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Provides simple REST endpoints allowing seamless integration with existing systems, supported by full documentation and examples.
Enables real-time bidirectional communication for dynamic chat applications and live agent interactions with minimal latency.
Offers native SDKs for JavaScript, Python, React, and Swift to easily integrate voice agents across various applications or platforms.
Allows the creation and customization of voice agents with specific knowledge, personalities, and capabilities tailored to individual use cases.
Enables the system to comprehend and interpret the meaning of user inputs in a nuanced manner, facilitating conversations that retain context over multiple exchanges.
Utilizes sentiment analysis to tailor response appropriateness, ensuring the system's interactions are aligned with the user's emotional tone.
Supports communication in over 100 languages and dialects, allowing for interaction with a globally diverse user base.
Enables automatic creation, updating, and resolution of support tickets while maintaining the context of conversations in Zendesk.
Syncs conversations, user data, and support tickets seamlessly with existing Intercom workflows.
Employs sophisticated voice activity detection to maintain natural conversation flow with minimal delay and effective background noise suppression.
Facilitates the performance of external functions and API calls in a manner that does not interrupt the conversation flow.
Utilizes the latest advancements in voice recognition and speech-to-text technology, ensuring accuracy and efficiency in daily operations with comprehensive conversational AI.
Provides seamless voice interactions with low-latency WebRTC, incorporating STT (Speech-To-Text) and TTS (Text-To-Speech) for real-time applications.
Supports multiple enterprises with isolated data using Neon DB schemas, ensuring privacy and scalability for thousands of users.
Integrates with Zendesk and enterprise Knowledge Bases using Document AI for intelligent, context-aware responses.
Routes customers to the right agent and delivers accurate solutions, improving support efficiency and accuracy.
Provides the ability to train custom models and deploy them on various platforms including public cloud, private cloud, or self-hosted environments.
Offers user-friendly APIs for speech-to-text and text-to-speech conversions, enhancing language understanding and enabling the development of AI voice agents.
Provides scalable, secure, and reliable solutions for critical workloads, making it suitable for enterprise-level applications.
Users benefit from continuous research updates, ensuring they have access to the latest advancements in AI technology.