Millis AI
Millis (ms) AI is a leading-edge platform designed for developers to create advanced LLM-based voice agents with super-low 600ms latency. It's well-known to be ...
Last verified:
What is Millis AI?
Millis AI is a platform for building next-generation voice agents with ultra-low latency, designed to make AI conversations feel instant and human-like. It emphasizes speed, affordability, and ease of use, with a reported response time around 600 ms and a pricing entry point of $0.02 per minute. The product is aimed at teams that want to turn voice ideas into working agents quickly, whether they are developers or non-technical users.
The site positions Millis AI as a complete voice-agent stack rather than a single feature. It supports no-code and low-code creation, natural-language prompts, and a few lines of code to build and deploy agents in minutes. It also supports temporary or predefined agents, session continuation, metadata injection, function/webhook calls, and event listeners for audio, transcripts, response text, latency, and connection lifecycle.
Millis AI is built for real-world deployments across phone, web, and embedded applications. The website highlights inbound and outbound phone calling in 100+ countries, web SDK integration, browser extensions, and deployment to web, mobile, and desktop apps. It also integrates with APIs, CRMs, scheduling tools, SaaS platforms, Make.com, and multiple voice and LLM providers.
The platform is especially suited for customer support automation, lead qualification, surveys, virtual receptionists, assistants, field work support, kiosks, wearable devices, and robotics. In short, it is for people who want to build conversational voice systems that are fast, flexible, and production-oriented without having to assemble every piece from scratch.
Millis AI pricing
Pricing model: Paid
The website says advanced voice AI starts at $0.02 per minute. The homepage presents this as affordable usage-based pricing for voice agents, but it does not clearly show a detailed free tier or a full plan comparison on the main page. A third-party integration page notes a free entry for Millis AI through Cal.com, while the official site highlights low-cost usage and sales/contact-based engagement for demos and partnerships. Based on the website, pricing appears to center on pay-as-you-go voice usage with separate costs likely tied to connected LLM, TTS, and STT services, though the homepage does not fully enumerate all inclusions.
Millis AI pros
- Ultra-low 600ms latency
- Human-like voice conversations
- Affordable starting price
- No-code creation
- Low-code creation
- Quick setup in minutes
- Supports predefined agents
- Supports temporary agents
- Session continuation support
- Metadata passing for personalization
- Function webhook support
- Flexible LLM provider choices
- Supports custom LLMs
- Multiple voice provider options
- Bring-your-own cloned voice
- Phone number integration
- Inbound and outbound calling
- 100+ countries coverage
- Web SDK available
- Embeddable widget support
- Works with web, mobile, and desktop deployments
- Integrates with Make.com
- Connects to CRMs and SaaS tools
- Event listeners for audio and transcript handling
Millis AI cons
- Pricing details are not fully shown on the homepage
- No obvious free tier on the main site
- Very developer-oriented for advanced use
- Some setup still requires technical configuration
- Best results likely depend on external provider accounts
- Voice quality varies by selected provider
- Real-time use depends on network stability
- Documentation is needed for deeper integrations
- Complex pricing can be harder to forecast by usage
- The site does not clearly list every included plan feature
Frequently asked questions about Millis AI
What is Millis AI used for?
Millis AI is used to build, deploy, and manage AI voice agents that can talk with users in real time. The site positions it for customer support, virtual receptionists, lead qualification, surveys, assistants, field work, kiosks, wearable devices, and robotics. It is designed to make voice interactions feel natural while keeping latency very low.
How fast is Millis AI?
Millis AI says it is optimized for about 600 ms latency, which it presents as one of its core differentiators. The homepage describes this as a near-gold-standard conversational response time and frames the product around instant, human-like interaction. The site also uses language like the fastest on the market and ultra-low latency.
Do I need to code to use Millis AI?
No, the platform is explicitly aimed at both no-code and low-code users. The website says you can create and deploy voice agents with natural-language prompts or a few lines of code. It also provides SDK-based deployment and configuration options for more technical users.
Can Millis AI connect to phone numbers?
Yes, the site says you can connect phone numbers for inbound and outbound calling in 100+ countries. This makes it suitable for phone-based support, sales follow-up, and reception workflows. The platform presents phone connectivity as part of its deploy-everywhere approach.
What integrations does Millis AI support?
Millis AI supports integrations through webhooks and can connect to APIs, calendars, CRMs, and SaaS platforms. The site also highlights Make.com integration for automation workflows. In addition, it supports multiple LLM providers and voice providers, which gives users more flexibility when assembling an agent.
Can I use my own voice or model?
Yes, the website says you can bring your own custom LLM model and also bring your own cloned voice. It also supports popular providers such as OpenAI, Mistral, Llama, ElevenLabs, PlayHT, and Cartesia. This makes the platform flexible for teams that want control over both intelligence and voice identity.
Does Millis AI work on the web?
Yes, it offers a Web SDK for integrating voice agents into web applications and browser extensions. The documentation shows how to create a client, start and stop conversations, and handle events like audio, transcripts, response text, and errors. The website also says it can be embedded directly into a web app.
Can Millis AI continue a previous conversation?
Yes, the Web SDK documentation includes session continuation through a previous session ID. This lets an agent reference earlier interactions and maintain continuity across sessions. The docs also allow metadata to be passed into a session and included in the prompt when needed.
What kinds of events can developers listen to?
The Web SDK exposes events such as onopen, onready, onaudio, onresponsetext, ontranscript, onfunction, analyzer, useraudioready, onlatency, onclose, and onerror. These events let developers monitor connection state, receive audio and transcript data, observe latency, and react to function calls. That makes it useful for building interactive voice experiences with detailed control.
Who is Millis AI best for?
Millis AI is best for developers, product teams, and businesses that want to launch real-time voice agents quickly. The site also makes it clear that non-technical users can build agents, but the strongest fit is for teams that need integrations, phone calling, web deployment, and production-ready voice automation. It is especially relevant for customer support, sales workflows, virtual assistants, and other conversational systems.