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The AI advances to a quick clip for companies, and this is particularly true for models of speech and voice of AI.
Example: today, Elevenlabs, the startup of well -funded voice and sound effects founded by former Palantir engineers, made his conversational debut AI 2.0A significant upgrade to its platform to create advanced voice agents for business use cases, such as customer support, call centers and outgoing sales and marketing.
This update presents a multitude of new features designed to create more natural, intelligent and secure interactions, which makes it well suited to the applications at the level of the company.
The launch comes only four months after the beginnings of the original platform, reflecting Elevenlabs’s commitment to rapid development, and one day after the Rival voice startup launched its own news, Vocy Ai Voice-Torm model, EVI 3.
It also comes after new Open Source voice models have reached the scene, which prompted some influencers of the AI to declare eleven dead. It seems that these declarations were, naturally, premature.
According to Jozef Marko of the Elevenlabs engineering team, the AI 2.0 conversation is significantly better than its predecessor, establishing a new standard for vocal experiences.
Improvement of naturalistic speech
A culminating key to the AI 2.0 conversational is its peak turn intake model.
This technology is designed to manage the nuances of human conversation, eliminating clumsy breaks or interruptions that can occur in traditional vocal systems.
By analyzing conversation indices such as hesitations and filling words in real time, the agent can understand when speaking and when listening.
This feature is particularly relevant for applications such as customer service, where agents must balance rapid responses with the natural rhythms of a conversation.
Multilingual support
AI 2.0 conversation also introduces integrated language detection, allowing seamless multilingual discussions without the need for manual configuration.
This capacity guarantees that the agent can recognize the language spoken by the user and respond accordingly in the same interaction.
Functionality is aimed at global companies looking for a coherent service for various customers’ bases, removing linguistic barriers and promoting more inclusive experiences.
Business quality
One of the most powerful additions is the integrated recovery generation system (RAG). This feature allows the AI to access external knowledge bases and to instantly recover relevant information, while maintaining minimum latency and strong confidentiality protections.
For example, in health environments, this means that a medical assistant agent can develop processing directives directly from the database of an institution without delay. In customer support, agents can access the details of the internal documentation product to help users more effectively.
Multimodality and alternative characters
In addition to these basic features, the new Elevenlabs platform supports multimodality, which means that agents can communicate via voice, text or a combination of the two. This flexibility reduces the engineering burden for developers, because agents should only be defined once to operate on different communication channels.
By further improving the expressiveness of the agents, the AI 2.0 conversation allows the multi-caractor mode, allowing a single agent to switch between different personalities. This capacity could be precious in scenarios such as the development of creative content, training simulations or customer engagement campaigns.
Outgoing call by lots
For companies that seek to automate large-scale awareness, the platform now supports calls by lots. \
Organizations can launch several outgoing calls simultaneously using conversational AI agents, an approach well suited to surveys, alerts and personalized messages.
This feature aims to increase both scope and operational efficiency, offering a more scalable alternative to manual outgoing efforts.
Quality standards and business quality price plans
Beyond the features that improve communication and commitment, AI 2.0 conversation highly emphasizes confidence and conformity. The platform is fully in accordance with HIPAA, a critical requirement for health care applications that require strict confidentiality and data protection. It also supports the option of EU data, aligning with the data sovereignty requirements in Europe.
Elevenlabs strengthens these features focused on compliance with business quality and reliability. Designed for high availability and integration with third -party systems, AI 2.0 conversation is positioned as a secure and reliable choice for companies operating in sensitive or regulated environments.
Regarding prices, here are the available subscription plans that include conversational AI Currently listed on the Elevenlabs website::
- Free: 0 $ / month, includes 15 minutes, 4 competition limits, requires allocation and no commercial license.
- Starter: $ 5 / month, includes 50 minutes, 6 competition limits.
- Creator: $ 11 / month (reduced from $ 22), includes 250 minutes, 6 competition limits, ~ $ 0.12 per additional minute.
- Pro: $ 99 / month, includes 1,100 minutes, 10 competition limits, ~ $ 0.11 per additional minute.
- Ladder: $ 330 / month, includes 3,600 minutes, 20 competition limits, ~ $ 0.10 per additional minute.
- Business: $ 1,320 / month, includes 13,750 minutes, 30 competition limits, ~ $ 0.096 per additional minute.
A new chapter in realistic and naturalistic interactions of AI
As indicated in the Video of the company Presentation of the new version“The potential of the conversational AI has never been bigger. The moment to build is now.”
With Conversational AI 2.0, Elevenlabs aims to provide tools and infrastructure for businesses in order to create truly intelligent and aware vocal agents that raise the standard of digital interactions.
For those who wish to know more, Elevenlabs encourage developers and organizations to explore its documentation, visit the developer portal or contact the sales team to see how AI 2.0 conversational can improve their customer experiences.
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