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.
Millis AI est une plateforme d’agents vocaux à faible latence pour créer des applications vocales LLM et les déployer sur téléphone, web, mobile, bureau et widgets.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Create assistants that operate inside web, mobile, or desktop products by embedding the agent or connecting through SDK-based deployment paths.
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.
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.
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.
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.
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.
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.
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.
Les données de trafic sont fournies à titre indicatif uniquement.
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