Conversational AI Platform for Real Engagement

Learn to deploy human-like Conversational AI in minutes. ElevenLabs delivers low latency interactions in 70+ languages with enterprise-grade security. Dialogue that feels real, across voice and chat.

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What is Conversational AI?

Revolutionizing human technology interaction

For decades, customer communication meant the same thing. IVR menus, scripted chatbots, and long hold times. Conversational AI replaces all of it with agents that actually listen, understand, and act in real time, across voice and chat.

Before Conversational AI

"Press 1 for billing, press 2 for ...". Rigid IVR phone trees that frustrate customers before they reach a human.
Rule-based chatbots that follow scripts. One unexpected question and the whole experience falls apart.
Customers repeat themselves every time they switch channels, phone to chat to email. Nothing carries over.
Scaling means hiring. More agents, more shifts, more training, more cost. Quality varies person to person and call to call.
Single-language support, or clunky handoffs between language-specific teams that slow resolution and lose key context.

With ElevenLabs Conversational AI

Customers speak naturally and get understood. No menus, no keywords, no waiting.
Grounded in your knowledge base, agents adapt to questions, edge cases, and topic changes in real time.
Seamless continuity across voice, chat, phone, and web. One conversation, one context, regardless of channel.
Scales instantly to handle millions conversations at a fraction of the cost. No hiring surges, no training ramps, no inconsistency.
Real-time language detection and switching across 70+ languages. Agents serve global customers without transfers or delays.

Build your first conversational AI in 5 minutes

Spin up your very own conversational AI agent instantly with a simple prompt or pick one of our prebuilt templates. No complex setup, no long onboarding. Just describe what you want watch it come to life.

Configure its knowledge

Upload docs, FAQs, or connect a data source so it can answer accurately and act with full context.

Define your procedures

Define workflows, actions, and escalation paths so it handles real-world scenarios precisely.

Monitor and Improve

Track conversations, identify gaps, and refine performance over time from an intuitive dashboard.

UI for the ElevenAgents Conversational AI platform showing a configuration for a prompt
Workflows UIWorkflows
Tracking results UI for Conversational AI Agents platform

Configure its knowledge

Upload docs, FAQs, or connect a data source so it can answer accurately and act with full context.

If I was a betting man in this AI voice space, I would definitely bet on ElevenLabs.

Jayesh Gupta

Head of AI and Innovation

ElevenLabs did end-to-end for us. They also allowed us the capability to take it apart and stitch together with other solutions if we needed to, but we didn’t need to.

Mitch Lieberman

VP of Product

Voice has that magic that brings the experience alive, and it has worked wonders for us.

Mandar Bapaye

Chief Product Officer

Conversational AI use cases

Telecom Support

Emotionally & contextually aware conversational AI

Emotionally expressive conversational AI sounds on-brand, responds at the right moment, and adapts to customer emotion. Customers feel helped, not processed.

  • White-glove service

    Leverage the implementation expertise of ElevenLabs FDEs to reduce time to deploy and turn AI into measurable business outcomes
    Create Agent
  • Create custom SOPs

    Specify SOPs without code and watch the agent follow your policies and resolve user issues.
    Support Agents workflow simple
  • Improve interactions over time

    Continuously improve CX over by time analyzing results, conducting A/B tests or correcting behavior in plain text.
    Improve response
  • Safety first AI

    Validate safety and compliance guardrails at any time. Ensure your conversational AI enforces your business requirements
    Agent Guardrails

Sub-second responsiveness

Natural, real-time voice without awkward pauses - improving resolution rates and CSAT.

10,000+ voices

Choose from 10,000 expressive voices (or clone yours) to match every product, region, and use case.

Multilingual support

Support customers in 70+ languages with native-sounding speech and consistent tone across every channel.

0,000,000

Agents launched and counting

Integrate effortlessly with the tools you already use

Connect your conversational AI to your CRM, support desk, calendar, payment system, or telephony provider. Most tools work out of the box with minimal setup

Enterprise-grade security and infrastructure at scale

Foreground

Getting started with conversational AI

Create on the platform

Build your first conversational AI agent in just a few minutes using our web platform. No coding required.

Create Agent

Conversational AI APIs

Build, launch and scale conversational AI using our APIs and SDKs

Create Agent APIs

Frequently asked questions

Conversational AI is a category of artificial intelligence that enables software to understand, process, and respond to language in a natural human-like manner. Unlike traditional chatbots that follow rigid scripts, conversational AI uses natural language processing (NLP), large language models (LLMs), and machine learning to interpret what someone actually means, maintain context across a conversation, and generate relevant responses in real time. In practice, conversational AI powers everything from voice agents that handle customer support calls to chat assistants that help users navigate a website, make purchases, or book appointments. Without human intervention.
Conversational AI works through a pipeline of interconnected technologies. When a user speaks or types, the system first converts that input into something it can process. For voice, this means automatic speech recognition (ASR) transcribes audio into text. Natural language understanding (NLU) then interprets the meaning, intent, and context behind the words. A language model generates an appropriate response, and for voice applications, text-to-speech (TTS) converts that response back into natural-sounding audio. What separates modern conversational AI from older systems is that each of these steps is powered by machine learning, meaning the system improves over time. Advanced platforms like ElevenLabs co-locate all of these components, transcription, understanding, generation, and synthesis, to minimize latency and deliver responses that feel like real conversation rather than a back-and-forth with a machine.
A chatbot is a specific application. Conversational AI is the underlying technology. Traditional chatbots are rule-based. They follow decision trees and match keywords to pre-written responses. They work fine for simple FAQs but break down the moment a user asks something unexpected or phrases a question in a way the system wasn't programmed for. Conversational AI, by contrast, understands intent and context. It can handle ambiguity, follow multi-turn conversations, remember what was said earlier, and generate original responses rather than selecting from a script. A traditional chatbot is like a phone tree in text form. A conversational AI is like talking to someone who actually understands you.
Generative AI is a broad category of AI that "generates" content such as text, images, code, audio, video, based on patterns learned from training data. Conversational AI is a specific application of generative AI focused on real-time dialogue. Think of it this way. Generative AI can write an essay, create an image, or compose music. Conversational AI uses many of the same underlying technologies but applies them specifically to back-and-forth human interaction, where understanding context, managing turn-taking, maintaining memory, and responding in real time all matter. Most modern conversational AI platforms, including ElevenLabs, orchestrate many AI models to create conversational experiences. For example, we use Scribe to transcribe your speech, an LLM to understand the context of a conversation and our TTS model to generate the response. This pipeline creates real-time natural conversations and dialogues.
Conversational AI is used across virtually every industry where businesses communicate with customers or employees at scale. The most common use cases include customer support automation (handling inquiries, troubleshooting, and ticket resolution 24/7), outbound sales and lead qualification (AI agents that make calls, qualify prospects, and book meetings), appointment scheduling (healthcare, hospitality, financial services), order management and transactional support (checking balances, processing returns, updating accounts), employee-facing applications (IT helpdesk, HR onboarding, internal knowledge retrieval), and accessibility (voice-based interfaces for users who can't navigate traditional digital channels).
Yes, we have a WebSocket API and Javascript, React, Python and iOS SDKs.
You need to integrate with Twilio, Genesys, Vonage, Telynx, Plivo or connect to any SIP compatible PBX or telephony system. Inside the ElevenLabs platform this is a one click process most of the time

Conversational AI is used by companies of any size

The most realistic voice AI platform

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