outreach.
San Francisco, United States. Founded in 2020, the company employs 11–50 people and is privately held.
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