ElevenLabs published a blog post titled “Introducing ElevenLabs Agents.” Based only on the title, it appears to be an official product or feature introduction. No source text was provided, so details such as capabilities, pricing, availability, integrations, or technical architecture cannot be confirmed.
ElevenLabs introduced Agent Workflows for its Agents platform, a visual editor for mapping conversation flows and decision points. Instead of relying on one large agent prompt, teams can route tasks to specialized subagents with scoped prompts, tools, knowledge bases, and credentials. The feature emphasizes auditability, security policy enforcement, human escalation, and per-step model choices to balance cost, latency, and accuracy.
ElevenLabs says it signed an MoU with Ukraine’s Ministry of Digital Transformation to support AI public-service deployment. The work spans education, economy, healthcare, and foreign affairs, including AI tutors, business support, public feedback, speech technology, dubbing, and translation. The article frames Ukraine as a pioneer in agentic government, where AI agents operate across ministries to connect national systems with citizens’ needs.
Harvey and ElevenLabs announced a partnership to bring ElevenLabs Text to Speech and Speech to Text into Harvey’s legal AI platform. The first phase will let Harvey deliver spoken answers in almost any language or dialect. Future plans mentioned include multilingual voice translation, voice mode, spoken trial simulations, tone customization, and related voice features.
ElevenLabs introduced Scribe v2 Realtime, a low-latency speech-to-text model built for live transcription, voice agents, meeting assistants, and real-time captions. The company says it transcribes in under 150 ms across several major languages and supports 90 languages. Key features include automatic language detection, VAD, manual commit, text conditioning, multiple audio formats, API access, ElevenLabs Agents integration, and enterprise compliance options.
TVS Motor Company is using ElevenLabs Agents Platform to power voice-and-text AI agents across international websites. The agents handle product discovery, lead capture, NPS calls, and customer feedback in more than 25 countries. ElevenLabs reports early gains including a 35% lift in lead capture, 80% faster feedback turnaround, and support for nine localized languages.
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.
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.
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.
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.
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 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.
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 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.
NVIDIA and LG Group are collaborating on an AI factory to support LG’s AI-driven businesses across robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA’s AI factory platform with LG’s manufacturing, mobility, robotics and infrastructure capabilities. It also covers Isaac, Cosmos, DRIVE, DSX and EXAONE-related work using Blackwell GPUs, NeMo, Nemotron datasets and TensorRT-LLM.
Nvidia announced partnerships with SK Hynix, NAVER and Doosan Group to bring its technology into AI data center projects in Korea. The collaboration also covers next-generation memory development, tying Nvidia more closely to Korea’s semiconductor and digital infrastructure ecosystem. The article does not specify investment size, deployment timeline or data center scale.
A r/LocalLLaMA user says they have tested many local TTS tools, but none match ElevenLabs for expressiveness, voices, and cloning. They list moss-nano and Kokoro as the best edge-device candidates so far, with edgeTTS as a free/cloud option. The post asks for community experience connecting agents such as Hermes, openclaw, or opencode to Telegram voice notes or real-time voice conversations.
This GitHub repository collects Rust Embassy examples for Raspberry Pi Pico 2 and Pico 2 W. Its Matter Wi-Fi light example uses rs-matter, BLE commissioning, and Wi-Fi connectivity so the board can appear as a standard smart bulb in Home Assistant, Apple Home, or Google Home. The project is mainly relevant to embedded Rust and smart-home developers, not AI model users.
NVIDIA and Doosan Group are expanding their partnership across physical AI, robotics and AI factory infrastructure. The collaboration connects NVIDIA’s accelerated computing stack, DSX, MGX and physical AI tools with Doosan’s industrial automation, power generation and electronics materials capabilities. Key areas include smarter industrial robots, autonomous equipment, AI data center power systems and advanced PCB materials for high-performance servers and networking.
A popular Reddit post highlights a video demonstrating a "Fully Hallucinated Operating System" run entirely inside an LLM. By prompting the model to act as a terminal, it simulates file systems, network requests, and command execution purely through text generation. While impractical for production, this experiment showcases the impressive state-tracking and "world model" capabilities of modern LLMs.