Four/Four is an AI‑driven platform that captures, transcribes, and analyzes customer conversations across calls, emails, tickets, and chat, automatically extracting insights such as pains, needs, feature requests, and competitive mentions. It lets product, sales, marketing, and customer‑success teams query this unified data in natural language, generate PRDs, market segmentation reports, and sales messaging with source citations, and route insights to tools like Slack, Jira, or CRM systems via code‑free workflows.
Funding
$382.8K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Product, sales, marketing, and customer‑success teams often drown in unstructured customer conversations across calls, emails, tickets, and chat, making it difficult to extract reliable insights, prioritize features, and align on strategy. Manual transcription and analysis are time‑consuming, error‑prone, and prevent teams from acting on real‑time customer feedback.
Solution
Four/Four provides an AI‑driven platform that automatically captures, transcribes, and analyzes every customer interaction across the entire tech stack. Using structured frameworks such as Jobs‑to‑Be‑Done, MEDDIC, and SPICED, the system extracts pains, needs, feature requests, and competitive mentions, linking each insight to the exact moment in the conversation. Users can query the aggregated data in natural language, generate product requirement documents, market segmentation reports, or sales messaging in minutes, all with citation‑backed evidence. Visual automation flows enable real‑time routing of insights to tools like Slack, Jira, or email without code. Integrated dashboards track sentiment and trend changes over time, giving teams a single source of truth for evidence‑based decision‑making.
Target Audience
Primary customers are product managers, product development teams, and commercial functions (sales, marketing, and customer success) in B2B technology companies that need scalable, data‑driven insight from customer conversations.
Features
- AI Analyst that answers natural‑language queries on conversations, generating PRDs, presentations, and segment analyses with source citations
- Automatic extraction of jobs, pains, needs, solutions, and feature requests using proven JTBD, MEDDIC, and SPICED frameworks
- Topic Sets that cluster insights into themes, showing account, role, and industry breakdowns
- Visual Workflow engine for code‑free automation, routing insights to Slack, Email, Jira, webhooks, or updating CRM fields
- Monitor dashboards with multi‑series time‑series charts to track feedback trends across any segment
- Integrated Notetaker that auto‑joins Zoom, Teams, or Google Meet, records, transcribes with speaker identification, and extracts insights
- 30+ native integrations (Salesforce, HubSpot, Microsoft Dynamics, Gong, Chorus, Zendesk, Intercom, Jira, Productboard, Slack, etc.) for seamless data ingestion and output
- Model Context Protocol (MCP) server allowing external AI agents (Claude, ChatGPT) to query the customer intelligence store directly