Conversational AI Assistant

Conversational AI enables natural, human-like phone conversations with AI. Unlike scripted IVR ('Press 1 for...'), conversational AI understands natural speech, maintains context, and responds intelligently. Callers just speak normally - the AI understands intent and responds appropriately.

Voice conversational AI handles real-time speech, not text. It includes speech-to-text, natural language understanding, response generation, and text-to-speech - all in under a second. It also handles voice-specific challenges like interruptions, background noise, and natural pauses.

We support GPT-4 (OpenAI), Claude 3 (Anthropic), Gemini (Google), and custom models. GPT-4 offers best reasoning, Gemini is fastest and most cost-effective, Claude excels at nuanced conversations. You can switch models anytime.

Our system maintains full conversation history during the call. The AI remembers previous exchanges, references earlier information, and builds on context. It can recall details like 'the appointment we discussed earlier' or 'the order you mentioned'.

Yes! Modern LLMs handle complex, multi-part queries well. They can understand nuance, ask clarifying questions, and reason through problems. For truly complex cases, the AI can seamlessly escalate to humans with full context.

Intent detection accuracy is typically 90-95% for well-defined use cases. The system handles variations in phrasing, accents, and natural speech patterns. Continuous learning improves accuracy over time.

Yes! We've optimized for Indian English accents and support 8+ Indian languages including Hindi, Tamil, Telugu, Bengali, Marathi, and Gujarati. The AI handles code-switching (Hinglish) naturally.

End-to-end latency (speech in → speech out) is typically 800ms-1.5 seconds. This includes speech recognition, LLM processing, and speech synthesis. Fast enough for natural conversation flow.