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Case study · Customer service

AIVA Chat
Launch voice and chat AI assistants in minutes

A platform to instantly create and deploy voice chatbots and embeddable chat widgets, with full call recordings, detailed logs, and analytics to automate customer communication.

Industry
Customer service
Year
2024
Capabilities
AI agents & LLM apps, Voice AI, Web & SaaS platforms
Built with
React.js, Node.js, PostgreSQL, OpenAI +3
500+
AI agents deployed
1M+
Call minutes processed
99%
Call connection reliability
01 / 03
The problem

What needed to change,
and what made it hard.

AIVA Chat makes it effortless to deploy AI-powered voice and chat assistants. Create a voice chatbot by entering a number and a prompt, embed a chat widget on any website with minimal setup, and enable voice call assistants complete with recordings and detailed interaction logs. Built-in analytics track performance and user engagement, while full automation handles both voice and chat to streamline customer communication.

  1. Challenge 01

    Real-time audio streaming latency between Twilio and OpenAI

    How we solved itOptimised the audio pipeline by streaming MP3 chunks directly to OpenAI's Whisper API in parallel with TTS, reducing perceived latency to under 800ms.

02 / 03
What we built

4 core features,
shipped as one product.

  • Instant Voice Chatbot Creation

    Create voice chatbots instantly by entering a phone number and providing a prompt — no technical setup required.

  • Embeddable Chat Widget

    Embed a chat widget on any website with minimal setup — just add basic site details and generate the script.

  • Voice Call Assistant with Recordings

    Enable voice call assistants with full call recordings and detailed interaction logs for every conversation.

  • Analytics & Engagement Tracking

    Access analytics to track performance, user interactions, and engagement metrics across all voice and chat channels.

Stack

Frontend
React.js
Backend
Node.jsRedis
AI & Voice
OpenAITwilio
Database
PostgreSQL
Real-time
WebSocket
03 / 03
The result

What changed
once it was live.

  • 500+
    AI agents deployed
  • 1M+
    Call minutes processed
  • 99%
    Call connection reliability
Live product
aivachat.io
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