Sujantivo
Voice AI Case Study

Sub-300ms Conversational
Voice AI for E-Commerce.

A global retail marketplace handling 50,000+ daily customer calls was struggling with high call center wait times. We engineered an ultra-fast WebRTC voice AI pipeline handling 12,000 concurrent calls with human-like turn-taking.

< 300ms
Voice Latency
Human-like natural turn-taking
12,000+
Concurrent Calls
Zero dropped audio packets
82%
First-Contact Resolution
Without escalating to humans
65%
Support Cost Reduction
Immediate unit economic payback
THE BOTTLENECK

18-minute average wait times during seasonal surges.

Customer satisfaction plummeted to 68% during holiday spikes as call centers became overwhelmed. Traditional IVRs caused customer frustration, while previous voicebots suffered from 1.5s robotic delays.

THE ARCHITECTURE

Streaming WebRTC with continuous interruption handling.

We connected LiveKit WebRTC, Deepgram Nova-2, Groq LPU inference, and Cartesia Sonic speech synthesis. The agent pauses instantly when interrupted by the user and executes real-time order tracking and refunds.

TECHNICAL COMPONENTS

Sub-300ms voice pipeline stack.

Ultra-Low Latency Audio Stream (WebRTC)

LiveKit, WebRTC, Opus Audio Codec

Bidirectional WebRTC audio streaming over secure UDP with dynamic jitter buffer management and echo cancellation.

Sub-100ms Speech-to-Text (STT)

Deepgram Streaming API, Silero VAD

Deepgram Nova-2 streaming speech recognition with domain-adapted terminology dictionaries and instant voice activity detection (VAD).

Streaming LLM Orchestrator

Groq Hardware, vLLM, LangGraph

Groq LPU-accelerated Llama 3.3 70B generating structured conversational responses in under 80ms first-token time.

Expressive Neural Text-to-Speech (TTS)

Cartesia Sonic, ElevenLabs Streaming

Cartesia Sonic and ElevenLabs streaming speech synthesis matching emotion, inflection, and natural conversational pauses.

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