All Case Studies
AI, Voice & Bots Voice Agent 2025–2026 AI Systems Engineer & Voice Architect Commercial Real Estate & Enterprise Clients

Multi-Tenant Real-Time Voice AI & Telephony Platform

Ultra-low latency (<800ms) bidirectional conversational voice assistant powered by LiveKit WebRTC, Retell AI, and OpenAI Realtime WebSockets with multi-tenant isolation.

LIVE WEBRTC SESSION • FULL-DUPLEX AUDIO STREAM
ROOM: livekit-sfu-tenant-01 // BITRATE: 48kHz OPUS
Turnaround Latency <800ms
Interruption Engine Zero-Latency VAD
Audio Transport Bidirectional WebSockets
Multi-Tenancy Isolated Virtual Rooms
AUDIO STREAM SPECTRUM
Human Voice Ingestion ⇄ Real-Time Neural Synthesis • 760ms Turnaround
// 01. EXECUTIVE SUMMARY

Problem Statement & High-Level Architecture

Engineered an enterprise real-time voice AI assistant capable of holding fluid, natural telephone and web voice conversations with sub-800ms response latency, automated speech-to-text transcription, dynamic CRM tool calling, and tenant isolation across commercial brands.

// 02. SYSTEM ARCHITECTURE

Engineering Design & Data Pipeline

Full-Duplex WebRTC Telephony Streaming Loop
Caller Audio
PSTN Phone / WebRTC Browser Mic
WebRTC / SIP
⇄ Zero-Copy
LiveKit SFU
Low-Latency Media Gateway & Audio Buffer
48kHz Opus
⇄ VAD Stream
OpenAI Realtime
Multimodal Speech-to-Speech Engine
Bidirectional WS
⇄ Tool Call RPC
CRM & Tool Engine
Lead Routing & Multi-Tenant Knowledge
FastAPI / Webhooks

The platform interfaces with LiveKit WebRTC audio rooms, Retell AI, and OpenAI real-time WebSockets to stream audio buffers bidirectionally. Engineered with Python, Django, and asynchronous event loops, custom agent routines dynamically inject tenant-specific knowledge bases, trigger API tool calls, log conversation transcripts, and route warm leads directly into client CRMs.

// 03. CORE CAPABILITIES

Platform Features & Technical Capabilities

01

Bidirectional WebSocket & LiveKit WebRTC audio streaming for near-instant conversational latency (<800ms)

02

Multi-tenant tenant routing isolating system prompts, knowledge bases, and webhooks per client brand

03

Dynamic agent prompt definitions with custom function calling & API tool execution

04

Real-time speech-to-text (STT) and neural text-to-speech (TTS) voice synthesis with instant interruption handling

05

Automated call transcription logging, sentiment tagging, and CRM synchronization

// 04. DEEP-DIVE CHALLENGES

Engineering Bottlenecks & Architectural Solutions

The Engineering Bottlenecks

Eliminating conversational audio lag, handling acoustic room echoes, and routing multiple enterprise tenants through a single scalable voice backend.

  • High latency across traditional sequential STT → LLM → TTS voice pipelines.
  • Acoustic echoes causing self-interruption in open speaker environments.
  • Tenant prompt cross-talk and memory leakage in multi-tenant telephony servers.
The Architectural Solution

Implemented optimized WebRTC audio buffering, server-side voice activity detection (VAD), and tenant-isolated routing middleware with asynchronous event loops.

  • Sub-800ms full-duplex conversational turnaround via LiveKit WebRTC and OpenAI Realtime.
  • Real-time server-side Silero VAD halting synthesis speech instantly on user barge-in.
  • Isolated virtual rooms with strict tenant-scoped tool and CRM sandboxes.
// 05. QUANTIFIED BENCHMARKS

Key Results & System Impact

<800ms Voice Latency
Measured System Telemetry
99.9% Call Completion Rate
Measured System Telemetry
Multi-Tenant Isolation
Measured System Telemetry
Automated Tool Calling
Measured System Telemetry
Chat on WhatsApp