Retell AI assists developers in creating advanced conversational Voice AI that mimics human interactions. The tool is equipped to execute complex tasks, follow instructions, and can integrate with any Language-Level Models (LLMs).
With Retell AI, developers can build, test, deploy, and monitor their voice AI agents at scale. In addition to these, the platform provides an array of features such as pre-built templates, stateful multi-prompt agents, and single-prompt agents allowing for the testing and deployment of complex workflows with relative ease.
But, what sets Retell AI apart is its proprietary turn-taking model which powers an interactive conversation experience that enables AI to effectively handle interruptions.
The platform also offers post-call analysis, sentiment analysis, and task completion status to assess the performance of deployed AI. In summary, Retell AI provides a robust and flexible environment for the creation and deployment of human-like voice AIs adaptable to diverse use cases.
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Pros & Cons
Can execute complex tasks
Can follow instructions
Integrates with any LLMs
Build, test, deploy, monitor at scale
Stateful Multi-Prompt Agents
Single-Prompt Agents
Enables testing and deployment of complex workflows
Proprietary turn-taking model
Handles interruptions effectively
Post-call analysis
Sentiment analysis
Task completion status monitoring
Flexible and robust environment
Near real-time interaction
Mimics human interactions
Completes tasks in a day
Interactive conversation experience
Multi-lingual support
HIPAA compliance work in progress
SOC Type II certification in progress
Telephony integration: Twilio, Vonage, SIP
Can be deployed anywhere
End-of-turn detection feature
Interruptibility feature
Voice cloning support
800ms response time
Human-like voices
Web App and Mobile deployment
Engaging and lifelike voices
Comprehensive Agent Testing
Backed by Y Combinator
Latency tracking
Stable voice service
Effortlessly scale call volume
Voice agents interact like humans
Supports interaction with agent while testing
Ability to save test cases for future use
Open source Client SDK
No open source access
Limited language support
800ms Latency
Requires LLM integration
Limited template variety
Proprietary turn-taking model
Unclear pricing model
May not handle unique interruptions
SOC Type II certification WIP
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