Zudu - Enterprise Voice AI Platform
Voice AI agents handling calls in 80+ languages
Visit Zudu AI80+
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
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