Low-latency voice AI aims to replicate the natural flow of human conversation by achieving response times under 300 milliseconds from the moment a speaker stops talking to when the AI begins its reply. This mirrors human conversational timing and enhances user trust and engagement. The technology relies on an integrated system of streaming speech-to-text, real-time language processing, and text-to-speech synthesis to minimize delays at each stage. Key sectors benefiting from this include contact centers, healthcare, financial services, and interactive media, where quick AI responses improve customer satisfaction, reduce operational costs, and maintain engagement. Advanced architectures, such as Deepgram's, ensure consistent sub-300ms performance across multiple simultaneous calls, contributing to significant business benefits like lower abandonment rates and enhanced security. This is facilitated by real-time transcription, model compression, and network optimization, which together deliver high accuracy and low latency, ultimately providing a seamless conversational experience that mirrors human interaction.