You will get a scalable Voice AI SaaS platform with real-time AI agents
Project details
## Project Summary
Build a production-ready **Voice AI SaaS platform** with real-time AI voice agents, telephony integration, conversational AI, and scalable backend infrastructure.
I specialize in building end-to-end Voice AI systems — from **SIP/telephony and WebRTC media transport to streaming STT, LLM conversation logic, RAG, tool calling, and TTS**. I can build your platform from an MVP to a Vapi-like multi-agent SaaS solution.
Depending on your package, I can include **LiveKit, Twilio, Deepgram, ElevenLabs, OpenAI, RAG, FastAPI, WebSockets, databases, APIs, analytics, monitoring, and AWS deployment**.
What makes my service different is my focus on **real-time performance and production reliability**, not just demos. I have built conversational voice platforms with sub-1-second response latency and worked on production debugging, fallback mechanisms, and scalable deployment.
Whether you need an AI receptionist, sales agent, customer-support bot, interview agent, appointment agent, or a complete Voice AI SaaS platform, I can design and build the solution around your requirements.
Build a production-ready **Voice AI SaaS platform** with real-time AI voice agents, telephony integration, conversational AI, and scalable backend infrastructure.
I specialize in building end-to-end Voice AI systems — from **SIP/telephony and WebRTC media transport to streaming STT, LLM conversation logic, RAG, tool calling, and TTS**. I can build your platform from an MVP to a Vapi-like multi-agent SaaS solution.
Depending on your package, I can include **LiveKit, Twilio, Deepgram, ElevenLabs, OpenAI, RAG, FastAPI, WebSockets, databases, APIs, analytics, monitoring, and AWS deployment**.
What makes my service different is my focus on **real-time performance and production reliability**, not just demos. I have built conversational voice platforms with sub-1-second response latency and worked on production debugging, fallback mechanisms, and scalable deployment.
Whether you need an AI receptionist, sales agent, customer-support bot, interview agent, appointment agent, or a complete Voice AI SaaS platform, I can design and build the solution around your requirements.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, Machine Translation, Natural Language Generation, Natural Language Understanding, Sequence Modeling, Speech Synthesis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Streamlit, TensorFlowAI Models
AlphaCode, BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$1,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | 30 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | ||
Source Code | - |
Frequently asked questions
About Narendra
Voice AI Engineer | Conversational AI, LiveKit, Twilio, SIP & AI Voice
Bengaluru, India - 3:59 am local time
I build voice AI solutions end-to-end — from telephony/SIP and WebRTC media transport to streaming STT, LLM-based conversation logic, RAG, tool calling, and TTS.
🚀 What I can build for you:
• AI Voice Agents for inbound & outbound calls
• Real-time conversational AI with low latency
• Customer support & sales voicebots
• AI interview and recruitment agents
• Appointment booking and lead qualification agents
• Multilingual voice assistants
• RAG-powered voice agents
• AI-to-human handoff workflows
• Custom conversational AI platforms
🛠️ My core technology stack:
• Voice AI: LiveKit, Retell AI, Vapi, Synthflow
• Telephony: Twilio, SIP, RTP, WebRTC, Jambonz
• STT/TTS: Deepgram, ElevenLabs, Whisper
• LLMs: OpenAI and other LLM platforms
• AI/RAG: LangChain, RAG, Pinecone, semantic search
• Backend: Python, FastAPI, Node.js, WebSockets
• Cloud & DevOps: AWS, Docker, CI/CD
I have built and deployed real-time conversational voice platforms with sub-1-second response latency, including multilingual voice systems and AI-powered interview platforms. I also work on production debugging, reliability, fallback mechanisms, monitoring, and latency optimization — not just prototypes.
If you already have a voice AI product that is slow, unreliable, difficult to scale, or not behaving naturally, I can help diagnose the exact pipeline stage and improve it.
Let’s build a voice AI system that actually works in production.
Steps for completing your project
After purchasing the project, send requirements so Narendra can start the project.
Delivery time starts when Narendra receives requirements from you.
Narendra works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Architecture
Review your requirements, define the Voice AI architecture, select the required AI, STT, TTS, and telephony components, and create the implementation plan.
Voice AI Development
Build the real-time voice pipeline with LLM, STT, TTS, conversation logic, prompts, tool calling, and session management.