Retell AI

Converts text prompts and LLM responses into lifelike spoken audio with minimal latency, avoiding robotic voice artifacts. Supports multiple voice options and natural prosody for conversational interactions.

Deploys the same voice agent across phone lines, web interfaces, and mobile applications without requiring separate engineering implementations. Handles channel-specific protocol conversions automatically.

Provides tools to test voice agent responses, measure success rates, and iterate on prompts and configurations. Supports A/B testing of different agent configurations.

Processes dual-tone multi-frequency (DTMF) signals from phone keypads, allowing customers to provide input through traditional phone buttons. Integrates DTMF input with voice conversation flow.

Connects voice agents to external knowledge bases, documentation, and FAQ systems to provide accurate, up-to-date information during calls. Supports real-time knowledge retrieval and citation.

Records all voice calls with encryption and secure storage, supporting compliance requirements for regulated industries. Provides audit trails and consent management for call recording.

Automatically transcribes voice conversations as they happen and stores complete call records with timestamps. Provides searchable transcription data for compliance, training, and quality assurance purposes.

Analyzes customer tone, emotion, and sentiment during live calls to identify frustration, satisfaction, or escalation triggers. Provides real-time alerts and historical sentiment trends for agent performance monitoring.

Routes incoming calls to appropriate voice agents or human representatives based on call intent, complexity, and availability. Automatically escalates to human agents when the AI agent detects it cannot resolve the issue.

Uses large language models to understand complex customer requests, maintain conversation context, and generate contextually appropriate responses. Handles multi-turn conversations with memory of previous interactions.

Allows creation of custom voice agent personalities, behaviors, and response patterns through prompt engineering. Supports industry-specific customization without code changes.

Provides real-time and historical analytics on call volume, duration, resolution rates, handoff rates, and agent performance metrics. Displays actionable insights through customizable dashboards.

Enables voice agents to check availability, book appointments, and integrate with calendar systems (Google Calendar, Outlook, etc.). Handles time zone conversions and conflict detection automatically.

Maintains conversation history and customer context across multiple interactions, allowing agents to reference previous calls and customer information. Supports persistent customer profiles.