- Core improvements bright spots
- Enterprise-level trust mechanisms and compliance design
ElevenLabs released Conversation AI 2.0, compared to 1.0 in the last four months, representing a major leap in its voice agency platform, with the goal of building the most advanced, credible and customized AI voice agent system. The upgrade covers natural language processing, cross-linguistic dialogue, knowledge integration, scalable architecture, security compliance, etc. and significantly enhances functionality and credibility in the business landscape. ** Bright spot function ** It’s not embarrassing. ** It can understand when you’re stopping, when you’re thinking, and it won’t interrupt you. ** Multilingual is smooth: you speak Chinese, it speaks Chinese; you speak Spanish, and it automatically changes. ** The answer is more “know-how”: it can answer you directly from your company’s knowledge base. ** Bulk calls are unsolicited: hundreds of thousands of clients who can be notified by the system on a one-time basis. ** A model tube interacts in two ways: no separate text and voice versions, no labour effort.
Core improvements bright spots
#1 1 Mechanisms for naturalized dialogue
- The natural “rotation talk” system (Natural Turn-Taking) uses ** real-time analysis of speech rhythms and pause signals (e.g. “um” “ah”)** to determine when to wait and when to respond and to avoid interrupting user or unnatural waiting, making dialogue more like a real human exchange. Example: When the client says, “Let me just check… um… “ AI will be smart to wait, not respond immediately.
##2.** Multilingual recognition and seamless switching**
- The Integrated Language Testing system does not require predefined language configurations, AI automatically detects the language used by users and responds in the same language to achieve ** the uninterrupted, multilingual dialogue experience**. Especially suitable for the customer service and sales system for users worldwide.
##3. Integrated RAG (Retrieval-Augmented General)
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** uniquely structured integration RAG models** to enable AI to retrieve the latest information from the designated knowledge base** to generate responses.
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Characteristics: ** Low-delayed access**: almost real-time response.
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** High level of privacy protection**: data are not disclosed and suitable for sensitive scenarios such as medical, financial, legal etc.
Example of application:
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After-sale system acquisition of product manual content.
##4. Multimodel proxy support (Multimodal Agent)
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The same proxy definition to support ** text + voice ** two-channel output.
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To avoid duplication of creation of voice bot / text bot and to improve the efficiency of the project, applying to scenarios that require multiple interactive channels.
##5. # # Batch Calling
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Allowing the use of voice agents** to launch a large number of outreach missions at the same time**
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Applied scene: Automatic Notification Sending
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Client satisfaction survey
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Invitation to the event
Strengths: More efficient, harmonized information and reduced labour burden.
Enterprise-level trust mechanisms and compliance design
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Complete HIPAA Compliance (Support medical data application)
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** Enterprise-level security measures**
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Flexible third-party integration in support of existing workflows
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** Local storage of optional EU data**
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** High reliability and high availability design**
Official presentation: https://elevenlabs.io/blog/conference-ai-2-0