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Reusable proof of human

One check in March.Still remembered at your October login.

The signal picture for a workspace grows with every visit, quietly. The one time someone takes a 3 second, anonymous selfie, because signals flagged risk or they chose to, gets recognized at every later check there.

The problem

One verification, reused

  • Sign-upLoginPayoutSame person

    Three checks, one person

    Sign-up, login and payout each ask for a selfie, and every extra ask is another chance for someone to give up.

  • Login on a new phone
    DeviceNew
    Past checksNone here
    Starts from zero

    A new phone looks like a stranger

    Someone switches phones and your login treats them as new, so they start the whole check again.

  • Returning, trusted
    Returning, blocked
    Fast passStill caught

    Lighter checks let bans back in

    Make repeat checks easier and someone you blocked can walk back in with a new email or phone.

How it works

Verify once, then recognize

  1. 01

    Passive signals run at every return visit

    Device and network signals run in the background at every login and return visit, and add to the person's history.

  2. 02

    A new device takes an anonymous check

    An anonymous HumanCheck, a 3 second selfie, confirms it's still the same person on a new phone or when something looks different, matched against the face from the first check.

  3. 03

    Recognized everywhere else in your workspace

    Once verified, the same person is recognized at login, at payout and anywhere else you check, inside your own workspace. A credential that carries between companies is on our roadmap.

Return visit
IPIP addressUsual
DVDeviceKnown
TYTypingSteady
Welcome back, Sam
FRFace recognized
CheckNo check needed
Oct 12, 09:41Signed in

Let's talk trust

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.
Wes MichaelFounder of Rare Patient Voice

Built by humans from

  • Quora
  • Pinterest
  • Square
  • Reddit
  • Gusto
  • Cohere Health
  • Google
  • Accenture
Security

Privacy and security in every decision

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.

  • AICPA SOC 2SOC 2 Type II
  • Intercert ISO/IEC 27001 certificationISO 27001:2022
  • iBetaISO/IEC 30107-3 PAD Level 1 & 2
  • GDPRGDPR compliant

Common questions

Can a person reuse their proof on another platform?

Not as a portable credential yet. Today recognition works across your own checks, and the anonymous cross-network signal travels with a flagged person. A portable proof is on our roadmap.

Do people take a selfie every time?

No. Inside your skip window a returning person passes almost instantly, and someone with a linked phone or email is recognized on new devices too.

How is this different from reusable KYC?

Reusable KYC carries a verified document between companies. HumanCheck anonymously recognizes a live, unique person at every check on your own platform, with no ID and no name.

What if someone was flagged on a different platform before they reach you?

If a person has been flagged elsewhere in our network, you get an anonymous signal. We never say which platform.

Do you store photos of our users?

No. We keep a face code, not your users' images.

How much work is it to add?

It's two API calls: one to start the check and one to read the result.

Do we have to replace our KYC or bot tools?

No. It sits on top of your stack, so you keep your KYC and bot tools.

What does it cost?

It's 50 to 100 times cheaper than KYC. You pay per check, and nobody uploads an ID document.

Ready to get started?

VerifyYou scales trust: passive signals on every session, a face check only when risk calls for it.

The VerifyYou dashboard on a laptop, showing verification volume and threat signalsAn anonymous HumanCheck running on a phone

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