One account per person, whatever the email.
Duplicate check at signup
Your existing accounts never got a face check. Run one now, no ID, and the ones sharing a face come back named.
None of these three accounts failed a check at signup. There wasn't one yet.
A panelist or annotator who joined before you had a check is still active, and nothing in your records says they're also someone else.
A vetted account gets sold or rented out, and the work keeps coming in under a name that isn't doing it anymore.
One person collects under two accounts because nothing ties either one to the other until someone compares them by hand.
01
Device and network signals score each account as it comes back: VPN, data center and Tor traffic, and IPs already on an abuse list, without asking anyone anything.
02
For the accounts the signals flag, or a list you choose, an emailed invite asks for a 3 second selfie with no ID. Whoever verified first keeps that face, and a later account with it comes back named as a match.
03
Each flag names the account it matches, often enough to act on without opening anything, and the export lines up with your own account IDs.
Start with a free pilot: see what the check catches on your own users, with no dev work to begin.
With tools like VerifyYou, AI becomes a force for good. It helps prevent AI-driven fraud and can be done with much lower friction than what we built over the years.
Built by humans from
We keep a face code, not the photo, and hold it under SOC 2 Type II and ISO 27001:2022 compliant controls.
No images stored. VerifyYou does not store images.
No ID or documents. HumanCheck anonymously confirms there is a real, live, unique person, with no name or ID.
A face code, not a photo. We treat it as sensitive biometric data.
Not if you set it to Allow and flag, which is what an audit wants. Everyone passes, the duplicates are recorded, and you decide in your own system rather than at the door.
Without code, the invite goes to the email on each account, so the face ties to that account. With code, pass your own user ID and duplicates are reported against it.
On the clock you already work to. If payouts go out on a Tuesday, an audit that lands on Wednesday cost you the week. Email invites are in beta with a daily sending cap, so send a first batch early.
Treat it as a reason to follow up rather than a pass. An audit only measures the people who take the check, so an account that never responds stays unverified in your own system, same as before the audit ran.
Yes, over time. If two different people take turns behind one login, each selfie ties to a different face, and the mismatch shows up the next time you run the check.
No. We keep a face code, not your users' images.
It's two API calls: one to start the check and one to read the result.
No. It sits on top of your stack, so you keep your KYC and bot tools.
It's 50 to 100 times cheaper than KYC. You pay per check, and nobody uploads an ID document.

Blog
Sybil Attacks in AI Data Labeling: How Platforms Prevent Them in 2026
How one person running many annotator accounts distorts training data, how the major labeling platforms defend against it today, and how the tools built to stop it compare.
Read the post
Blog
The People Training Your AI Might Be the Same Person
Inside the shadow market where verified accounts sell for $300 and one annotator becomes forty
Read the post
Case study
AI data labeling
$150,000 in fraud loss, stopped within 3 weeks of starting.
Read how it was caughtVerifyYou scales trust: passive signals on every session, a face check only when risk calls for it.


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