Voice Operations Console: 680ms Median Latency Across 12 Languages

Brief

A real-time voice agent pipeline combining streaming speech recognition, LLM reasoning and streaming speech synthesis, handling thousands of live calls a day with full barge-in support.

Problem

Voice agents fail on latency before they fail on intelligence. Above roughly a second of silence, callers talk over the agent or hang up. An agent that cannot be interrupted mid-sentence reads as a phone tree, not a conversation.

Solution

• A streaming STT → LLM → TTS pipeline measured end to end at 680ms median, with every stage overlapping rather than queued.
• A barge-in and turn-taking model that handles natural human interruption instead of talking over it.
• Multilingual support across 12 languages, with per-tenant voice cloning so each brand keeps its own voice.
• A built-in analytics dashboard covering call quality, sentiment and outcome, so failures are visible rather than anecdotal.

Result

The pipeline runs at 680ms median end-to-end latency across more than 2,000 calls a day in 12 languages, with interruption handled as part of normal conversation.

Under the hood