ElevenLabs is an artificial intelligence research and product company specialising in audio and voice technology.

The company became widely known for its ability to generate remarkably natural-sounding speech from written text. Instead of producing the robotic voices traditionally associated with computer-generated speech, ElevenLabs focused on creating AI voices capable of expressing differences in tone, pacing, emotion, pronunciation and conversational style.

But the company has grown considerably beyond text-to-speech.

Today, ElevenLabs describes its business around three major platforms:

The company's technology is used for applications ranging from customer service and sales to audiobooks, video dubbing, content creation, accessibility and multilingual communication.

Mati Staniszewski is the co-founder and CEO of ElevenLabs.

He founded the company in 2022 alongside Piotr Dąbkowski, a former Google machine-learning engineer. ElevenLabs' own documentation says the founders were motivated partly by the challenge of improving the quality of voice dubbing and making content accessible across languages and voices.

Staniszewski has led the company's expansion from a specialised voice-generation startup into a broader AI audio and conversational-AI platform.

Under his leadership, ElevenLabs has increasingly focused on enterprise applications, particularly AI voice agents that can interact with customers and perform tasks rather than simply read text aloud.

Reuters reported in September 2026 that ElevenLabs' agents were handling more than 15 million conversations every week, three times the level reported in February. The company said its models can speak, listen and translate in more than 90 languages.

ElevenLabs was founded in 2022.

Its initial focus was relatively specific: improve the quality of synthetic speech.

Traditional text-to-speech systems could convert written words into audio, but the results often lacked the characteristics people naturally associate with human communication.

Human speakers change their:

ElevenLabs built AI models designed to reproduce more of these characteristics.

The technology quickly attracted attention among content creators, publishers, developers and businesses, helping the company move from a voice-generation product toward a much larger AI platform.

Its business has since expanded into conversational agents, dubbing, speech recognition, music, sound effects and other forms of generative media.

The easiest way to understand ElevenLabs is to think of it as an AI infrastructure and application company for audio and voice.

The company's best-known technology converts written text into spoken audio.

A user can provide a script and select or create a voice. The AI then generates speech with control over characteristics such as delivery and expression.

This can be used for:

Its latest Eleven v4 model is designed for highly expressive speech and supports more than 90 languages.

This is one of the most important parts of ElevenLabs' current business strategy.

Instead of simply generating a voice recording, ElevenAgents can participate in conversations.

For example, a company could use an AI voice agent to:

Reuters reported that ElevenLabs' agents are already being used for tasks such as processing refunds, renewing insurance policies and booking appointments.

This shift from "AI that speaks" to "AI that can communicate and act" is a major reason enterprise demand has become so important to the company.

ElevenAgents uses several AI components working together.

According to ElevenLabs' documentation, its architecture coordinates four core components:

In simple terms:

Person speaks → AI understands → language model processes the request → AI generates an answer → voice model speaks → conversation continues

This is more complicated than ordinary text-to-speech because the system needs to respond quickly enough for the interaction to feel conversational.

ElevenLabs therefore focuses heavily on low latency, natural speech, turn-taking and expressive delivery.

Another major ElevenLabs technology is AI voice cloning.

Voice cloning allows a system to create a synthetic voice that resembles a real speaker based on audio samples.

ElevenLabs currently offers different forms of voice cloning, including Instant Voice Cloning and Professional Voice Cloning.

Professional Voice Cloning involves a more extensive process and is designed to create a higher-quality representation of the user's voice.

The technology has applications in:

However, voice cloning also creates serious questions around impersonation, consent, copyright and misuse.

ElevenLabs says Professional Voice Clones require verification that the voice belongs to the person creating the clone. The company also has safeguards intended to prevent certain public-figure voice impersonations and other misuse.

ElevenLabs is also heavily involved in AI-powered dubbing.

Its Dubbing technology can take audio or video and generate versions in other languages while attempting to preserve characteristics of the original performance.

Its 2026 Dubbing v2 system uses an audio-to-audio approach designed to retain elements such as:

This is particularly useful for films, YouTube videos, online courses, podcasts and international marketing campaigns.

Instead of recording every translated version manually, companies can automate much of the localization workflow.

ElevenLabs also works in the opposite direction.

Instead of:

Text → Speech

its speech-recognition technology can perform:

Speech → Text

Its Scribe technology is designed for transcription, including speaker identification and timestamps.

This can be useful for:

The company has continued expanding Scribe, including medical applications.

ElevenLabs is no longer exclusively an audio company.

Its ElevenCreative platform now brings together several generative-media capabilities.

The company offers tools for generating or editing:

This represents a broader strategy: instead of being only a text-to-speech provider, ElevenLabs is building a larger AI media creation ecosystem.

Its MCP integration also allows users to access several of these capabilities through AI assistants and other supported applications.

At a high level, ElevenLabs uses generative AI, deep-learning models, speech recognition, language models and neural speech synthesis to process human language and audio.

The exact internal model architecture and training methods are proprietary, so it would be inaccurate to describe ElevenLabs as simply using one publicly known AI architecture.

Its technology stack includes several important components.

ElevenLabs develops its own speech-generation models rather than functioning only as a simple interface over another company's voice model.

Its current Eleven v4 model is designed around highly expressive speech, including multiple speakers, emotional delivery and sound events.

Eleven v4 supports 90+ languages.

Speech-to-text models allow the system to understand spoken language and convert conversations into text that other AI systems can process.

ElevenAgents can use a user's chosen language model or custom LLM as part of the agent architecture.

This means the voice system is not simply responsible for speech. A language model can provide the reasoning and conversational response while ElevenLabs handles important audio components.

For real-time conversations, waiting several seconds after every sentence would make an AI agent feel unnatural.

Eleven v4 Turbo is designed for real-time speech generation, while ElevenLabs' platform supports streaming so audio can begin arriving before an entire response has been generated.

This is particularly important for AI customer-service agents and voice assistants.

A conventional AI chatbot primarily communicates through text.

For example:

User → types question → AI → generates text response

A voice agent introduces several additional layers:

User speaks → speech recognition → AI reasoning → response generation → speech synthesis → user hears response

ElevenLabs focuses heavily on the final communication layer: making AI sound natural and expressive.

That gives the company a role somewhat different from companies primarily focused on general-purpose language models.

Its technology can also connect with external language models, business systems and APIs, allowing the voice layer to become part of a larger AI workflow.

The company's latest valuation is one of the biggest developments in its story.

On September 30, 2026, ElevenLabs announced a $300 million employee tender offer that valued the company at $22 billion.

Reuters reported that the tender was led by Wellington Management and T. Rowe Price, with participation from existing investors including Andreessen Horowitz and Lightspeed, as well as new investors such as EQT and Goldman Sachs.

The valuation is roughly double the $11 billion valuation ElevenLabs achieved in its February 2026 Series D funding round.

That earlier round raised $500 million.

A tender offer is different from a conventional startup funding round.

In a typical funding round:

Investors give new money → company issues new shares → company receives capital

In an employee tender offer:

Investors purchase existing shares → employees/existing shareholders receive liquidity

Therefore, the $300 million transaction should not simply be described as "ElevenLabs raised $300 million in new funding."

The important headline is that investors purchased shares at a valuation of $22 billion, providing a new reference point for the company's private-market value.

The valuation increase has been rapid.

ElevenLabs was valued at approximately:

The company also reported strong growth in recurring revenue.

In February 2026, ElevenLabs said it had ended 2025 with more than $330 million in annual recurring revenue, driven by enterprise adoption.

By May 2026, the company said it had already surpassed $500 million ARR during the first four months of the year.

The latest valuation therefore comes alongside rapid growth in enterprise use of its AI voice technology.

One major reason is automation.

Businesses spend enormous amounts of money on customer support, sales calls, appointment scheduling and other repetitive communication.

AI voice agents can potentially automate portions of these workflows while operating around the clock.

For example, imagine a customer calling an insurance company.

Instead of waiting for a human employee, an AI agent could:

The goal is not necessarily to replace every human interaction. Rather, companies can use AI to handle routine and high-volume conversations, allowing human employees to focus on more complicated cases.

The company's development reflects a broader transition in artificial intelligence.

Early generative AI focused heavily on text and images.

Then came increasingly capable systems for:

Voice agents represent a combination of several of these technologies.

They can understand spoken language, process information, generate a response and communicate naturally through speech.

That makes voice one of the potential interfaces through which people will interact with AI systems in everyday life.

The same technology that makes ElevenLabs powerful also creates challenges.

Voice cloning can be misused to imitate people without authorisation.

Potential risks include:

ElevenLabs says it has implemented safeguards, including restrictions around certain public-figure voices, voice verification and systems intended to trace generated audio to the responsible user.

The company also states that its AI safety programme combines research, engineering and policy measures.

As voice AI becomes more realistic, questions around consent, provenance, authenticity and regulation are likely to become increasingly important.

ElevenLabs began with a relatively focused objective: make synthetic speech sound more human.

Its current ambitions are much broader.

The company now describes itself as an AI research and product company focused on transforming how humans interact with technology.

Its three platforms illustrate that direction:

ElevenAgents → AI-powered conversations and business automation

ElevenCreative → AI-generated speech, music, images and video

ElevenAPI → AI audio infrastructure for developers

In other words, ElevenLabs is trying to build not just a voice generator, but a broader AI communication and media platform.

ElevenLabs is an important example of how the AI market is evolving from individual generative tools toward complete AI systems capable of interacting with people and performing tasks.

Its latest $22 billion valuation reflects investor interest in that transition, while its growing enterprise customer base demonstrates where the company is attempting to create commercial value.

The most significant part of ElevenLabs' story may therefore not be the ability to generate an impressive artificial voice.

It is the combination of:

Speech + AI reasoning + real-time interaction + automation + multilingual communication.

That combination could make voice one of the most important interfaces between humans and AI.

ElevenLabs started with a simple but technically difficult problem: how can a machine speak more like a human?

In just a few years, that idea has developed into a much larger AI business.

Today, ElevenLabs builds technology for voice generation, voice cloning, speech recognition, dubbing, AI agents, music, sound effects and creative media, while also providing APIs for developers.

Its $22 billion valuation in September 2026 shows how rapidly the market for AI voice and conversational agents has expanded. More importantly, the company's growth illustrates a broader change in AI: systems are moving from simply generating content to communicating with people and carrying out tasks in real time.

For ElevenLabs, the long-term opportunity is therefore much bigger than making an AI voice sound realistic. It is about making interaction between humans and AI feel increasingly natural.