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Voice agents
2024-02-22
Retell AI
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Build human-like conversational Voice AI in a day.
Overview
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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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Retell AI was manually vetted by our editorial team and was first featured on June 13th 2024.
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8 alternatives to Retell AI for Voice agents
Pros and Cons
Pros
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
Cons
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
Q&A
What is Retell AI?
Retell AI is a powerful tool that aids developers in creating advanced conversational Voice AI that simulates human interactions. The platform is capable of executing complex tasks, following instructions, and integrating with any Language-Level Models (LLMs). With Retell AI, developers can create, test, deploy, and monitor voice AI agents on a large scale.
What is unique about Retell AI?
Retell AI stands out due to its proprietary turn-taking model, which powers an engaging conversation experience and lets the AI to handle interruptions effectively. Furthermore, Retell AI offers post-call analysis, sentiment analysis, and task completion status as additional tools to measure the performance of deployed AI agents.
How does Retell AI's turn-taking model work?
The turn-taking model of Retell AI is a proprietary system that fuels an immersive conversational experience. It ensures the AI's capability to manage interruptions effectively, fostering a more human-like dialogue.
What kind of tasks can Retell AI execute?
Retell AI is designed to perform complex tasks in a human-like conversational manner. This includes interacting like a human, following instructions, and executing complex workflows. These tasks are accomplished using pre-built templates, stateful multi-prompt agents, and single-prompt agents.
How does Retell AI handle interruptions?
Retell AI's unique turn-taking model enables the AI to handle interruptions effectively. This functionality allows the AI to manage and respond to unexpected input or interjections during the conversation, thus fostering an interactive dialogue.
What kind of Language-Level Models (LLM) can Retell AI integrate with?
Retell AI can integrate with any Language-Level Models (LLMs). This feature gives developers the flexibility to use their preferred LLMs for creating, testing, and deploying voice AI agents.
Can I use the pre-built templates in Retell AI?
Yes, Retell AI provides pre-built templates. These templates expedite the process of building, testing, and deploying complex workflows in AI development.
What is the difference between a stateful multi-prompt agent and a single-prompt agent in Retell AI?
In Retell AI, a stateful multi-prompt agent is capable of managing sophisticated workflows that demand a series of prompts. On the other hand, a single-prompt agent handles tasks that require only one prompt. Both agents contribute to the versatility of Retell AI in dealing with different complexities of voice AI workflows.
What tools does Retell AI provide for testing and deploying workflows?
Retell AI provides a suite of tools for testing and deploying workflows. These include pre-built templates, stateful multi-prompt agents, and single-prompt agents. Additionally, the platform facilitates comprehensive agent testing and allows the saving of test cases for future use.
What kind of analysis does Retell AI provide for assessing AI performance?
Retell AI provides post-call analysis, sentiment analysis, and task completion status to assess AI performance. These analytical tools offer valuable insights into the performance of the voice AI agents, from customer sentiment to task completion rate and latency tracking.
What role does Retell AI play in AI deployment and monitoring?
Retell AI plays a central role in AI deployment and monitoring. It allows developers to build, test, deploy, and monitor their voice AI agents on a large scale. Additionally, the tool provides crucial metrics for monitoring the performance of the deployed AI, including latency tracking, sentiment analysis, and task completion status.
How quickly can I get a response from Retell AI?
Retell AI offers an impressive ~800ms response time. This near-real-time interaction is crucial in delivering a conversation experience that mimics human dialogues.
What aspects make the voice AI built using Retell AI human-like?
Human-like qualities of the voice AI built using Retell AI include the ability to execute complex tasks and interact like a human, effectively handle interruptions, and follow instructions. The platform's proprietary turn-taking model and support for multiple languages adds to its natural, human-like conversational capabilities.
Can Retell AI assist in the development of multilingual voice AI?
Yes, Retell AI does support the development of multilingual voice AI. The platform is designed to be flexible and adapt to various use-cases, making it perfect for creating voice AIs that understand and converse in multiple languages.
What is special about Retell AI's proprietary turn-taking model?
Retell AI's proprietary turn-taking model is specifically designed to power interactive conversation experiences that allow AI to deal with interruptions effectively. This unique feature enables the AI to mimic human interactions more closely.
How does Retell AI support task completion status tracking?
Retell AI provides a feature for tracking task completion status. This serves as a performance metric, allowing developers to monitor and analyze the effectiveness of their voice AI agents in completing the assigned tasks.
Is Retell AI adaptable to various use-cases?
Yes, Retell AI is highly adaptable to various use-cases. Its abilities to execute complex tasks, follow instructions, and handle interruptions, coupled with support for any Language-Level Models (LLMs), make it flexible for diverse applications.
How does Retell AI support AI Integration and Testing?
Retell AI provides broad support for AI Integration and Testing. It offers an extensive array of features like pre-built templates, stateful multi-prompt agents, and single-prompt agents for testing and deployment. Comprehensive agent testing and saved test cases for future use add to its robust testing framework.
How can Retell AI assist in building and testing complex workflows?
Retell AI assists in building and testing complex workflows in a matter of minutes. The platform grants access to pre-built templates and tools for building stateful multi-prompt and single-prompt agents. The ability to interact with the agent and check called tools provides a comprehensive testing environment before deployment.
What is the process to start building with Retell AI?
To start building with Retell AI, one has to sign up on their platform. Post-registration, developers can utilize the user-friendly dashboard to create an agent using a prompt. Connecting the agent to a phone number allows for immediate testing, no coding needed. For in-depth production use, developers can self-serve by referring to the provided documentation with tutorials or contact Retell AI for guidance.
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