Digital identity verification is particularly important these days because many transactions take place remotely, and identity theft and cyber-attacks have increased significantly during the global pandemic. PresentID provides a seamless remote user ID verification solution through the combination of technologies developed in-house including ID Card OCR capture + Dynamic Face liveness detection + Voice verification + Eye tracking to ensure the highest levels of accuracy in ID verification and in fraud detection.
Providing proof-of-life remotely is very easy thanks to biometric technology. It helps to enhance user confidence and speed up authentication. It also prevents users from remembering multiple passwords and switching between devices. More and more, governments and organizations all around the world are choosing biometric technology to combat identity fraud to protect access and data, reduce costs and improve overall user experience.
One of the key parts of the online identity verification process is Dynamic Face Liveness detection. PresentID Dynamic Face liveness detection can detect if the person in front of the video is real or fake. It can tell if the user is physically present. It prevents masks, photos, or video deepfakes to fool the system. We use convolutional neural network (CNN) deep learning algorithms to prevent fraud. We use a combination of biometric authentication algorithms such as Face, Voice, Eye , Head detection & tracking to have the highest accuracy to prevent fraud.
To keep the authentication in a top secure level, on the third part we ask the user to read a randomly shown message. Comparing the last voice to the new one, our platform can highly confirm if the person is exactly the right user.
PresentID Dynamic Face Liveness Detection can detect if the person in front of the video is real or fake.
PresentID Photo ID matching(Face Matching) API evaluates whether two faces belong to the same person or not.
PresentID Selfie matching compares the selfie image with the liveness and tells whether or not they belong to the same person.
PresentID Profile pic matching compares the profile image with the liveness and tells whether or not they belong to the same person.
PresentID MRZ Scanner API localizes and recognizes Machine Readable Zone / Travel Documents (MRZ / MRTD) from a single input image.
Establishing trusted identities is about registering the identity and verifying its authenticity. We provide the workflow process for the registration of the identity and for the registration of the applicant's biometric verifiers.
Selected as a top female founder by 50intech in TechCrunch 2019.
Featured in Panorama of French fintech startups by Blackfin and France fintech.
Selected as a finalist in “Best Use of AI in fintech” in IFTA2020.
Nvidia published their Female-led AI startups in the EMEA region and We are proud to be part of the Nvidia ecosystem in the cybersecurity field.