🧠 Can neural networks be honest — without losing privacy?
AI increasingly makes decisions for us: from analyzing medical images to credit scoring. But how can we ensure that its answer is genuine and not fabricated?
@Lagrange Official created the DeepProve technology, which adds to AI what it has always lacked — evidential transparency. Thanks to zkML, each result is accompanied by a cryptographic proof that:
✔️ the answer was generated by the declared model;
✔️ it followed the rules and structure;
✔️ the data remained confidential.
That is, we can trust AI without revealing its 'inner workings'.
DeepProve is not a theory but an already functioning system. And it makes AI not only a useful but also a reliable partner.
