Théophane Gregoir@theogreg

Ringy turns any support call into structured data and actionable UI. Real-time speech-to-text (powered by Whisper and Groq) captures the conversation. A Llama3-powered backend generates suggested replies and flags transactional intents (refund, scheduling, data lookup). One click runs the action through pre-wired integrations—Stripe and Google Workspace—so agents never leave the screen, cutting context-switch overhead and lifting throughput by a verified factor five. Next milestones: ingest corporate knowledge bases (Notion, Confluence, Jira, compliance PDFs), auto-derive decision trees for consistent answers, enable full AI-first response with human confirmation, and add live TTS for agentless sessions. Further connectors: Microsoft 365, extra payment rails, expanded ticketing APIs. Built in 2 days from the ground up on Vultr with Groq inference. Security: SSO, encrypted transit/storage, per-tenant isolation.

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