Trust less.
Verify more.
A fake never looks fake. That is its entire job description. EMET ONE reads what you were sent, pulls on every claim, checks it against sources that don't take sides, and shows you the evidence before the conclusion.
Everything convincing was designed to be.
We don’t ask “is this AI?”. A model can write a flawless contract. So can a lawyer. Neither makes the date real. Evidence does.
The receipt that never happened
Perfect PDF. Real merchant. Impossible tax. The math is the witness nobody called.
↗The signature that travels
Same ink, same angle, three documents, two years apart. Pixels don’t age. People do.
↗The company that exists only in the email
Real website, warm tone, new bank details. The registry has never heard of them.
↗Not a magic score. A chain of evidence you can inspect.
Not a magic score. A chain of evidence you can inspect.
From file to source to contradiction.
Ingest
Read the file, image, PDF, email attachment, receipt, contract, or record. Nothing is “just a screenshot”.
Extract
Pull out every claim, date, entity, amount, signature and reference. A story becomes a list.
Cross check
Each item meets a source that doesn’t take sides: registries, processors, earlier versions, the open web.
Explain
What matches. What conflicts. What can’t be verified yet. Why it matters. In that order.
We don’t ask if it’s AI. We ask if it’s true. A model can write a perfect contract. So can a lawyer. Neither makes the date real. Evidence does. Verification is not a vibe. It is a receipt for the truth. Every claim, sourced. Every conflict, shown. Every “trust me”, declined.
Verification gets stronger when the evidence is connected.
A claim is only as good as the source you can check it against. Nothing connects until you say so.
Questions people ask after it’s too late.
Can a PDF lie?+
Fluently. It can also blush: metadata, fonts, layer history and math all leave fingerprints. We read those instead of the prose.
Is a signature proof?+
It is proof that someone can draw. Proof of identity lives in the registry, the thread, the timeline and the hash. We check those.
What if there’s no evidence?+
Then we say so, loudly. “Unknown” is a verdict. “Probably fine” is a hope.
Do you detect AI?+
We detect wrong. AI is just one of the newer ways to be wrong. A human with a copy of Word has been doing it for decades.
Will it slow us down?+
A fake invoice costs weeks. Reading the evidence costs minutes. Choose your delay.
VERIFY
BEFORE
YOU TRUST.
Start with a file or a claim. We make the evidence clearer, not louder, and we never pretend certainty where there is none.
Open verification workspace ↗