What is Conversational AI?
Conversational AI enables machines to understand, interpret, and respond naturally to human language. At Telnyx, Conversational AI merges cutting-edge telecommunications infrastructure with advanced AI capabilities, delivering seamless, ultra-low-latency voice interactions.
Core technologies
- Real-Time Media Streaming: Telnyx's global private MPLS network combined with WebSocket technology streams raw audio instantly, ensuring high-quality, real-time voice conversations with minimal latency.
- Speech-to-Text (STT): Converts real-time live audio streams into text for immediate processing.
- Large Language Models (LLMs): Advanced AI models interpret language and generate accurate, context-sensitive responses. You can use pre-trained models or customize your own.
- Text-to-Speech (TTS): Transforms AI-generated text responses into realistic, human-like speech instantly streamed back to users.
How It Works
We control every aspect—from network infrastructure to GPU-accelerated AI processing—to provide unmatched reliability, speed, and security. Telnyx Conversational AI operates through a fully integrated, bi-directional real-time streaming process:
- Capture voice input: User speech is instantly captured and transmitted securely to Telnyx servers using WebSocket.
- Speech-to-Text processing (speech recognition): Immediate transcription of audio into text happens directly on Telnyx's edge-based GPUs. 3 AI-Driven Response Generation: AI analyzes user intent and generates context-aware responses.
- Text-to-Speech output: The AI-generated responses are converted into natural speech and streamed back instantly to the user.
This integrated pipeline ensures smooth, natural conversational experiences with ultra-low latency.
Models & Supported Languages
Telnyx provides flexible AI model options tailored to specific business needs:
- Pre-trained models: Optimized models for diverse conversational use cases are available immediately.
- Custom AI Models: Fully customizable models tailored to specific industry requirements.
- Languages: Support for 29 languages enables global deployment of conversational AI solutions.
Popular Use Cases
- AI-Powered Customer Support: Automate and enhance customer service interactions.
- Virtual Assistants & Intelligent IVR: Create intelligent virtual agents for natural, real-time user interactions.
- Real-Time Transcription & Insights: Instantly convert spoken conversations to text and gain actionable insights.
- Call Center Automation: Increase efficiency, reduce operational costs, and improve customer experiences through AI automation.