Millis AI provides a no-code/low-code platform for developers to create LLM-based voice agents with a latency of just 600ms, enabling real-time, human-like interactions. This solution addresses the challenges of high latency and complexity in voice AI applications, making it suitable for customer support, virtual assistants, and voice response systems.
Funding
Funding not disclosed
Founders
Product
Problem
Existing voice AI solutions often suffer from high latency, resulting in unnatural and disjointed conversations. The complexity of developing and deploying these systems also presents a barrier to entry for many developers and businesses.
Solution
Millis AI offers a no-code/low-code platform designed to streamline the creation and deployment of LLM-based voice agents. The platform focuses on achieving ultra-low latency, around 600ms, to enable real-time, human-like interactions. By simplifying the development process and providing tools for integration with various services, Millis AI aims to make advanced voice AI accessible to a wider range of users and applications. The platform supports integrations with various LLM providers, voice providers, and deployment options, offering flexibility and customization.
Target Audience
The primary target audience includes developers, businesses, and innovators looking to implement voice AI solutions for customer support, virtual assistants, voice-enabled devices, and other applications.
Features
- No-code/low-code interface for rapid agent creation and customization
- Ultra-low latency (600ms) for natural, real-time conversations
- Phone number connectivity for inbound/outbound calls in 100+ countries
- Integration with LLM providers such as OpenAI, Mistral, and Llama, as well as support for custom LLMs
- Wide selection of natural-sounding voices from providers like ElevenLabs, PlayHT, and Cartesia, with the option to use cloned voices
- Webhooks for connecting to external APIs, calendars, CRMs, and SaaS platforms
- Deployment options for web, mobile, and desktop applications via SDKs, as well as embeddable widgets
- Integration with Make.com for automation workflows