ElevenLabs announced an $80 million Series B on January 22, 2024, valuing the AI-voice company at approximately $1.1 billion. Andreessen Horowitz, Nat Friedman and Daniel Gross co-led the round, joined by Sequoia Capital, Smash Capital, SV Angel, BroadLight Capital and Credo Ventures. The financing made ElevenLabs a unicorn, but it is now a historical milestone rather than the company’s latest raise: ElevenLabs later announced a $180 million Series C and a $500 million Series D.
The 2024 round is important because it financed a move beyond basic text-to-speech into dubbing, voice discovery, mobile reading, developer infrastructure and safety research.
What ElevenLabs actually raised
The company described the transaction as a priced Series B venture round—not a grant, debt facility, acquisition or employee liquidity program. ElevenLabs said the $80 million investment lifted its valuation to about $1.1 billion. The company’s announcement is available at ElevenLabs’ Series B announcement.
Investors
- Andreessen Horowitz (co-lead)
- Nat Friedman (co-lead)
- Daniel Gross (co-lead)
- Sequoia Capital
- Smash Capital
- SV Angel
- BroadLight Capital
- Credo Ventures
A valuation is an investor-set estimate of company value, not proof of profitability, revenue, product superiority or a guaranteed return for shareholders.
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Why the round mattered
It validated AI voice as a platform opportunity
An $80 million round at unicorn valuation signaled that the investors viewed synthetic speech as more than a niche creator feature. Potential markets included audiobooks, video localization, games, accessibility, publishing, customer support and software APIs.
It funded expansion beyond text-to-speech
ElevenLabs used the announcement to present a broader audio ecosystem: multilingual dubbing, a voice marketplace, mobile reading and updated models. The company called itself an industry leader in the announcement; that is company positioning, not an independently measured market ranking.
It put infrastructure and safeguards on the spending plan
ElevenLabs said the capital would support research, infrastructure, vertical-specific products and measures against misuse, including systems for detecting generated speech.
Products highlighted with the Series B
Dubbing Studio
Dubbing Studio was aimed at translating spoken video and other media into additional languages while retaining aspects of a speaker’s voice and delivery. That could reduce the production burden for film, education, publishing and international distribution. The announcement does not establish that every workflow preserves emotion, timing, cultural nuance or identity perfectly; those are performance questions requiring separate testing.
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- ENHANCED CONTEXT WITH MULTIMODAL INPUT: Capture audio, type notes, add images, and press to highlight key moments for richer context. During recording, instantly mark key moments with a single button press. Simultaneously enrich your audio by snapping photos of important documents or typing in ideas
- CHAT WITH YOUR RECORDINGS USING "ASK Plaud": Unlock deeper insights with this interactive AI. Ask questions, extract key points, draft emails, and get next-step suggestions—all grounded in your original audio for reliable, ready-to-use answers
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- Everything Included: Includes Plaud Note Pro, magnetic case, magnetic ring, charging cable, and a free Starter Plan with 300 transcription minutes per month. Upgrade anytime in the Plaud app to Pro Plan (1,200 min/mo) or Unlimited Plan(Up to 24 hours of transcription per user per day)
Voice Library
The Voice Library was presented as a discovery and marketplace layer for AI voices. It creates several distinct rights questions:
- Who designed or generated a voice?
- Is the voice available for reuse, and under what license?
- Was the source speaker’s consent obtained?
- How are attribution and compensation handled?
The Series B announcement does not provide a complete legal or commercial explanation for every voice in the library, so buyers should verify current terms before publishing or monetizing output.
Mobile Reader
ElevenLabs described a Mobile Reader app as an early preview in January 2024. That announcement should not be treated as evidence of the app’s availability, features or pricing in 2026.
Updated voice models
The company said its updated models improved speed and language coverage. Those are company claims from the announcement, not evidence that the models are universally the fastest or most realistic.
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What adoption did ElevenLabs report?
At the time of the announcement, ElevenLabs said users had generated more than 100 years of audio since launch, its staff had grown from five to 40 people, and employees at 41% of Fortune 500 companies used its technology. It also referred to millions of users.
These are historical, self-reported figures tied to January 2024. They are not current adoption statistics, and “100 years of audio” describes cumulative generated output rather than unique listening time.
Safety, consent and voice rights
Voice cloning can make authorized narration and localization easier, but the same capability can enable impersonation and fraud. Relevant risks include:
- Non-consensual cloning of performers, public figures or private individuals.
- Political, commercial or family-scam deception.
- Copyright, publicity-rights and performer-compensation disputes.
- Unclear disclosure when an audience is hearing synthetic speech.
- Errors in translated or emotionally acted dialogue.
ElevenLabs said it was developing detection of its own generated audio through an AI Speech Classifier and planned to extend detection to other voice-AI models. Detection and watermarking can help, but the announcement does not establish that either method identifies all synthetic audio or eliminates misuse. Organizations still need consent records, disclosure policies, access controls and legal review.
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What happened after the $80 million round?
| Date | Event | Reported amount and valuation | What it indicates |
|---|---|---|---|
| January 22, 2024 | Series B | $80 million; approximately $1.1 billion | Unicorn status and expansion into products, infrastructure and safety |
| January 30, 2025 | Series C | $180 million; $3.3 billion | Broader AI-audio research, developer tools and safety direction |
| September 8, 2025 | Employee tender offer | $100 million tender at a $6.6 billion valuation | Employee liquidity; not equivalent to a conventional primary funding round |
| February 4, 2026 | Series D | $500 million; $11 billion | Expansion into enterprise voice agents and conversational AI |
| May 5, 2026, updated June 17, 2026 | Additional Series D close and new investors | Amount not specified | Continued investor and enterprise momentum |
Sources: Series C, employee tender offer, Series D and later investor announcement.
How ElevenLabs’ strategy changed
The 2024 story centered on synthetic voices, dubbing, voice discovery and accessibility. By 2026, ElevenLabs described a wider platform spanning:
- Voice generation and cloning.
- Speech-to-text.
- Dubbing and audio production.
- Developer APIs.
- Conversational voice agents, including ElevenAgents.
- Enterprise workflows for support, sales, training and marketing.
- Research into expressive and emotional conversational models.
The strategic shift is from simply generating a voice to powering an end-to-end audio or voice interaction. ElevenLabs’ February 2026 announcement said 2025 revenue was over $330 million, while its later May announcement described 2025 year-end revenue as $350 million and said 2026 revenue had surpassed $500 million during the first four months. Those figures are company-reported and differ by announcement; they should not be silently treated as one reconciled series.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the economics mean for users
ElevenLabs combines subscriptions, credits, API consumption and enterprise arrangements. API charges are based on generation usage, not simply finished audio minutes. The developer page observed for this article listed:
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| Service | Observed rate |
|---|---|
| Turbo/Flash text-to-speech | $0.05 per 1,000 characters |
| Multilingual v2/v3 text-to-speech | $0.10 per 1,000 characters |
| Scribe v1/v2 speech-to-text | $0.22 per hour |
| Agents audio | $0.05 per minute |
| Music generation | $0.15 per minute |
| Voice changer | $0.12 per minute |
These were observed rates, not permanent prices. The API page says access is available across plans, including free access. See the developer API page and billing guidance.
The subscription page has displayed Free, Starter, Creator, Pro, Scale, Business and Enterprise options, with figures such as $0, $6, $22, $99, $299 and $990 per month respectively in one current snapshot. Cached versions have shown different allocations and prices, so confirm the live pricing page before purchase.
A realistic budget should count source-text characters, model choice, regeneration attempts, dubbing or conversion minutes, speech-to-text hours, agent minutes, seats, concurrency and commercial licensing—not just the final length of an audio file.
Who should consider ElevenLabs—and who should not?
Potentially strong fit
- Creators and publishers prioritizing expressive narration.
- Localization teams producing multilingual media.
- Developers wanting TTS, STT, dubbing and agents from one managed provider.
- Businesses that do not want to host speech models themselves.
Potentially poor fit
- Very high-volume, straightforward speech where unit cost dominates.
- Organizations requiring fully self-hosted or on-premises inference.
- Teams needing fixed monthly costs rather than character- and minute-based billing.
- Projects involving sensitive identities without confirmed consent, regional processing, retention and contractual controls.
Google Cloud Text-to-Speech, Amazon Polly and Microsoft Azure AI Speech may fit cloud-integrated or infrastructure-heavy deployments (Google, Amazon, Microsoft). PlayHT, Murf, Speechify Studio and Resemble AI are specialist alternatives. Self-hosted models can improve control and privacy, but GPU, engineering, maintenance, licensing and safety costs mean they are not automatically cheaper.
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ElevenLabs’ $80 million Series B was announced on January 22, 2024, and marked the point at which investors backed the company as a broad AI-voice platform rather than only a voice-cloning startup. The funding helped frame products such as dubbing, voice discovery, mobile reading, APIs and safety systems. For a current view, however, readers should look beyond the headline: the later Series C, Series D and enterprise-agent expansion show how ElevenLabs moved toward a full-stack audio and conversational-AI business.
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