Just Dial
Built AI-powered virtual tele-marketing executives capable of handling inbound and outbound calls autonomously, working alongside 8,000+ human agents. These voice agents leverage RAG, real-time speech processing, and intelligent conversation management to engage customers naturally.
Just Dial's tele-marketing operation employs 8,000+ human agents handling massive call volumes. Scaling further with human agents alone is costly, and coverage gaps during off-hours lead to missed opportunities. The goal was to build AI voice agents that could autonomously handle routine calls, sharing the workload and providing 24/7 availability.
Low-latency speech-to-text and text-to-speech pipeline enabling natural, real-time voice conversations with customers.
Retrieval-augmented generation over product catalogs, pricing, and business information for accurate, context-aware answers.
AI decides when to handle a call autonomously vs. when to transfer to a human agent, ensuring complex queries get human attention.
Handles both incoming customer calls and proactive outbound campaigns with configurable scripts and conversation flows.
WebSocket-based real-time audio streaming with STT/TTS integration, keeping latency under acceptable thresholds for natural conversation flow.
LLM-powered conversation management with RAG context injection, handling multi-turn dialogues, objection handling, and call summarization.
Concurrent call handling with automatic failover, call recording, and post-call analytics for continuous improvement.
I've shipped real-time voice agents at enterprise scale. Let's talk about your use case.