Voice AI AgentsCalls That Handle Themselves.

A voice AI agent is a member of the team that picks up the phone. The work is the speech-to-text, the language model, the text-to-speech, the telephony, the turn-taking, the barge-in, the hold, the transfer, the audit log. The phone call is the product, and every part of it has to be engineered.

We build voice AI agents with the telephony, the STT, the LLM, the TTS, the eval suite and the audit log as part of the architecture from sprint one. The output is a voice agent that handles the call, not a demo that works once and then breaks on the second call.

This is the wrong engagement if the call volume does not justify the build. Voice agents are a serious investment, and the right answer for a low-volume use case is a human team or a simple IVR.

• Sub-Second Turn-Taking — The conversation dynamics that make the call feel like a call, not a hold queue.
• Telephony Native — A native integration with the phone network, not a side-channel tool.
• Barge-In & Hold — Barge-in, hold, transfer — the conversation dynamics the use case needs.
• Audit-Logged — Every call logged with the transcript, the actions and the user, for the QA the team needs.