
Co-founder and CEO at ElevenLabs
Mati Staniszewski, co-founder and CEO of ElevenLabs, discussed how the company built a frontier audio AI business with over 400 people and $400M+ in revenue, focusing on voice as the primary interface for agents and robots.
How media typically covers Mati Staniszewski
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ElevenLabs raised $500M from Sequoia Capital at an $11 billion valuation, more than tripling its January 2025 valuation, with plans to expand beyond voice into video and AI agents.
“Co-founder discussing plans to expand beyond voice into video and agents”
Referenced in coverage
“Mati Staniszewski is a byline author at ElevenLabs discussing the launch of Eleven v4, the most emotive text-to-speech model.”
“Staniszewski explained that AIUC-1 certification helps ElevenLabs accelerate enterprise adoption of ElevenAgents with confidence.”
“Announced partnership with Universal Music Group to develop AI-powered music creation platform with licensing and remixing capabilities.”
“Cofounder and CEO of ElevenLabs announced strategic collaboration with Universal Music Group to create licensed AI music platform.”
“Announced ElevenLabs' multiyear licensing agreement with Universal Music Group to develop AI music platform.”
“Cofounder and CEO of ElevenLabs discussing the company's AI audio models and the new partnership with Universal Music Group to create a licensed music creation platform.”
“CEO of ElevenLabs who stated the company aims for an IPO within two to three years and noted the company's rapid ARR growth to $330 million.”
“Mati Staniszewski, co-founder and CEO of ElevenLabs, discussed how the company built a frontier audio AI business with over 400 people and $400M+ in revenue, focusing on voice as the primary interface for agents and robots.”
ElevenLabs CEO argues voice is becoming the next major human-computer interface as AI models integrate voice with reasoning capabilities, positioning voice as a key battleground as AI expands into wearables and hardware.
“Stated that voice is becoming the next major interface for AI and that voice models have moved beyond mimicking human speech to working with reasoning capabilities of large language models.”