Automated Identity Verification and Authentication

IDVerse – Universal Identity Verification

Our fully-automated solution verifies new users in seconds with just their face and smartphone—in over 220 countries and territories with any ID document—without the burden of human intervention.

We empower true identity for people around the world. Through our Zero Bias AI™ tested technology, we are pioneering the use of generative AI to train deep neural network systems to protect against discrimination on the basis of race, age and gender. We are the first company to achieve 99.99% accuracy in independent lab testing.

Automated Identity Verification and Authentication Benefits:

Global Coverage

Global coverage with 16,000+ ID documents: Verify every genuine user, anywhere, anytime, no matter their identity document or camera phone.

New Markets

Cover 142 languages & typesets: Expand into new markets with a single supplier and a single integration, while continuing to meet your compliance obligations.

Biometric Verification

Biometric Verification: Verify liveness with just a smile: onboard any user by linking their face to their identity document — with 99.99% reliability and Zero Bias tested.

Automated Identity Verification and Authentication Features:

Deepfake Defender™

Trained on AI-generated fraudsters, Deepfake Defender™ can outpace the shapeshifters, anticipate the aliases, foil the fraudsters—to protect your authentic users, your systems, and your bottom line.

Advanced biometric verification

Like Apple’s live photo, IDVerse captures the moments around the photo being taken and analyzes it for liveness. We use technology including depth perception, miniscule movements from heartbeat, analyzing light refraction from the face and background objects to determine liveness without trading the friction of a video challenge for the lower security selfie.

Contextual data extraction

Most IDV companies use a document template to check a user’s identity document against. We take a different approach. Our context engine uses deep learning to extract data from a user’s identity document and then determines the meaning of that data. This means IDVerse can verify almost every identity document on the planet, even if we’ve never seen it before

Image utilization in extreme scenarios

When a user takes a photo of their identity document, we normalize that image to account for variability with lighting levels and lower quality cameras. We use deep learning to verify each document against a user’s live photo, which means we can verify almost anyone, no matter their age, race or camera phone.

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