Creative Codes
AI/MLAutomation

Zudu - Enterprise Voice AI Platform

Voice AI agents handling calls in 80+ languages

Visit Zudu AI

80+

Languages

Sub-500ms

Latency

HIPAA, GDPR, SOC2

Compliance

10+

Industries

The Problem

Zudu needed backend engineering for their enterprise voice AI platform. The system handles real-time voice conversations across multiple languages with sub-500ms latency requirements, plus strict compliance standards for healthcare and finance clients.

Our Approach

Built core backend services using FastAPI for the real-time inference pipeline and Next.js for the dashboard. Flask handles lighter internal services. The architecture supports concurrent voice sessions with low-latency AI responses, language detection, and real-time transcription.

Pipeline Breakdown

01 · Collect

  • Real-time voice input
  • Multi-language detection
  • Call metadata

02 · Process

  • LLM-powered conversation engine
  • Speech-to-text
  • Intent classification

03 · Act

  • Sub-500ms voice responses
  • Call analytics dashboard
  • CRM integrations

Have a similar problem? Let's talk.

← Back to all work