ElevenLabs

What ElevenLabs conversational AI is

ElevenLabs sells a conversational AI platform for building agents that talk and type with customers across phone, chat, email, and WhatsApp. The company's homepage leads with voice generation, and the conversational product is built on that: it calls the agent product ElevenAgents, with the pitch "Deploy agents that talk, type, and take action." It is written for customer-facing and operations teams, such as support, sales, healthcare intake, and retail, who want an agent without writing the speech and language plumbing themselves. The site's structured data gives a New York address and a founding date of 2022, and names Mati Staniszewski and Piotr Dabkowski as co-founders.

The company draws a line between a chatbot and conversational AI. In its words, a chatbot is a specific application and conversational AI is the underlying technology. Traditional chatbots follow decision trees and keyword matches, work fine for simple FAQs, and break when a user phrases something unexpectedly. Conversational AI, it says, understands intent and context, handles ambiguity, follows multi-turn conversations, and generates original responses rather than selecting from a script. Its own image is that a traditional chatbot is a phone tree in text form, while conversational AI is like talking to someone who understands you.

What you build and how

The page headed "Build your first conversational AI in 5 minutes" describes the editor as prompt-first. You spin up an agent "with a simple prompt or pick one of our prebuilt templates," with "no complex setup, no long onboarding." After that it lists three stages. Configure its knowledge by uploading docs and FAQs or connecting a data source. Define your procedures, meaning workflows, actions, and escalation paths. Then monitor and improve by tracking conversations and identifying gaps. The homepage adds named features for the agent product: analytics that measure success rates and CX metrics, testing that simulates real-world conversations before deployment, guardrails that set behavioral and compliance rules, and workflows for complex flows and business logic connected securely to systems.

Voice is where the product is strongest, and this is the reason it also sits in the voice AI agent builders category. The company explains how a voice agent works as a pipeline of models. Scribe transcribes the caller's speech, a large language model works out the context, and the company's text-to-speech model speaks the reply. It says latency is minimized so responses feel like real conversation. The homepage lists Eleven Flash at 75ms latency for conversational use cases, alongside Eleven Multilingual, pitched for lifelike and consistent speech, and Eleven v3. Its timeline adds Eleven v4, released in September 2026, which it calls its fastest and most emotive voice models yet. A February 2026 entry in its timeline names an "Expressive Mode for Agents" release.

Channels are listed plainly. Agents "listen, read and interact just like humans would across phone, chat, email and WhatsApp," and the conversational page promises continuity across voice, chat, phone, and web, so a customer who switches channels does not start over. Real-time language detection and switching covers 70+ languages.

Integrations are a named list. The page says the platform can connect to over 8,000+ apps, including Gmail, Slack, and Salesforce. It then describes five by name. Stripe lets an agent process payments, manage subscriptions, and handle refunds within a conversation. Cal.com creates an "AI Scheduler" that checks availability and confirms times. Twilio lets an agent make and receive phone calls and work with SMS and WhatsApp. Zendesk lets the agent interact with tickets. HubSpot turns the CRM into an active teammate that uses customer data to personalize conversations and take on admin work.

Developers have a way in. The homepage lists an ElevenAPI product with an Agents API, a Speech Engine, a Text to Speech API, a Speech to Text API, a Dubbing API, a Sound Effects API, and a Music API, plus an API reference. The FAQ says you can put the agents into your own app through a WebSocket API and JavaScript, React, Python and iOS SDKs. For phone calls it names Twilio, Genesys, Vonage and Plivo among other providers, or any SIP-compatible PBX or telephony system, and calls the connection a one-click process inside the platform. Teams can set granular permissions and share voices, assets and resources across agents.

Use cases are listed by industry in the page's navigation: telecommunications, financial services, healthcare, government, technology, retail and e-commerce, travel and hospitality, and customer support. The healthcare section says conversational AI automates patient interactions like intake, triage, and appointment scheduling. The retail section says it guides shoppers, answers product questions, and reduces cart abandonment. A hotels page describes a virtual receptionist that handles calls around the clock.

What the pages say

The pages show no prices for the agents: no minutes, per-call rates or plan limits. The only plan references are a note that commercial rights for its music product vary by subscription tier, and a homepage promotion of 3x credits on Creator+ plans until October 12.

The company's scale claims are about performance and reach. It says the platform "scales instantly to handle millions conversations at a fraction of the cost," and describes real-time switching across 70+ languages. The wider platform page claims a Text to Speech API "independently rated the leading" model that supports 29+ languages, and a voice library of 10,000+ voices.

Customer names appear with one-line descriptions. Deliveroo is described as using voice agents to enhance the rider and restaurant experience. Meesho is described as delivering real-time, multilingual customer support with voice agents. Cars24 is described as powering India's largest voice-driven car retail operation. NVIDIA, Clay, and Duolingo appear for the creative products rather than agents. On security, the conversational AI page says data is encrypted in transit and at rest, "with support for SOC 2, HIPAA, and GDPR compliance," and that Regional Data Residency and Zero Retention modes are available for stricter data control. Its healthcare section describes HIPAA-compliant medical answering services, and the homepage adds a "Safety, built in" section on moderation and accountability.

Who it suits and who it does not

ElevenLabs suits a support or operations team that wants a voice-first agent, especially across several languages, and is happy to define procedures and escalation paths in a prompt-led editor. A developer who wants to build further on the same voices and speech models has the API family listed. An agency building agents for a retail or hospitality client can start from the templates.

It is less natural for someone who wants a drag-and-drop conversation flow chart or a free-form website chat bubble with no phone or voice involved, because the product is framed around voice and omnichannel agents. The pages also do not show prices, so a solo founder budgeting a pilot cannot work out a monthly cost from them.

The caveat is the one the company itself implies by listing "Monitor and Improve" as a stage. An agent grounded in your knowledge base is only as accurate as that documentation, and the escalation paths are yours to define and test.