# Millis AI Millis AI is a low-latency voice-agent platform for building LLM voice apps across phone, web, mobile, desktop, and widgets. - Findings24: - Website: - Pricing: Freemium - Categories: AI Code Assistant, AI App Builder, AI Voice Generator ## What is Millis AI? 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. ## What can Millis AI do? ### 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. ## 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. ## Frequently Asked Questions ### 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? Millis charges a platform base fee of $0.02 per minute, plus the costs of the selected LLM, text-to-speech and speech-to-text providers. The total depends on the configuration and usage; consult the current pricing breakdown at docs.millis.ai/pricing. ## Quick Facts - **Category**: Voice agent platform - **Primary users**: Developers and non-technical builders - **Latency claim**: 600ms latency target - **Deployment surfaces**: Phone, web, mobile, desktop, widget - **Integrations**: Webhooks, Make.com, APIs, CRM, scheduling tools - **Source domain**: millis.ai