ElevenLabs Debuts Conversational AI 2.0 With Multimodal Voice Agents, Multilingual Support, and Enterprise-Grade Security

ElevenLabs Launches Conversational AI 2.0

AI continues to improve, especially in speech and voice technologies relevant to customer support roles. ElevenLabs, a startup founded by former Palantir engineers, recently introduced Conversational AI 2.0. This upgrade enhances their platform for creating advanced voice agents tailored for enterprises, including customer support centers, call centers, and sales outreach.

What’s New in Conversational AI 2.0?

The update focuses on making voice interactions more natural, intelligent, and secure, meeting the needs of enterprise environments. It arrives just months after the first version, showcasing ElevenLabs’ commitment to quick progress. Notably, it also responds to competitive launches and open-source developments in AI voice models, proving its relevance.

Improved Natural Conversation Flow

The platform’s new turn-taking model stands out. It monitors conversational cues like hesitations and filler words to decide when the AI should speak or listen. This results in smoother, more human-like interactions without awkward pauses or interruptions. For customer support teams, it means agents can respond quickly while maintaining a natural conversation pace.

Seamless Multilingual Support

Conversational AI 2.0 integrates automatic language detection, allowing conversations in multiple languages without manual setup. The AI recognizes the user’s language and switches accordingly within the same interaction. This feature is particularly helpful for global customer support operations, reducing language barriers and improving service consistency.

Access to Real-Time Information with RAG

A built-in Retrieval-Augmented Generation (RAG) system enables the AI to fetch relevant data from external knowledge bases instantly. For customer service, this means agents can provide accurate, up-to-date answers by accessing internal product documents or guidelines on the spot. The system maintains low latency and strong privacy controls, essential for sensitive industries like healthcare.

Versatile Communication and Personas

The platform supports multimodal communication, allowing agents to interact via voice, text, or both. This flexibility simplifies development since agents only need to be configured once for multiple channels. Additionally, multi-character mode lets a single agent switch between different personas, useful for training, creative projects, or engaging customers in varied ways.

Efficient Batch Outbound Calling

For teams handling outreach, the platform now supports batch outbound calls. This lets organizations run multiple calls simultaneously using Conversational AI agents. It’s effective for surveys, alerts, or delivering personalized messages, helping customer support scale their operations with less manual effort.

Enterprise-Grade Security and Compliance

Security and compliance are priorities in Conversational AI 2.0. The platform is HIPAA-compliant, meeting healthcare privacy standards, and offers optional EU data residency to align with European data laws. It’s built for reliability and integrates smoothly with existing enterprise systems, making it a trustworthy choice for sensitive customer support environments.

Pricing Plans Overview

• Free: $0/month, 15 minutes, 4 concurrency limit, requires attribution, no commercial use.
• Starter: $5/month, 50 minutes, 6 concurrency limit.
• Creator: $11/month (discounted from $22), 250 minutes, 6 concurrency limit, ~$0.12 per additional minute.
• Pro: $99/month, 1,100 minutes, 10 concurrency limit, ~$0.11 per additional minute.
• Scale: $330/month, 3,600 minutes, 20 concurrency limit, ~$0.10 per additional minute.
• Business: $1,320/month, 13,750 minutes, 30 concurrency limit, ~$0.096 per additional minute.

What This Means for Customer Support Professionals

Conversational AI 2.0 equips customer support teams with tools to create more natural and responsive voice agents, reducing friction during calls. The multilingual and real-time data retrieval capabilities help serve diverse customers accurately and efficiently. Batch calling and multimodal communication add scalability and flexibility to outreach efforts.

If you’re looking to improve your team’s voice interactions or explore AI tools that fit enterprise requirements, this upgrade is worth monitoring. For those interested in expanding AI skills relevant to customer support, exploring customer support AI courses can be a practical next step.

ElevenLabs’ Conversational AI 2.0 offers a solid foundation for building AI voice agents that feel less robotic and more helpful—an advantage every customer support professional can appreciate.