VeroID SecurityFounder CEO
Sep. 2025United States, Los AngelesI experienced identity fraud firsthand. I know what it feels like when the systems we trust fail.
That experience drove me into Software QA Engineering and then into building VeroID Security. I became obsessed with a specific question: why are voice authentication systems failing against AI-generated audio, and is there a fundamentally different way to solve it?
The current Voice ID industry is built on audio analysis. They listen to the voice. Generative AI has become so sophisticated that distinguishing real voices from synthetic ones at the audio layer is now an arms race the defenders cannot win.
VeroID takes a different approach: we analyze the device, not the audio.
When a human speaks while holding a phone, the laryngeal vibration propagates through the hand into the chassis. The phone’s accelerometer and gyroscope detect this mechanical signature. We call this metric “Haptic Sync.” A human holding a phone produces measurable bio-mechanical coupling. A speaker playing a cloned voice does not.
This is not a better algorithm competing in the audio domain. It is a different layer of physics that synthetic audio attacks cannot access.
Current Status:
→ Working MVP deployed at veroid.ai
→ Provisional patent filed on hardware-layer liveness detection methodology
→ Seeking: DSP/Signal Processing Co-Founder and early investors
Connect if you: work in signal processing, biometric security, fintech infrastructure, or early-stage deep tech investing.
Physics cannot be spoofed.
