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Work / Voice AI

Voice AI we've deployed

Voice bots, IVR systems, and AI calling platforms built with Twilio, Amazon Lex, and Amazon Connect.

Our Voice AI services →All case studies
Aiva-Ai
Voice AI

Aiva-Ai

Platform for managing AI voice assistants with Twilio calling, real-time call logs, AI-to-AI chats, and a credit-based usage system.

React.jsNode.jsPostgreSQLOpenAI
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QuickReviews
Conversational AI

QuickReviews

AI-driven customer support using Amazon Lex and Connect — automates voice interactions and chatbot flows with a custom embeddable widget.

Vue.jsAmazon LexAmazon ConnectAWS API Gateway
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PCO Intelligence
Conversational AI

PCO Intelligence

Scalable voice AI customer service combining Amazon Lex intelligent conversations with Amazon Connect cloud call center infrastructure.

AWS LambdaAmazon LexAmazon ConnectAWS API Gateway
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FrontDesk Clinic
Healthcare

FrontDesk Clinic

Voice AI for healthcare — automates appointment scheduling, prescription refill reminders, and patient onboarding via Twilio voice.

AngularNode.jsPostgreSQLOpenAI
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Why Choose Voice AI

Everything you need for voice at scale

Our Voice AI Agents are built to handle real business demands — from high-volume support to nuanced sales conversations.

⚡

Faster Responses

Sub-300ms response latency ensures your customers never experience awkward pauses. Responses feel instant and natural, just like talking to a real person.

Speed
📡

Ultra-Low Voice AI Latency

End-to-end pipeline — ASR → NLU → Response → TTS — optimised to deliver under 300ms. No dropped context, no lag, no frustrated callers.

Performance
🌙

Always Available 24/7

No shifts, no sick days, no overtime. Your Voice AI Agent handles customer inquiries around the clock — midnight support tickets included.

Availability
📈

Scalable Conversations

Handle 1 call or 10,000 simultaneously with zero quality degradation. Scale during product launches, peak seasons, or outages without adding headcount.

Scale
🧠

More Human-Like Engagement

Natural prosody, contextual awareness, and emotional intelligence make every interaction feel warm and genuine — not robotic or scripted.

Experience
Under the Hood

How Voice AI Agents work

Five tightly integrated stages transform spoken words into intelligent, real-time action in milliseconds.

01
Speech Recognition (ASR)
The customer's voice is captured and instantly converted to text using neural ASR models (like Whisper or Deepgram) with 95%+ accuracy — even through accents and background noise.
02
Intent & Language Understanding (NLU)
Transformer-based models analyse the text in full context, identifying intent, sentiment, key entities, and what action needs to be taken — not just what was said.
03
AI Response Generation
The agent fetches relevant data from your knowledge base or integrated systems, generates a contextually accurate response, and applies safety checks before speaking.
04
Text-to-Speech (TTS)
The response is converted to natural, expressive speech using deep neural TTS (ElevenLabs, OpenAI TTS). Prosody, rhythm, and intonation make it sound genuinely human.
05
Action & Continuous Learning
The agent executes tasks (book an appointment, update a record, send a confirmation), then improves from every interaction through feedback loops and self-learning.
Agent State Visualization

Real-time AI behavior, visualized

Watch how the agent transitions between states — from idle readiness to active listening, processing, speaking, and handling interruptions. Click any state to preview it.

Agent is calm and waiting — ready for the user to begin.
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