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Retell AI

Retell-AI

Description

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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Features
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Pros
800ms response time
Ability to save test cases for future use
Backed by Y-Combinator
Build
can be deployed anywhere
Can execute complex tasks
Can follow instructions
Completes tasks in a day
Comprehensive Agent Testing
deploy
Effortlessly scale call volume
Enables testing and deployment of complex workflows
End-of-turn detection feature
Engaging and lifelike voices
Flexible and robust environment
Handles interruptions effectively
HIPAA compliance work in progress
Human-like voices
Integrates with any LLMs
Interactive conversation experience
Interruptibility feature
Latency tracking
Mimics human interactions
monitor at scale
Multi-lingual support
Near real-time interaction
Open source Client SDK
Post-call analysis
Proprietary turn-taking model
Sentiment analysis
Single-Prompt Agents
SIP
SOC Type II certification in progress
Stable voice service
Stateful Multi-Prompt Agents
Supports interaction with agent while testing
Task completion status monitoring
Telephony integration: Twilio
test
Voice agents interact like humans
Voice cloning support
Vonage
Web App and Mobile deployment
Cons
800ms Latency
Limited language support
Limited template variety
May not handle unique interruptions
No open source access
Proprietary turn-taking model
Requires LLM integration
SOC Type II certification WIP
Unclear pricing model

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