Millis AI

Build production-ready voice agents with ~600ms response latency for natural real-time conversations.

4.8 (4)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 5월

Low-Latency Telephony Real-Time Voice AI API Conversational AI Developer Platform

개요

Millis AI is a developer platform for creating advanced voice agents that handle phone calls, support flows, and interactive voice experiences. It focuses on minimizing end-to-end latency, targeting around 600ms response times so conversations feel fluid rather than scripted. The platform combines speech recognition, language model orchestration, and text-to-speech into a single pipeline, with tools for managing prompts, function calls, and integrations with telephony and backend systems. It is aimed at teams building customer-facing voice products without assembling the full stack from scratch.

주요 기능

~600ms response latency
Voice agent orchestration framework
Telephony and API integrations
Custom prompt and tool configuration
Real-time streaming audio handling
Support for multiple languages and voices

사용 사례

AI Phone Support Agents

Deploy voice agents that handle inbound customer support calls with natural, low-latency conversations, routing issues and triggering backend actions via function calls.

Outbound Call Automation

Build voice bots that perform outbound calls for appointment reminders, surveys, or lead qualification using telephony integrations and custom prompts.

Interactive Voice Experiences

Create real-time voice interfaces for apps or products where ~600ms response latency keeps dialogue fluid and human-like across multiple languages.

Voice-Driven Workflow Automation

Orchestrate STT, LLM, and TTS in a single pipeline to let users trigger backend systems, query databases, or complete transactions through spoken commands.

장단점

장점

Very low conversational latency
Unified pipeline for STT, LLM, and TTS
Supports function calling and integrations
Designed for production voice deployments

단점

Requires developer expertise to implement
Quality depends on chosen underlying models
Voice agent costs can scale with usage

리뷰

4.8

4개 평가의 평균.

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Nadia Petrova

Use it every day

Honestly didn't expect to like it this much. Real-time streaming audio handling is exactly what I needed, and very low conversational latency. but I reach for it almost every day now and it just clicks.

Aisha Khan

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on telephony and API integrations, and very low conversational latency caught me off guard. Requires developer expertise to implement is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Wei Chen

Does the job

Pretty happy overall. Support for multiple languages and voices just works and very low conversational latency. but no dealbreakers — I'd recommend it to a friend without hesitating.

Leila Hassan

Does the job

Pretty happy overall. Custom prompt and tool configuration just works and designed for production voice deployments. Requires developer expertise to implement can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.