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11Labs CEO reveals company hit 600 million ARR in under three years

All-In Podcast · The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour · July 14, 2026
11Labs CEO reveals company hit 600 million ARR in under three years
All-In Podcast
All-In Podcast
The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour
"We started company 2022. First year was all about building the research and the product. We built the first text-to-speech model that finally could sound human. Released it in 2023, beginning of 2023. Then it took us roughly 20 months to get to the first 100 million in ARR. Roughly 10 months to get to 200, 5 months to get to 300. And that's how we closed end of the last year and now we are at 600."
11Labs has achieved $600 million in annual recurring revenue within approximately three years of launching its text-to-speech product in early 2023. The company's growth has dramatically accelerated, taking 20 months to reach $100M ARR, then 10 months to $200M, 5 months to $300M, and has now doubled to $600M. The company currently employs 600 people and maintains zero attrition among its original 10-person founding team.

About this episode

In a revealing conversation at an industry event, 11Labs CEO Mati Staniszewski disclosed that his three-year-old voice AI company has reached $600 million in annual recurring revenue, marking one of the fastest enterprise software growth trajectories on record. The company, which launched its human-sounding text-to-speech model in early 2023, accelerated from $100M ARR in 20 months to $600M today, now employing 600 people. Staniszewski revealed the company operates without any product managers, instead embedding engineers across all departments to drive automation and ensure secure AI adoption. He also disclosed that 11Labs has paid over $22 million to voice actors through its marketplace, where creators can license their voices for AI generation. In financial services applications, the CEO noted that customers are significantly more willing to disclose personal financial difficulties to AI agents than humans due to reduced shame and social embarrassment. The conversation also featured Max, CEO of legal AI platform Legora, who revealed his company has sustained 50% quarter-over-quarter growth for seven straight quarters, recently becoming one of the fastest enterprise companies to scale from $1M to $150M ARR. Max explained that the trillion-dollar legal services industry is 96% manual services and only 4% software, creating massive opportunity for AI disruption. He shared that Legora conducts M&A diligence in-house using its own tools, completing transactions in as little as 12 days from LOI to close. Both executives discussed competition from frontier AI labs, with Staniszewski noting 11Labs continues to outcompete OpenAI and Anthropic on voice-specific models through architectural innovation and specialized data labeling. Max argued that fine-tuning general models is wasteful, favoring narrow models for specific high-volume use cases while leaving general intelligence to the frontier labs.

Key takeaways

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