My Voice Ai

What is My Voice AI?

My Voice AI is a voice intelligence company focused on speaker verification. Its main product, NanoVoiceTM, uses tinyML technology to verify speakers in real time on ultra-low power devices, making it suitable for edge AI deployments.

The technology includes anti-spoofing measures to keep speaker identification reliable, and it can verify digits regardless of the language spoken. It can also detect emotions such as stress, happiness, and anger, and estimate a speaker’s gender and age from voice analysis alone. The company’s goal is secure, private authentication built on its patented technology, using deep neural networks and machine learning to run compact, power-efficient models for both training and inference.

Who created My Voice AI?

My Voice AI Ltd was founded by Dr. David Horowitz, Ivar Line, and Nikola Andelic.

• Dr. David Horowitz (Chief Science Officer) researched voice biometrics at MIT and works on turning research into practical technology.
• Ivar Line (CEO) is a Norwegian entrepreneur who has founded over 10 software and tech companies, with strengths in sales, strategy, and fundraising.
• Nikola Andelic (COO) is a former athlete and hacker with experience in tech startups, funding, strategy, and development.

The broader team includes Kumi Thiruchelvam (Chief Commercial Officer, 15+ years of global tech leadership), Jonathan Vickers (CFO, background in financial services, M&A, and corporate governance), Craig Vallis (Chief Product Officer, web and software development), and Dr. Moez Ajili (Senior Speech Scientist).

What is My Voice AI used for?

• Real-time speaker verification on low-power edge devices
• Anti-spoofing protection for reliable speaker identification
• Language-independent digit verification
• Emotion detection (stress, happiness, anger) from voice analysis
• Gender and age estimation based on vocal characteristics
• Secure, privacy-focused voice authentication powered by machine learning

My Voice AI positions itself as a complete voice intelligence platform, offering some of the smallest and most power-efficient engines available for training and running AI models at the edge.