@0xDevaroo correct, and what we took from this is that the technical moat means nothing if the compliance layer collapses underneath it. you can't separate the two and expect it to hold.
@WiseAmar that's the only way it works. you can't retrofit consent into a biometric pipeline. it either lives in the architecture from day one or you're one audit away from a yoti situation.
Micro Update:
The model had a clean week.
We put it up against OpenAI, ElevenLabs, Azure, Voxtral and Deepgram, and not one miss across all five providers.
Now adding more providers and we want you to decide what's next.
Let us know which of the existing providers you most worried about.
@Richard79139714 We tested our voice detection model across 5 Ai voice provider and it detected all 5 of them with 99.12 - 99.99% rating withing 0.3 seconds.
In testnet now so everyone can try it out for free.
@Rep_Whitesides Any technology won't do/fix it, a decentralized detection model will, this is because the model continously learn reason is "Ai voice cloning scams are getting more sophisticated".
Our model is free and open to everyone with a voice.
@HankVenture5 We built a 0.3 seconds detection layer as solutions for synthetic and clone voices.
Open to everyone with a voice, feedbacks are welcomed.
Honestly, the last two weeks went better than we expected.
The community came in, pushed the model hard, found the edges and kept coming back. You all earned it.
Next week we will announce the presale date.
Stay close.