Millis AI

Millis AI is a voice-agent platform for low-latency LLM voice apps. Build with no-code, low-code or code, and deploy to phone, web, mobile, desktop and widgets.

AI Voice Assistants AI Agent Development No-Code & Low-Code

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Overview

Millis AI is a voice-agent platform for building LLM-based voice applications with low latency. The homepage positions it for both developers and non-technical users who want to create and deploy voice agents without assembling separate tools for model, voice, telephony, and integration layers.

The product page emphasizes a 600ms latency target and says agents can be created and deployed in minutes using natural language prompts or a few lines of code. It also describes phone-number calling, webhook-based integrations, and deployment to web, mobile, desktop, and embedded widget surfaces.

Core capabilities

No-code and code-based agent creation

Build and customize voice agents with no-code or low-code flows, or use a few lines of code. The site says this works for both technical and non-technical users.

Phone-number deployment

Connect phone numbers to AI voice agents for inbound and outbound calls in more than 100 countries. This supports call-based use cases without building telephony plumbing from scratch.

Webhook-based service integration

Use webhooks to connect voice agents to external APIs and services such as calendars, CRM systems, and SaaS platforms. The product page also mentions Make.com integration.

LLM model connectivity

Choose from model options including OpenAI, Mistral, and Llama, or bring your own custom LLM model. This keeps the platform flexible across different model preferences.

Voice selection and cloning

Select natural voices from providers such as ElevenLabs, PlayHT, and Cartesia, or bring a cloned voice. The source presents voice selection as part of the setup flow.

Multi-surface deployment

Deploy to web, mobile, desktop, or phone systems, including an embeddable widget for web apps. The product page describes this as a multi-surface deployment path.

Common use cases

Phone-based voice agents
Automate inbound and outbound call flows with an AI voice agent connected to a phone number, suitable for support lines, outreach, and call handling in multiple countries.
Support and sales workflows
Build customer support or sales agents that qualify leads, collect information, and route or follow up on calls using external systems such as CRMs and calendars.
Product-integrated assistants
Create assistants that operate inside web, mobile, or desktop products by embedding the agent or connecting through SDK-based deployment paths.
Rapid prototyping
Use natural language prompts or a small amount of code to stand up a voice agent quickly, which fits teams that want to prototype before committing to a deeper build.
Embedded and device experiences
Add a custom voice layer to kiosks, wearables, or robots where speech-to-speech interaction is important and the product needs a natural voice interface.

Pros and Cons

Pros

Supports both no-code/low-code and code-based setup.
Covers voice, model, telephony, and deployment layers in one product.
Includes phone-number calling for inbound and outbound use cases in 100+ countries.
Offers webhook-style connections to external tools and APIs.
Lists multiple model and voice provider options, including BYO model and cloned voice support.

Cons

The collected sources do not include a working pricing page, so plan structure and tier details are unclear.
The evidence is light on documentation for deeper workflows, limits, and admin features.
The site mentions integrations and deployment surfaces, but the collected sources do not provide a full technical reference or full app docs.

FAQ

What is Millis AI used for?

Millis AI is positioned as a platform for building advanced LLM-based voice applications and voice agents with low latency. The homepage describes options for no-code, low-code, and code-based creation, plus deployment through phone numbers, web apps, mobile apps, desktop apps, and an embeddable widget.

How quickly can someone get started?

The homepage says developers or non-technical users can create and deploy voice agents in about 5 minutes using natural language prompts or a few lines of code.

Can it connect to phone systems and other tools?

Millis AI says it connects with phone numbers for inbound and outbound calls in 100+ countries, and it can integrate with other services through webhooks.

Which models and voices does it support?

The site says Millis AI supports top LLM providers such as OpenAI, open-source models like Mistral and Llama, or a custom LLM model. It also mentions voice providers including ElevenLabs, PlayHT, and Cartesia, plus cloned voice support.

What does Millis AI cost?

A pricing line on the homepage says advanced voice AI starts at $0.02/min. The separate /pricing page was not available, so this is the only pricing detail visible in the collected sources.