Voicing Cracks Sub-70 Millisecond Voice Response Barrier

Voicing AI, a Silicon Valley startup building agentic artificial intelligence for enterprise voice automation, says its newest speech model now responds in less than 70 milliseconds.

The breakthrough comes from Kat, Voicing AI's flagship text-to-speech engine, which pairs high speed with a mean opinion score above 4.6 for naturalness and clarity. Independent benchmarking shows the model achieves up to 79 percent faster response times than competitors while maintaining superior quality scores across all sentence types, from short confirmations to complex explanations.

"People don't measure latency in milliseconds. They just know when it feels instant," said Abhi Kumar, Voicing AI's founder, in a statement. "When your customer hears a voice reply in the same rhythm as human conversation, the experience changes completely."

Voicing AI's models feature a sophisticated six-stage intelligent pipeline that includes linguistic analysis, style conditioning, and adversarial feedback loops . The platform's speech-to-text engine, purpose-built for telephony environments, achieves 50 percent better accuracy on noisy calls compared to generic solutions, with built-in speaker diarization and real-time PII redaction.

Voicing AI's models are built for more than just talking back. They're trained to retrieve information, trigger APIs, and handle multi-step requests in the same conversation.

Voicing AI also includes emotionally intelligent synthesis. Kat dynamically adapts tone and emotion to conversation context—apologetic for service issues, enthusiastic for promotions, empathetic for complaints. The system supports more than 40 languages with native-level accuracy and seamless code-switching, all through a unified multilingual architecture rather than bolted-on language models.