Retell AI Reviews & Product Details

Retell AI is one of the best AI voice agents I’ve used. It’s very easy to set up and use, and the voice interactions feel smooth and natural. I especially like how quickly you can deploy a working agent without needing complex technical knowledge. It makes building voice automation accessible and efficient. Review collected by and hosted on G2.com.

One thing I’d love to see improved is deeper automation and integrations. For example, the ability to easily connect with CRMs or Excel/Google Sheets directly within the platform would make it much more powerful. Adding more built-in integrations for workflows and data syncing would significantly enhance its usefulness for business operations. Review collected by and hosted on G2.com.

What stands out most about Retell AI is how quickly you can go from idea to a fully functioning voice agent. The platform abstracts away a lot of the complexity around telephony, speech recognition, and LLM orchestration, which makes it incredibly powerful for building production-grade voice experiences. The real-time responsiveness and flexibility in designing conversational flows are especially impressive. It’s also great how configurable the system is—you can fine-tune prompts, manage variables, and integrate with external systems without needing a heavy infrastructure lift. Overall, it enables teams to move fast and iterate quickly, which is critical when building AI-driven experiences. Review collected by and hosted on G2.com.

One area for improvement is the naturalness of conversations out of the box—agents can sometimes include filler words or sound slightly robotic without careful prompt tuning. This means you need to spend extra time refining prompts to get a truly polished, human-like experience. Additionally, debugging and observability could be stronger; when something goes wrong in a conversation flow, it’s not always immediately clear where the issue originated. Lastly, while the platform is powerful, some workflows (like handling edge cases or complex branching logic) can require workarounds that could be simplified with more native tooling. Review collected by and hosted on G2.com.

We've been using Retell AI to power the voice agents for our AI receptionist product for medical clinics in Dubai. After evaluating several alternatives, Retell stood out for its low latency, natural-sounding conversations, and the flexibility it gives you in building complex agent flows.

The dynamic variables feature is a game changer for us — it lets us run a single agent that serves multiple clinics, each with their own name, doctors, hours, and custom information injected at call time. The transfer call functionality works reliably, and the web call SDK made it easy to embed a live demo directly on our website.

The prompt-based approach gives you full control over agent behaviour without needing to touch any underlying model code. The LLM swap feature is also useful — we've tested different models and can switch without rebuilding anything.

Support has been responsive and the documentation is solid. The dashboard gives good visibility into call logs and agent performance.

If you're building a voice AI product and need something production-ready, Retell is genuinely one of the best platforms out there right now. Highly recommend. Review collected by and hosted on G2.com.

The main limitation we've run into is the lack of native support for UAE or Middle East phone numbers — we currently have to use US numbers and forward calls, which adds a small amount of friction for our clinic clients. A wider range of supported regions for phone number provisioning would make Retell a complete end-to-end solution.

The analytics dashboard could also be more detailed — things like per-agent call breakdowns and language detection would save us from having to build those features ourselves. Minor issues overall given how strong the core product is. Review collected by and hosted on G2.com.

The abstraction layer is fantastic for rapid prototyping. It handles the heavy lifting of telephony and WebSocket streaming out of the box, allowing developers to deploy functional voice agents much faster than configuring the underlying infrastructure from scratch. Review collected by and hosted on G2.com.

The trade-off for that ease of use is a lack of granular control over the media routing and WebRTC pipeline. If you are building a highly customized, large-scale multi-agent SaaS, the restrictions on custom agent server architectures and the managed-service pricing model can become bottlenecks. Review collected by and hosted on G2.com.

Retell AI is honestly one of those tools that just works.

Simple. Fast. Powerful.

The best part?

You don’t feel like you’re fighting the tech — it feels like the tech is working for you.

If you’re building voice agents, doing inbound or outbound calls, or trying to automate real conversations… Retell makes it ridiculously smooth.

Low latency. Natural voices. Clean setup.

No nonsense.

The truth is… most voice platforms overcomplicate things.

Retell doesn’t.

You plug it in.

Connect your stack.

And suddenly… your AI is actually talking like a human.

If you’re serious about voice AI — this is not optional.

It’s a weapon.

very short

Retell AI just works.

Fast. Simple. Powerful.

The best part? It sounds human.

If you’re building voice AI — this is a no-brainer. Review collected by and hosted on G2.com.

Nothing , Nada , it just work , maybe i was a bit confused about webhooks ect Review collected by and hosted on G2.com.

What I like best about Retell AI is its ability to create highly natural, human-like voice interactions in real time. The responsiveness and low latency make conversations feel smooth and engaging, which is critical for building truly effective voice applications. I also appreciate how flexible and developer-friendly it is, allowing seamless integration and customization for different use cases. Overall, it strikes a great balance between performance, realism, and ease of use, making it a powerful tool for modern conversational experiences Review collected by and hosted on G2.com.

There’s very little to dislike about Retell AI, but like any platform, there’s always room for even more advanced customization as needs grow. Review collected by and hosted on G2.com.

I came into this quite sceptical - I had never really done anything more advanced in AI than using ChatGPT. I spent hours researching to make sure I was using the right system & that led me to Retell AI.

Building the perfect agent is hard, but building an agent that works before getting more technical is actually way easier than I would of thought - I am moving more towards perfect everyday using the more advanced features - learning as I go. Review collected by and hosted on G2.com.

My only gripe about Retell is that because I am UK based I would appreciate more UK accents when building an agent - hopefully these will come as the ecosystem grows. Review collected by and hosted on G2.com.

Retell makes it surprisingly easy to build and deploy voice agents quickly, especially for real-world use cases like reception, booking, and lead capture. The latency is solid, the voice quality feels natural, and the overall developer experience is clean. I also like how flexible it is with prompts and knowledge bases—it lets you iterate fast and get something production-ready without heavy engineering. Review collected by and hosted on G2.com.

The biggest gap is around state management and structured flow control. A lot of critical behaviour (like handling contact preferences, not repeating questions, or remembering collected details) still relies too heavily on prompt engineering instead of built-in logic. This can make agents inconsistent at scale. Better native handling for forms, memory, and conversation state would significantly improve reliability. Also, debugging conversations and understanding why an agent made a decision could be clearer. Review collected by and hosted on G2.com.

The ease of integration with telephony providers via SIP trunking, the natural quality of voices with ElevenLabs, and the ability to customize the agent with dynamic variables. The latency is very low and the conversations sound really natural. Additionally, the integration with n8n allows for the automation of complete customer acquisition and service flows. Review collected by and hosted on G2.com.

The documentation for integrations with European telephony providers could be more detailed. The initial setup with Spanish numbers requires quite a bit of trial and error. It would also be helpful to have more examples of integration with automation tools like n8n. Review collected by and hosted on G2.com.

The latency is incredibly low, which is the most critical factor for a natural-sounding voice agent. I love how easily it integrates with existing LLMs and the flexibility provided by the API for handling complex call flows and custom tools. Review collected by and hosted on G2.com.

While the documentation is generally good, I’d like to see more advanced examples for handling edge cases in multi-turn conversations. Additionally, the cost per minute can scale quickly for high-volume outbound campaigns. Review collected by and hosted on G2.com.