Refunds, deliveries and claims get settled on a photo, and a photo no
longer proves anything. .prfd seals a photo the moment
it's taken, anyone can verify it, and you can trust what it
shows.
Businesses approve refunds, close out deliveries and pay claims on photos every day. A photo on its own can't show when or where it was taken, or whether anyone changed it, and generative AI made a convincing fake free. So teams either take it on faith, or slow every honest customer down with manual review.
Spotting fakes after the fact doesn't fix it. A detector gives you a probability, it falls behind with every new image model, and "probably fake" doesn't hold up in a dispute.
The value shows up in your own numbers: claims approved without a review queue, claims held on photos that don't hold up, and disputes closed with evidence instead of argument.
A sealed photo is real, fresh and unchanged, so you can approve the claim right away. No review queue, and no extra step for the customer.
Old, edited and generated photos can't be sealed as new. Uploads that look wrong get asked for a live photo before anything is approved.
The sealed file travels with the claim. A card network, an insurer or the customer can check it themselves and reach the same answer.
It fits into the flow you already have, wherever the photo comes from.
The customer or driver takes the photo live, on their own phone. An old photo from the camera roll can't be passed off as new.
prfd makes sure the photo is real, untouched, new, and shows the right item.
The photo is sealed together with when and where it was taken. From then on, any change shows.
Anyone can check the photo themselves, for free. Your customer, an insurer or a court gets the same answer, even years later.
Other vendors keep their fraud score in a database, where anyone can change it later. Ours is sealed in with the photo. Try to break it.
The photo, its details and our result are sealed together. Changing any of them breaks the seal, so a tampered photo proves nothing. No edit helps the attacker.
Our result travels inside the seal, not in a database someone can edit. Flip "fraud" to "clean" and the seal breaks.
Change a single pixel and the seal no longer matches, so any edit is obvious.
Each sealed photo carries its own proof. Anyone can check it and get a clear yes or no.
Fraud platforms score the person: purchase history, device reputation, IP risk. AI detectors guess at the picture after the fact. We settle the photograph itself, which is what the decision actually rests on.
.prfd is our own format for sealed photos, the way PDF became the standard for documents. Anyone can open and check one. We define what it means.
Anyone can check a sealed photo at no cost. Every check spreads the standard, and the more sealed photos exist, the more they're worth.
The photo is proven new when it's taken, not judged afterwards.
We only ask for a live photo when an upload looks wrong. Everyone else never sees it.
Capture, checks and proof come together, instead of from several vendors stitched together.
If you approve a refund, close a delivery or pay a claim because of a photo, prfd sits in front of that decision.
Two common scenarios, built from industry-typical rates. Drag the sliders to your own volume.
Illustrative estimates, not a specific customer's results. Swap in your own numbers below.
A share of return photos are staged or AI-generated damage claims. Industry estimates for fraudulent returns typically run 5â10% of volume.
Every one of those claims arrives with a photo. prfd seals it at capture, so a recycled or generated image gets caught before the refund is authorized.
A share of delivery disputes are a photo that doesn't actually show the drop. Claim rates vary widely by category and carrier.
Each of those drops has a proof-of-delivery photo. prfd seals it at the doorstep, so a recycled or spoofed image doesn't quietly become an approved claim.
Why photos stopped being proof, and what it takes to make them proof again for the businesses that rely on them.
Generative AI broke the assumption that a photograph proves anything. Something has to replace it.
Read the article âReturn fraud used to be a rounding error. AI-generated damage photos turned it into a margin problem.
Read the article âThe proof of delivery photo is the handshake that closes the transaction, and it is the least defended artifact in the supply chain.
Read the article âWhen one retailer closes its return portal to fake photos, the fraud does not disappear. It moves to whichever competitor left the door open.
Read the article âA tour of the four layers a photo passes through between upload and seal, and why none of them is a person looking at the picture.
Read the article âWe're working with our first customers now. Tell us where photos matter in your business, and we'll show you what prfd would change.