Digital notary stamp for AI consensus reports
Model Pile analyzes a contract, finds a risky clause, and suggests a fix. The medical company reads the report, trusts it, and acts on it. But later, a regulator asks: "How do we know that report is exactly what the AI produced? How do we know someone didn't quietly change the recommendation after the fact—or that the AI actually said that?" Right now, the answer is: "You just have to trust us."
When Model Pile finishes its analysis, it instantly creates a cryptographic fingerprint of the entire debate report, consensus conclusion, confidence score, and every model's argument. That fingerprint is immediately recorded on a public blockchain (like Ethereum) where it can never, ever be altered or erased—by anyone, including you.
Now when the regulator asks that same question, the medical company can say:
In plain terms: It's a digital notary stamp for AI decisions.
Just like a notary public witnesses your signature on a legal document and stamps it to prove you signed it on that date, this verification layer witnesses the AI's decision and stamps it with cryptographic proof that the decision existed at that moment and hasn't been tampered with.
| What It DOES | What It DOES NOT Do |
|---|---|
| Proves the report hasn't been changed since creation | Does not guarantee the AI was correct |
| Proves the report existed at a specific point in time | Does not validate the AI's reasoning or facts |
| Allows anyone, anywhere to independently verify authenticity | Does not require the regulator to trust Model Pile |
| Creates an unbreakable audit trail from AI to action | Does not prevent the AI from making mistakes |
Imagine you take a photo of a contract clause, mail it to yourself in a sealed envelope, and have the post office stamp it with the date. Later, you can open the envelope and prove: "This photo existed on this date and hasn't been opened since." But the photo itself could still be blurry, poorly lit, or misinterpreted. The stamp doesn't guarantee the photo is good—it guarantees the photo is authentic.
That's exactly what this verification layer does for Model Pile's consensus reports.
A pharmaceutical company reviewing a clinical trial protocol or a hospital system auditing a vendor contract faces real regulatory risk. Regulators like the FDA, EMA, or HIPAA auditors increasingly ask:
"Show us your decision-making process. Who approved this? When? What data supported it? Can you prove nothing was altered after approval?"
Without cryptographic verification, the answer is a folder of emails, PDFs, and internal logs—all of which can be questioned, disputed, or alleged to have been backdated or altered.
With this verification layer, the answer is:
That is the difference between "trust us" and "prove it." In regulated industries, "prove it" is worth millions.