99.99% Reliability.

0% Bias Tested.

IDVerse is the Zero Bias AI™ Tested identity verification platform that recognizes each of your customers in all of their diverse, unique and beautiful humanity—to make your user base bigger, more diverse and human, too.

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Accessibility & Inclusivity

IDVerse sees more of what makes us human, to create an online identity that is reliable, real, and trustworthy. Accessible design means that customers with different needs can participate, too. Full-spectrum skin tone recognition means that you’re not missing the customers who are right in front of you. Because the more you see of your customers, the more they’ll want to see of you.

Zero Bias AI Tested

More accessible for more people in more places

Visual & Audio Accessibility

Dynamically scalable font sizes, voiceover functionality, and high-contrast colors ensure that IDVerse is accessible to the visually impaired, the blind, and the colorblind.

Mobility & Light Sensitivity

We use light refraction analysis from background objects to determine liveness, so no user needs to turn their head side to side, or have lights flashed in their face, to prove that they’re human.

Global Fluency

We’ve translated our onboarding flow into 20+ languages with 46 typesets, too, to provide access to nearly everyone, everywhere in their own tongue.

Smartphone Access

Not everyone has access to a high-quality smartphone or high-speed data connection. We normalize user photos to account for variability with lighting and lower quality cameras.


For photo transmission where mobile data is expensive or slow, we embed our workflow on a browser, instead of as an SDK, so customers can verify themselves even if they are in a 2G zone.

Every User, Every Skin Tone, Every Time

Algorithms don’t always see all faces equally. Studies conducted by the National Institute of Standards and Technology have found that the algorithms have a harder time recognizing people with darker skin.

Most facial recognition systems measure the distances between certain facial features, like the space between the eyes. Skin tone has traditionally not been considered at all. As a result, facial recognition can be less accurate for different ethnicities.

We’ve built our facial recognition technology ourselves, and skin tone is one of the primary factors we consider when matching a selfie with a user’s identity document.

Because you can’t welcome customers your verification platform can’t see.

Universal access

Do business with the world –
on its own terms


Identity Documents Covered


Languages and Typeset


Face Matching Accuracy

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