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ElevenLabs Raises $500M At $11B Valuation, Considers IPO

Funding Milestone And Strategic Partnerships

London-based AI startup ElevenLabs announced a significant funding round, securing $500 million at an $11 billion valuation. The round was led by Sequoia Capital and saw strong participation from established investors, including Andreessen Horowitz and Iconiq Capital. New backers such as Lightspeed Venture Partners, Evantic Capital, and Bond also joined the round, underscoring the robust investor confidence in the company’s disruptive AI technology.

Innovative Growth And Enterprise Adoption

Founded in 2022, ElevenLabs initially gained recognition for its advanced text-to-speech models before expanding its portfolio to incorporate speech-to-text, sound effects, dubbing, music, and conversational AI. Its cutting-edge products empower enterprises to deploy voice and chat agents and offer brands and creators a platform to generate and localize audio content. Industry giants, including Nvidia, Meta, and Salesforce, leverage ElevenLabs’ voice infrastructure to innovate their offerings.

Scaling Globally And Preparing For An Ipo

ElevenLabs closed 2025 with an impressive $330 million in annual recurring revenue, driven by enterprise adoption from clients such as Deutsche Telekom and Revolut. Cofounder Mati Staniszewski remarked, “This funding helps us go beyond voice alone to transform how we interact with technology altogether,” hinting at the company’s broader plans. With offices spanning Europe, Brazil, Mexico, India, South Korea, Japan, and the United States, the firm is well-positioned for international expansion while gearing up for a potential IPO.

AI Startup Funding At Record Levels

The surge in investment in the AI sector is not isolated. In 2025, European AI startups raised a record €21.6 billion, with notable rounds including French model builder Mistral’s €1.7 billion raise and UK-based Nscale’s $1.1 billion funding. Additionally, landmark rounds for companies like German defence tech Helsing and UK avatar developer Synthesia further illustrate the market’s escalating confidence. In the United States, investors pumped $164.6 billion into AI companies. Major funding rounds for OpenAI, Anthropic, and xAI drove much of this growth, alongside reports that Amazon could invest up to $50 billion in OpenAI.

As AI continues to redefine the technological landscape, ElevenLabs’ latest funding round not only marks a significant milestone for the company but also highlights the broader industry’s momentum towards transformative, next-generation AI applications.

New Strategic Alliance Signals Shift In Enterprise AI Integration

Faced with persistent challenges in achieving a tangible return on AI investments, enterprises are rethinking their integration strategies. In a notable development, French AI research lab Mistral AI has entered a multiyear alliance with global consulting powerhouse Accenture to jointly develop enterprise technology using Mistral’s advanced AI models.

Elevating Enterprise Solutions Through Strategic Consulting

The partnership gives Mistral AI access to Accenture’s global enterprise client base while allowing Accenture to expand its portfolio of AI tools for corporate customers. Industry analysts note that enterprises often struggle to move beyond pilot projects, and consulting-led integration has become a common strategy for translating AI capabilities into measurable business outcomes.

Expanding The AI Ecosystem

Financial details and the duration of the agreement were not disclosed. As part of the partnership, Accenture will also integrate Mistral’s technology into its own internal workflows. The move follows similar alliances across the sector, including OpenAI’s enterprise-focused partnerships and collaborations involving Anthropic with consulting firms such as IBM and Deloitte, highlighting a broader trend toward ecosystem-driven AI adoption.

Redefining The Role Of Consulting In AI Adoption

The collaboration underscores how consulting firms are increasingly acting as intermediaries between AI developers and enterprise clients. Rather than adopting AI tools independently, many companies are turning to consultants to manage deployment, governance, and long-term integration.

For AI providers, these partnerships offer a way to accelerate adoption while reducing barriers related to implementation complexity. As enterprise AI adoption continues to evolve, market participants will be watching whether consulting-led strategies deliver stronger returns and more consistent operational outcomes.

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