ElevenLabs, a rapidly growing AI voice technology company, converts text into natural-sounding speech widely used in customer service and creative industries like audiobooks and music. Despite being just four years old, ElevenLabs reports an annual recurring revenue of $600 million and a valuation of $22 billion. Its clients include major organizations like Klarna, Deutsche Telekom, and Adobe, who deploy its AI-powered voices to interact with millions of users worldwide. However, competition is intensifying, with companies such as Decagon using ElevenLabs’ models to build competing conversational AI products.

The CEO and co-founder Mati Staniszewski shared insights at the Nrth conference in Toronto about the company's approach to margins, IPO plans, and customer transparency. Currently, over half of ElevenLabs’ revenue comes from enterprise customers, while the rest is from SMBs, developers, and creators. Staniszewski expects audio model quality to continue advancing over the next three to five years, aiming to achieve a conversational AI that passes the Turing test by understanding and reacting to human emotions dynamically. He emphasizes a willingness to sacrifice profit margins to gain greater market share and continuously prove value to customers.

Staniszewski also addressed ethical concerns, stating businesses should disclose when customers are speaking to AI agents rather than humans, at least until such interactions become the norm. ElevenLabs customizes AI voice deployments per customer requirements, including government contracts where data residency and security are crucial, such as Poland's healthcare system. The company rigorously annotates training data with human contractors and voice coaches to ensure accent accuracy and emotional nuance. While margins are kept confidential, ElevenLabs invests heavily in fine-tuning its models and sharing cost savings with clients.

Looking ahead, ElevenLabs plans an IPO around 2028, though the timeline depends on market conditions. Staniszewski recognizes the broader AI community’s responsibility to manage the pace of innovation safely and transparently. He highlighted that ElevenLabs is not developing autonomous AI agents capable of self-replication, which lowers certain cybersecurity risks. With a foundation focused on longevity and trust, ElevenLabs aims to remain a leader in AI voice technology while navigating competitive and ethical challenges in this fast-evolving field.