We don't make
photos.
We make proof.
In the AI era, a believable photo no longer proves a real object exists. ProofShot is the trust layer for secondhand trade — we don't detect fakes, we make the moment of capture impossible to fake.
Generative AI can fake a flawless product photo, a handwritten note, even a shipping label. The picture is no longer evidence.
When buyers judge an item from a single image in seconds, AI-synthesized listings, stolen photos and re-shot screens are nearly impossible to tell apart. The question has shifted — from "does this look real?" to "when, where and how was this actually captured?"
We move authentication from the person to the object — and from detecting the result to proving the process.
Guess if the photo is fake
Platforms race to classify suspicious posts, chats and images. But detection is a probability game that AI keeps winning — and it can never promise "this object exists, right now."
Prove the capture happened
Instead of judging the output, we make evidence that can only exist when a real person photographs a real object, live, on random demand — leaving a record no pre-made image can satisfy.
The seller shoots. The buyer checks a link.
No new app, no new platform.
In-app live capture
Only photos taken inside the app count. Gallery uploads are blocked, so stolen and re-used images can't enter.
Capture record stored
Server-based timestamp, device signals and a unique hash of the original file are sealed at the moment of capture.
Verification link generated
A public page anyone can open — no install required — showing the proof behind the listing.
Badge on the listing
A copy-paste "Real-item verified" badge and link drop into any channel: Danggeun, Bunjang, Joonggonara, open chats, Instagram.
Buyer confirms before paying
One tap shows capture time, originality and verification status — turning doubt into a decision.
We don't claim to catch every AI image. We raise the cost of forgery until it isn't worth it.
Live capture session
Past and downloaded images can't be passed off as a fresh shot.
Gallery upload blocked
Removes stolen photos and recycled old shots at the source.
Server timestamp
Proves exactly when the item was authenticated — not on the device clock.
Original file hash
Any edit after capture becomes detectable. The proof is tamper-evident.
Multi-angle & random mission
Live, unpredictable prompts that pre-rendered AI images can't satisfy.
Privacy by design
We don't keep your photos — only the proof. The original is discarded; just the seal is stored.
Not a marketplace. Infrastructure. We start narrow — where fraud anxiety and willingness to pay are highest.
Like Stripe for payments and DocuSign for signatures, ProofShot embeds into the flows people already use. Like StockX and KREAM, an authenticated listing simply sells faster, and for more.
₩500 isn't the final price.
It's how we prove willingness to pay.
- First authentication free
- ₩1,000+ for high-value items
- Validates real payment intent
- Unlimited monthly authentications
- Verified badge on every listing
- Stable, recurring revenue
- Bulk authentication via API / SDK
- Cuts fraud & CS cost
- Infrastructure-scale revenue
Create a proof in seconds. Your photo never leaves the device.
Shoot inside the app and the capture time, device and original SHA-256 hash are sealed — generating a verification link you can drop into any listing. No upload, no account, on-device only.
Real high-value deals, really verified.
A selection of actual items from completed transactions — each authenticated through ProofShot before the deal closed.
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Items shown are from real, completed peer-to-peer transactions verified with ProofShot.
A team making trust easier to prove in online trade.
Starting with ProofShot, Valuation Technology is building trust infrastructure for any transaction that relies on photo-based proof.
Hoyoon Jung
Business strategy · market validation · service design
- Finance & Economics, Mokwon University
- Award winner at a national investment competition
- Planned & designed Gomhanjan, a cozy-café discovery app
Combining financial thinking with service design to solve the trust problem in secondhand trade through technology.
Eunghyun Kang
Finance · market analysis · operations design
Hyunjung Ahn
Design · customer interviews · content marketing
Photos can be faked.
Proof cannot.