ElevenLabs says it is partnering with Liberty Global to accelerate voice AI expansion across Europe. Based only on the title, the announcement appears to be a business partnership focused on distribution or adoption rather than a specific model release. Details such as products, rollout countries, timelines, pricing, integrations, and commercial terms are not available from the provided source text.
MasterClass partnered with ElevenLabs to give AI versions of well-known instructors realistic, low-latency voices in MasterClass On Call. The article highlights voice quality, response latency, and close collaboration on data, training, and quality assurance as key reasons for the partnership. MasterClass says over 75% of On Call users interact by voice, with safety handled through red teaming, moderation, and human review.
ElevenLabs published a blog post titled “Introducing The Eleven Album.” Based only on the title, this appears to be a release or introductory announcement for a new project. The provided content does not include details on format, availability, technical features, collaborators, licensing, or whether it is directly tied to ElevenLabs’ voice AI tools.
ElevenLabs published a blog post titled “Introducing Scribe v2.” With no source text provided, the only confirmed information is that it introduces Scribe v2. It likely concerns an updated transcription or speech-to-text product, but features, accuracy claims, pricing, API access, language support, and rollout details cannot be verified from the title alone.
ElevenLabs announced it is an official partner of Audi Revolut F1 Team, focusing on AI-powered audio and voice generation. The partnership aims to help the team communicate with global fans through scalable, culturally resonant content across digital platforms. The post does not disclose specific product launches, technical details, timelines, or deployment formats.
Based only on the title, the post centers on enterprise voice AI and local deployment. It likely targets organizations that want voice AI capabilities in controlled infrastructure rather than relying solely on cloud-hosted services. Without the original article text, no specific product features, supported environments, pricing, model details, security claims, or customer examples can be confirmed.
ElevenLabs published a blog post announcing that Eleven v3 is now generally available. Since the article body was not provided, the only confirmed detail is the availability milestone, not specific feature, pricing, API, language, or performance changes. Developers and creators using voice AI should review the official post before making adoption decisions.
Based only on the title, this ElevenLabs Blog post likely discusses multilingual diplomacy during Poland’s presidency of the Council of the EU. It may involve voice, translation, or audio workflows, but the original text is unavailable, so specific claims cannot be verified. The main signal is that AI voice tools are being positioned for public-sector and international communication use cases.
The provided title indicates that Deutsche Telekom and ElevenLabs have announced a partnership. Because the original article text is unavailable, the partnership scope, products, launch timing, markets, and technical details cannot be confirmed. This should be treated as a business collaboration signal involving an AI voice company and a major telecom group, not as evidence of a specific product launch.
Revolut selected ElevenLabs Agents as a first line of voice support for UK and European customers. The rollout covers more than 4 million customers, supports 31+ languages, and reportedly reduced time to resolution by over 8x. The case highlights enterprise AI voice agents in financial services, with emphasis on latency, voice quality, compliance, orchestration control, and secure integration with existing systems.
ElevenLabs’ blog title presents Klarna as an enterprise case study for ElevenAgents. The stated result is a 10X reduction in Time to Resolution, likely tied to customer support or operational workflows. Because the article text was not provided, details such as scope, methodology, baseline, and deployment design cannot be verified here.
ElevenLabs announced a $500 million Series D at an $11 billion valuation, more than triple its valuation from a year earlier. The round was led by Sequoia Capital, with A16Z, ICONIQ, Lightspeed, BOND, and others participating. The company says it will invest in ElevenAgents, ElevenCreative, ElevenAPI, voice agents, conversational models, dubbing, audio research, and international expansion.
ElevenLabs introduced ElevenLabs for Government, a dedicated initiative for public sector organizations using voice and chat agents. The offering targets resident FAQs, benefits and permit workflows, crisis hotlines, outbound communications, and multilingual public messaging. The company cites deployments with Ukraine, the Czech Republic, and Midland, Texas, emphasizing accessibility, automation, and higher call coverage.
Based only on the title, this ElevenLabs Blog post appears to frame an SXSW moment around honoring Eric Dane’s legacy and advancing 1 Million Voices. The article likely emphasizes voice technology’s social or human impact rather than a technical model release. Without the source text, details about participants, implementation, outcomes, or product updates cannot be verified.
ElevenLabs’ blog title indicates the company is expanding in Spain. With no article body provided, the exact nature of the expansion is unclear, including whether it involves hiring, offices, partnerships, localization, or product updates. The news mainly signals continued international growth for an AI voice company, but its practical impact cannot be assessed without the full post.
ElevenLabs announced two education-focused initiatives: Impact Program x Professors and an Einstein voice-based learning experience. The professor program offers free Pro-tier access and time-bound student access for courses and projects. The Einstein experience brings his recreated voice to ElevenReader and an AI Agent, letting users listen to or conversationally explore his writings and scientific ideas.
ElevenLabs introduced ElevenMusic, an AI-powered music discovery and creation platform built on its fully licensed music model. Users can remix discovered tracks by changing genre or tempo, or start from lyrics, melodies, and moods to create full songs. The launch emphasizes artist collaboration, fan participation, publishing, and monetization, with over 4,000 independent and emerging artists already involved.
ElevenLabs says it will triple its Australia and New Zealand team over the next year, adding sales and forward-deployed engineering roles. The company cites more than 750,000 regional users and enterprise customers including Xero, Greenstone Financial Services, Heidi Health, Andromeda Robotics, and Employment Hero. The update focuses on enterprise voice AI adoption, including outbound calls, customer screening, content creation, and aged-care companion robotics.
ElevenLabs says Music v2 improves vocals, instrumentation, arrangement, and multilingual generation across genres. The model adds finer control through inpainting, section-by-section song building, reference matching, and more complex vocal or stylistic handling. It powers ElevenMusic and ElevenCreative now, with ElevenAPI access coming soon, and is positioned for musicians, developers, brands, and content teams.
ElevenLabs introduced Dubbing v2, a new AI dubbing model that preserves tone, pacing, delivery, and emotional intent from the original speaker. It supports more than 90 languages and uses sync-aware translation to make dubbed speech feel more natural. The product is available in ElevenCreative and ElevenProductions, while API access is coming soon.
ElevenLabs is holding its third company summit in Warsaw, bringing together about 2,500 founders, leaders, researchers, developers, artists, institutions, and investors. The post emphasizes Poland’s growing role in AI and Europe’s tech ecosystem. It also frames the event as a personal homecoming for the founders, who met near Warsaw and built their first voice model there.
ElevenLabs announced in its blog title that it has crossed $500 million in annual recurring revenue. The company also says it welcomed new investors, including BlackRock, NVIDIA, Jamie Foxx, and Eva Longoria. Since no article body is provided, details such as funding amount, valuation, revenue mix, product roadmap, or specific strategic partnerships cannot be confirmed.
The source only provides the ElevenLabs Blog category title “Resources,” without article text or specific details. It appears to be a resource-oriented category or index rather than a standalone announcement, paper, or incident. Its value is mainly as a pointer for later tracking, not as a substantive AI news item.
This source points to the Research category on the ElevenLabs Blog rather than a specific article. No body text, article list, date, author, model name, method, or result was provided. It should therefore be treated conservatively as a research-related index page, not as a confirmed release, paper, or benchmark.
ElevenAPI is a developer category on the ElevenLabs blog rather than a single detailed article. It collects updates and tutorials around speech, music, conversational agents, API keys, web components, and integrations. Listed posts mention Lovable, ElevenLabs UI, Music API, Claude 3.7 Sonnet, Gemini 2.0 Flash, DeepSeek R1, Voice Isolator API, timestamped TTS endpoints, and Speech-to-Speech API.
Only the source, URL, and title “ElevenCreative” are available. The name suggests a possible ElevenLabs blog category related to creative audio or voice content, but no details are confirmed. Without the original article text, it cannot be classified as a launch, tutorial, or business update with confidence.
Only the title “ElevenAgents” and the ElevenLabs Blog category URL are available. This appears to be a category or topic page rather than a fully provided article. No concrete product features, release details, pricing, integrations, or technical claims can be confirmed from the supplied text.
NVIDIA says the UK’s “AI maker” strategy is moving into deployment through domestic AI cloud infrastructure, Isambard-AI, and the Sovereign AI Fund. UK startups are using NVIDIA technologies for coding agents, self-improving AI, inference optimization, and biological foundation models. The post also covers NVIDIA’s UK startup investment, developer training, 6G collaboration, and enterprise AI projects moving from pilots into production.
The source only provides the title, so no conclusion or evidence can be verified. The topic appears to ask whether an agents.md file helps coding agents understand project conventions, commands, and constraints. This is relevant to developers adopting AI coding tools, but any claims about effectiveness would require the original post or supporting examples.
An analysis of Gemma 4 QAT GGUF files reveals that Google's official 'Q4_0' releases actually employ a mixed-precision strategy. For smaller models like E2B and E4B, Google keeps critical token embeddings in Q6_K and certain projection weights in F16. This makes Google's Q4_0 files larger and more precise than Unsloth's 'Q4_K_XL' versions, which default to standard Q4_0 for almost all tensors.