Retell AI Reviews & Product Details

Retell AI is a powerful conversational AI platform designed to automate voice, SMS, and chat interactions with natural, humanlike performance. Built on top of your choice of large language models (LLMs), Retell allows teams to spin up real-time AI agents that handle calls, trigger messaging workflows, and integrate seamlessly into your existing systems—all without writing code. At its core, Retell delivers Voice Agent Automation that feels indistinguishable from speaking with a real person. Calls are handled by LLM-native agents that respond within 600 milliseconds, support multi-turn logic, and operate across 31+ languages with native-quality speech. You can build and manage your own agent flows using an intuitive drag-and-drop builder that supports IVR trees, dynamic transfers, real-time webhooks, and CRM integration. Whether you’re scheduling appointments, answering FAQs, or qualifying leads, these agents are fast, reliable, and production-ready. Beyond voice, Retell also enables SMS and chat automation. Agents can send contextual messages during or after phone calls, or operate as standalone text/chat bots. You can use Twilio numbers or bring your own for outbound campaigns, enabling flexible, multi-channel engagement. To ensure quality and insight, Retell offers built-in testing and QA tools. You can simulate conversations, A/B test call flows, and monitor live call data through detailed dashboards. Track CSAT, latency, sentiment, and conversation outcomes—all in one place. Voice agents can be deployed via Twilio, SIP, branded caller ID, or embedded using Retell’s web SDKs. Unlike legacy IVR or scripted systems, Retell is built from the ground up to be AI-native and fully customizable. Whether you’re in healthcare, logistics, fintech, or customer support, Retell’s platform lets you scale personalized conversations across channels—boosting customer satisfaction and reducing operational costs.

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Retell AI

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Retell AI Community

Languages Supported

Bulgarian, Catalan, Danish, German, Greek, English, Finnish, French, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Malay, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Spanish, Swedish, Thai, Turkish, Vietnamese, Chinese (Simplified)

Overview by

Bing Wu

Pricing

Pricing provided by Retell AI.

Pay as you go

$0.07

1 Minute

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Retell AI Integrations

(26)

Verified by Retell AI

Retell AI AI Agent Performance

Explore real-world performance insights that show how Retell AI's agentic features compare to AI agents with similar capabilities.

Overall

-2 below category avg

Pros

Cons

62 Safety Score

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Retell AI Media

Retell AI Demo - Agent Building Overview

Quickly build, customize, and refine Al voice agents for call center operations with LLM-native technology.

Simulate, monitor, and refine Al voice agents before full deployment.

Connect your agent to your telephony, website, and multiple channels with ease.

Retell AI Demo - Monitoring the Agent's Performance

Track, analyze, and improve your Al agent using real-time metrics and intelligent recommendations.

Retell AI Demo - Ecosystem & Integrations

Seamlessly integrate into your tech stack

Interactive Demo

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Verified User in Computer Software

4/12/2026

"It is the best tool for creating voice agents with AI - Mili Pérez"

5/5

What do you like best about Retell AI?

The most notable feature is the extremely low latency, which allows for fluid conversations without the awkward silences typical of other voice services. The model's ability to handle interruptions naturally is above average, greatly facilitating the development of agents that truly seem human in support or sales environments.

And the ease of integration through its API and the robustness of its Webhooks. It offers granular control over the call status and the transition between conversation states. The quality of the voice synthesis, combined with fast language processing logic, makes it one of the most solid solutions for scaling voice operations. Review collected by and hosted on G2.com.

What do you dislike about Retell AI?

The pricing model can become expensive when scaled to a very high call volume, especially when compared to "in-house" implementations of open-source models. Additionally, there is a lack of flexibility to customize certain parameters of proprietary voice models without relying entirely on their closed infrastructure. Review collected by and hosted on G2.com.

What problems is Retell AI solving and how is that benefiting you?

Retell solves the critical problem of round-trip latency in conversational voice systems. It eliminates the complexity of manually integrating STT, LLM, and TTS, offering orchestration that allows for responses in milliseconds. At the enterprise level, this benefits me by drastically reducing "churn" in automated calls, as the user experience is indistinguishable from a human interaction. Additionally, the native management of interruptions prevents audio overlaps that usually break the logic of conventional agents.

Another issue it resolves is the technical fragmentation and instability of WebSocket connections in large-scale voice applications. By centralizing the conversation logic and audio handling in its infrastructure, it allows me to scale thousands of simultaneous calls without worrying about server infrastructure or voice quality degradation. It benefits me by shortening the development time (Time-to-Market); what previously required months of tuning in voice activity detection (VAD) models, here is configured and deployed in days with production-level reliability. Review collected by and hosted on G2.com.

Verified User in Program Development

4/6/2026

"Needed a solution, retell has it."

5/5

What do you like best about Retell AI?

The voice quality is incredible — callers genuinely can't tell

they're talking to an AI. Setup was fast, the knowledge base

integration works well, and the webhook system lets us pipe call

data straight into our app. For a one-man SaaS shop, having a

24/7 phone agent that handles both sales and support calls is a

game changer. The dashboard makes it easy to tweak the agent's

personality and monitor call quality. Review collected by and hosted on G2.com.

What do you dislike about Retell AI?

SMS took me by surprise — I assumed it was already active on my

number and just found out today it requires a separate A2P

registration with a 2-week wait. Would be great if that was

flagged during initial phone number setup. Also the pricing page

could be clearer about what's included vs. what requires

additional registration steps. Review collected by and hosted on G2.com.

What problems is Retell AI solving and how is that benefiting you?

I'm a solo founder running a fleet management SaaS for small

trucking companies. I can't be on the phone 24/7, but my

customers expect to call a number and talk to someone. Retell

lets me put a real phone number on my sales posters and website

that actually answers, qualifies leads, answers product

questions, and handles basic support — all while I'm dispatching

trucks or writing code. Before Retell, missed calls were missed

revenue. Now every call gets answered, and I get a webhook with

the full transcript so I can follow up personally when it

matters. Review collected by and hosted on G2.com.

Verified User in Telecommunications

4/6/2026

"Excelent"

5/5

What do you like best about Retell AI?

What I like most about Retell AI is how easy it is to build and deploy voice AI agents for real phone calls. The platform is very intuitive and allows quick integration with tools like Google Sheets and automation platforms, which makes it ideal for creating scalable outbound call solutions. The voice quality and real-time interaction are also very impressive. Review collected by and hosted on G2.com.

What do you dislike about Retell AI?

One area for improvement is the learning curve when setting up more advanced workflows and integrations. Additionally, better documentation and more examples for complex use cases would be helpful. Occasionally, fine-tuning the conversation flow and handling edge cases can require extra effort. Review collected by and hosted on G2.com.

What problems is Retell AI solving and how is that benefiting you?

Retell AI helps solve the problem of manual and repetitive outbound calling processes in contact centers. It automates customer interactions, reducing the need for human agents to handle routine calls. This benefits us by saving time, lowering operational costs, and increasing efficiency while ensuring consistent communication with customers. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

4/4/2026

"This is the best platform I have ever used (after 25 years in the UCaaS, CCaaS, IVR space)"

5/5

What do you like best about Retell AI?

Fully featured voice platform without the bloat of years and years of legacy product development and bolt on feature through acquisition. I have used Twilio directly in the past and Retell add incalculable value that removes the need for hardcore development skills. Pared with VIBE coding platform I have built a feature rich and competitive set of solutions for the SMB market. Review collected by and hosted on G2.com.

What do you dislike about Retell AI?

Nothing so far. It offers everything I need for my business at this time. Only area I am figuring out is how to access learning and certification materials that are direct from Retell and not vids/material from other builders. I think the Community approach is great, but years of legacy Enterprise development and support methodology have taught me a direct vendor model is requirement for building credible offerings in the larger market space. Review collected by and hosted on G2.com.

Verified User in Marketing and Advertising

4/3/2026

"Best ai agent"

5/5

What do you like best about Retell AI?

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.

What do you dislike about Retell AI?

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 problems is Retell AI solving and how is that benefiting you?

Retell AI helps solve the problem of handling high volumes of client communication without requiring extensive human labor. As someone who runs an agency, this is a huge benefit because it allows me to automate client interactions like calls, follow-ups, and basic support without needing to constantly hire or manage staff.

It reduces operational costs, saves time, and improves efficiency, while still delivering a consistent experience for clients. This allows me to scale my services more easily and focus on higher-level business growth instead of repetitive tasks. Review collected by and hosted on G2.com.

Brandon K.

Product Manager, Customer Data Platform (CDP)

Mid-Market (51-1000 emp.)

4/3/2026

"AI receptionist that actually works for a dental clinic"

5/5

What do you like best about Retell AI?

What I like most is that Retell makes it relatively easy to build a voice agent that can actually take actions, not just talk. Features like function calling, knowledge base support, inbound and outbound calling, and post call analysis make it feel like a complete platform rather than just a voice layer. The low latency also helps conversations feel more responsive, which matters a lot for use cases like a dental clinic receptionist handling bookings and common patient questions. Review collected by and hosted on G2.com.

What do you dislike about Retell AI?

The main downside is that even with the built in tooling, you still need to spend time tuning flows, prompts, and integrations to handle real world edge cases well. Knowledge base retrieval and function calling are useful, but they do not fully remove the work needed to make the agent reliable in more complex conversations. The platform has strong monitoring and QA features, but that also reflects the reality that production voice agents still need ongoing review and optimization after launch. Review collected by and hosted on G2.com.

What problems is Retell AI solving and how is that benefiting you?

Retell AI helps solve missed calls and front desk overload for dental clinics, especially during peak hours and after hours. By using a low latency voice agent that can handle inbound calls, book appointments through function calling, and answer common patient questions using a knowledge base, it reduces the need for manual call handling. This improves clinic efficiency while also capturing more bookings that would otherwise be missed, which directly impacts revenue. It also gives better coverage without needing to hire additional staff, while still maintaining a responsive and natural call experience for patients. Review collected by and hosted on G2.com.

Verified User in Health, Wellness and Fitness

3/29/2026

"One of the best agentic platforms."

5/5

What do you like best about Retell AI?

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.

What do you dislike about Retell AI?

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.

What problems is Retell AI solving and how is that benefiting you?

Retell AI solves the complexity of building and deploying production-grade voice agents. Traditionally, creating a reliable voice experience requires stitching together telephony, speech-to-text, text-to-speech, and LLM orchestration—along with handling latency, interruptions, and real-time context. Retell abstracts all of that into a single platform.

For us, this has been a massive accelerator. Instead of spending months on infrastructure, we can focus on designing high-quality patient interactions and workflows. It enables us to quickly launch voice agents for tasks like patient intake, appointment handling, and call routing, while continuously iterating based on real conversations. The benefit is faster time to market, lower engineering overhead, and the ability to deliver a more responsive, always-available experience for our users. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

3/26/2026

"The backbone of our AI voice product — reliable, fast, and developer-friendly"

5/5

What do you like best about Retell AI?

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.

What do you dislike about Retell AI?

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.

What problems is Retell AI solving and how is that benefiting you?

We're building an AI voice receptionist product for medical clinics in Dubai. The core problem we needed to solve was getting an AI to handle real phone calls — answering, understanding natural speech, following complex booking flows, and transferring calls — all with low enough latency to feel like a real conversation.

Retell solves all of that out of the box. Before finding Retell, we were looking at stitching together separate STT, LLM, and TTS providers ourselves, which would have taken months to get right. Retell gave us a production-ready voice layer in days.

The biggest benefit for our business is speed to market. We were able to build, test, and deploy a fully working AI receptionist — complete with live calendar booking, dynamic clinic variables, multilingual support, and call transfers — in a fraction of the time it would have taken building from scratch. That's a direct business advantage when you're a solo founder trying to move fast. Review collected by and hosted on G2.com.

Verified User in Computer Software

3/25/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Awesome platform! The low latency and realistic turn-taking completely change the feel of AI agents."

5/5

What do you like best about Retell AI?

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.

What do you dislike about Retell AI?

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.

What problems is Retell AI solving and how is that benefiting you?

Building a scalable B2B voice AI platform requires managing complex orchestration between SIP trunks, WebRTC, Speech-to-Text, and the LLM. Retell AI completely abstracts this infrastructure nightmare. It solves the problem of high latency and unnatural conversational flow by handling barge-ins (interruptions) and turn-taking natively. The primary benefit is a drastically accelerated time-to-market. Instead of spending months building and debugging the underlying telecom pipeline for concurrent inbound and outbound calls, I can focus entirely on building custom agent logic and the core features of the SaaS application. Review collected by and hosted on G2.com.