Zudu - Enterprise Voice AI Platform

The Problem

Zudu needed a backend engineer to build the core infrastructure for their enterprise voice AI platform. Their clients in healthcare and finance required strict compliance from day one: HIPAA, GDPR, and SOC2. The system had to handle real-time voice conversations across 80+ languages with a sub-500ms latency SLA — compliance and performance requirements that had to be designed in together, not bolted on separately.

Our Approach

Built the real-time inference pipeline in FastAPI, with WebSocket connections managing per-session audio streams. Language detection feeds the session-appropriate Deepgram STT model at session start, so the right transcription model is loaded before the caller speaks. ElevenLabs handles TTS with voice profiles matched per locale. Compliance controls — call recording encryption, consent flags, data retention rules — are middleware layers rather than application logic, so they apply uniformly across all call handlers. Next.js dashboard surfaces call analytics and session health.

Pipeline Breakdown