About us

The voice platform for the world

We believe speech is the most natural way people communicate. But most voice technology still works well only in a few languages, in a few markets, and under ideal conditions. That is not good enough for a world that speaks many languages, switches between them naturally, and increasingly expects software to understand voice in real time.

Soniox was founded to change that.

We build foundational voice AI that helps developers, businesses, and individuals understand and use speech across languages, accents, and environments. Today, Soniox provides speech-to-text, text-to-speech, and translation in one unified platform, built for real-time products and global deployment.

Our technology is designed for the hardest parts of voice AI: multilingual speech, mixed-language conversations, names, numbers, noisy audio, and low-latency interaction. With support for 60+ languages through one platform, Soniox makes it possible to build voice products that truly work worldwide.

Our mission is to help the world understand every conversation.

Founding team

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Klemen Simonic

Founder, CEO

Klemen Simonic has been building AI systems at the frontier of speech, language, and large-scale intelligence since 2008. An engineer and AI researcher, his work spans Stanford University, Google, and Meta, where he helped turn ambitious research into technology used at global scale. He founded Soniox to push the boundaries of what machines can understand from human speech, and to make that intelligence work for every language, everywhere.

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Ambroz Bizjak

Co-founder, Chief Architect

Ambroz Bizjak is a computer scientist, researcher, and systems architect with an exceptional ability to solve some of the hardest problems in AI and large-scale systems. As co-founder and Chief Architect of Soniox, he has shaped many of the foundational ideas and technologies behind the company’s AI systems. His work combines deep mathematical thinking, original research, and uncompromising engineering to turn ideas that seem impossible into systems that work at scale.

Help us build
the next generation of AI