Cross+AI operates a real-time voice pipeline where incoming audio is transcribed using state-of-the-art speech-to-text (STT), processed by a large language model (LLM) for intent and response generation, and then synthesized back to speech via high-fidelity text-to-speech (TTS). This architecture ensures low-latency, natural conversations for telephony and voice applications.
Developers typically build:
- Voice-enabled customer support bots
- Automated outbound calling agents
- Interactive voice response (IVR) systems
- Real-time voice analytics tools
- AI-powered appointment schedulers
- Voice-driven data collection solutions