Agentic Warm Transfers
Agents recognize when a conversation needs a human, whether from customer sentiment or an unresolved question. They then brief the receiving agent before connecting the customer.
2,000+ five-star reviewsBuild, test, and deploy AI voice agents that answer and make phone calls, take action in your systems, and scale with your call volume.
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In production at 4,000+ businesses
Contact center complexity, handled
Any voice agent can handle a scripted call. Real call centers run on transfers, phone trees, outbound volume, and back-end systems that all have to work on every call. Retell is built for that reality.
Agents recognize when a conversation needs a human, whether from customer sentiment or an unresolved question. They then brief the receiving agent before connecting the customer.
Agents navigate complex phone trees, automated menus, and enter extensions to reach the right person or department.
Ensure critical responses and workflows follow your exact requirements, like disclosures and verification. Everywhere else, agents respond naturally to whatever the caller says.
Turn conversations into action. Agents execute custom logic, access real-time data, and complete tasks across your business systems, from booking appointments to updating records, all during a live call.
Retell keeps a running brief on every contact across calls and texts. Returning callers pick up where they left off, without repeating themselves.
From burst concurrency and intelligent agent building to sentiment analysis, AI QA, live monitoring, and more, Retell delivers the capabilities real contact centers demand.
Retell vCX · Real-time orchestration
Retell real-time conversation stack brings together purpose-built technologies that handle listening, thinking, and speaking on every call.
Detect speech, recognize call conditions, and determine when to listen, wait, or respond.
Bring together models, knowledge, and tools to move every conversation forward.
Deliver clear, natural responses shaped for live conversation.
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~600ms response time
Keep conversations flowing with fast, natural responses.



build on Retell
Voice AI agents your CX team builds in a no-code studio and your developers extend with APIs and SDKs.

The CX improvement loop
AI alone doesn’t know what great customer experience means for your business. Your people do. Retell puts their expertise at the center of an AI-powered improvement loop that identifies opportunities, recommends changes, tests outcomes, and helps your team continuously improve.



More than conversations. A whole platform
Turn outbound calls into intelligent campaigns that decide who to call, when, and what happens next, with Do Not Call screening, local area code matching, and automated retries and callbacks.
Every caller gets a living profile with contact details, full conversation history, and memory that carries context between calls. Sync it all with your existing CRM, or start with Retell CRM on its own.
Automate pre- and post-call tasks like data lookups, record updates, and follow-ups with conditional workflows built right into Retell.
Connect Retell to your CRM, helpdesk, calendars, knowledge bases, and telephony systems with ready-made integrations, flexible APIs, and custom functions.


Fully compliant with HIPAA, SOC2 Type II, GDPR and ISO 27001. We ensure your voice agents meet the highest global standards for data privacy and security.
Seamless single sign-on with enterprise identity providers for secure, centralized access control.
User-defined controls to selectively redact sensitive personal data in calls and transcripts.
Configurable roles with module-level permissions to control access across teams.
Battle-tested infrastructure built to handle millions of calls reliably at scale.
An AI voice agent is an autonomous system that can listen, speak, and hold natural phone conversations like a human. It uses speech recognition, large language models, and text-to-speech technology to understand callers, respond intelligently, maintain context, and take actions such as booking appointments or updating systems without relying on rigid scripts or human intervention.
The best AI voice agent depends on what you need it to do. For production phone calls, evaluate platforms on four things: workflow accuracy on multi-step calls, latency under real network conditions, how much of the agent logic you control, and whether you can test on your own traffic before committing. In an independent Cekura benchmark across 414 calls, Retell AI scored 95.7% workflow accuracy, the highest of six platforms tested. See how Retell AI compares to other platforms.
AI voice agent pricing is usually charged per minute of call time. Retell AI runs $0.07 to $0.31 per minute for voice agents depending on the models, voice, and add-ons you select, with no annual contract and no per-resolution charge. Chat agents start at $0.002 per message. You can estimate your cost on the pricing page, or compare enterprise plans.
Yes. Retell AI gives you $10 in free credits at signup with full platform access and no contract, which covers building an agent, simulation testing, and live test calls, along with 20 free concurrent calls. After the credits run out you pay per minute with no commitment. See pricing and plans.
Most people cannot tell on a short call. Voice quality comes down to three things: the underlying speech model, response latency, and how the agent handles interruptions. Retell AI agents handle mid-sentence interruptions and natural turn-taking rather than waiting for a full pause, and can transfer to a human mid-call when a conversation needs one. The fastest way to judge it is to hear one, so try the live demo.
No, using AI voice agents is legal in the United States, but it is regulated. Outbound calling requires prior consent under the TCPA, some states require disclosure that the caller is automated, and call recording consent rules vary by state. The FCC has ruled that AI-generated voices in robocalls fall under existing TCPA restrictions. Compliance depends on how the platform is used, not on the platform itself. Our Trust Center covers how Retell AI handles security and compliance.
Every call runs through three steps in real time. The agent listens, with noise cancellation and turn-taking that knows when the caller has finished. It thinks, using a language model that follows your instructions and calls your systems mid-call. It speaks, in a natural voice with typical response times around 600 milliseconds. You set the instructions and workflows, test the agent in simulation, then deploy it on your phone numbers.
Sign up on the Retell dashboard and use the $10 in free credits to build your first agent. Teams without engineers build in the no-code conversation flow builder, and developers can create and manage agents through the API and SDKs. Add your knowledge base, connect your tools, run simulation tests, then attach a phone number. The documentation walks through each step.
Yes. Retell supports integration with any telephony system through SIP trunking, making it easy to connect your existing phone number and deploy your AI-powered answering service or AI IVR without changing infrastructure.
An AI call center uses AI phone agents to handle customer calls instead of routing every interaction to a person. The agent answers, understands what the caller wants, resolves routine requests, and escalates complex ones to a human with full context attached.
An AI call center automates phone calls. An AI contact center covers every channel a customer uses, so the same AI agents handle voice calls, chat, and SMS with one view of each customer. Retell AI supports both: voice agents for inbound and outbound calls, plus chat and SMS agents that share contact memory, so a returning customer does not have to repeat themselves.
AI call centers layer four technologies into one pipeline: a voice engine that converts speech to text and back in ~600ms, intent detection that identifies caller needs and pulls CRM history instantly, telephony APIs (Twilio, Vonage, SIP) that plug into your existing phone system, and post-call automation that logs data, creates tickets, and triggers follow-ups without human intervention.
No. AI phone agents handle repetitive, high-volume work like appointment booking, order status, and qualification, which frees your team for calls that need judgment or empathy. Most Retell AI deployments run a hybrid model: the voice agent takes the routine volume and hands off to a person when the conversation calls for it.
It answers inbound calls and places outbound ones, qualifies leads, books appointments, checks order status, and routes or transfers to a live agent when needed. Mid-call, it can pull and push data through your existing systems, so it acts on real customer information rather than reading from a script.
Yes. An AI calling agent on Retell can run batch call campaigns from a list, inside the calling windows you set, with branded caller ID and verified numbers to reduce spam flags. Contacts who ask not to be called again are added to your do-not-call list automatically. Outbound calls still need the consent your jurisdiction requires.
For lead qualification, reliability means the agent asks every qualifying question, records answers in the right fields, and books or routes the qualified lead without dropping the call. Test on your own call scripts, check that CRM fields update correctly, and confirm the agent hands off hot leads live. We compared the main options in our guide to the best AI voice agents for lead qualification.
Every call is transcribed and available for review, so you evaluate 100 percent of interactions instead of a manual sample. Transcripts and call data surface recurring issues, drop-off points, and coaching opportunities across your full call volume, not a handful of spot checks.
Yes. Retell AI is SOC 2 Type 1 and Type 2 certified, supports HIPAA workloads with a signed BAA, and supports GDPR. You can redact personal information from calls and transcripts, use SSO, and set role-based access by team. Security documentation is in the Trust Center.
Yes. Voice agents can hold conversations in multiple languages, so you serve customers in their preferred language without staffing separate multilingual teams.