Millis AI is a platform for building advanced LLM-based voice agents with ultra-low 600ms latency, enabling natural conversations across various applications. It supports no-code and low-code creation, allowing deployment in minutes via prompts or code. The tool integrates phone numbers for calls in over 100 countries and uses webhooks for API connections to calendars, CRMs, and SaaS platforms. Pricing starts at $0.02 per minute, making it accessible for projects of different scales.

Key features include optimized latency for seamless interactions, session continuation to maintain context, and dynamic variables for flexible inputs. It handles interruptions and intent recognition, improving dialogue flow. Users can select from multiple LLMs, with the system choosing low-latency options automatically. Global telephony support enhances accessibility for international operations.

Competitors like Vapi offer similar agent building but with potentially higher costs and different integration focuses. Bland AI provides reliable voice solutions, though it may not match Millis AIs emphasis on minimal latency. Retell AI excels in conversational depth but requires more configuration for comparable speed.

Users may like the affordability and quick setup, which suit rapid prototyping. The platform’s scalability supports enterprise needs without performance drops. However, initial configuration demands some technical knowledge, and there’s no free plan, limiting casual testing. Voice options depend on third-party providers, restricting built-in variety.

For implementation, Millis AI offers detailed guides for integrations, aiding smooth deployment. It ensures high reliability in production environments. Start by defining agent prompts clearly to leverage its natural language capabilities effectively.