Retell AI

Retell AI

★ 4.62 🔖 4113 saves 💰 Free trial Customer Support

Retell AI provides an end-to-end voice agent platform with ultra-low latency, phone number provisioning, and call analytics for production support lines.

Overview

Retell AI focuses on making voice agents reliable enough for real customers. Its platform bundles speech models tuned for phone audio, LLM orchestration, and telephony, delivering response latency low enough that callers stop noticing the machine. Agents can be configured with custom voices, transfer rules, and post-call actions such as updating a CRM or booking an appointment. A visual conversation flow designer helps non-engineers shape dialogue, while developers get APIs and webhooks for deeper integration. Compliance features include HIPAA-ready configurations and call recording controls, and the analytics dashboard tracks containment rate, sentiment, and failure points across thousands of calls. Teams typically go from prototype to a live support number within days. Teams can branch conversations dynamically based on caller intent, and built-in testing lets you replay recorded scenarios against new agent versions before they ever touch a live line. Usage dashboards make cost per resolved call visible, which keeps automation economics honest and improvement efforts focused where they pay.

Key Features

  • Sub-second conversational latency tuned for phone audio
  • Visual flow designer with API and webhook depth for engineers
  • Warm transfers, CRM updates, and booking actions mid-call
  • HIPAA-ready configurations with recording and consent controls
  • Analytics for containment, sentiment, and failure analysis
  • Scenario replay testing so new agent versions never regress live lines

Pricing

Retell offers free trial minutes for development. Paid plans bill per minute of call usage with tiered rates, and enterprise agreements add dedicated concurrency, custom voice work, and premium support.

Who Is It For

Support and operations teams replacing IVR trees or overflow call handling with conversational agents, and developers who need a voice stack that survives real-world phone conditions. It suits customer support organizations that want measurable containment improvements and developers who need production-grade telephony without assembling it piece by piece.

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