Multi-modal age estimation in seconds. Give consumers a low-friction option to confirm they meet your age requirements.
99% confidence for users aged over 22 years. For users below 22, set a confidence threshold tolerance reflecting your regulatory requirements. If the confidence threshold is not met, users are given the option to complete a full age verification with Veritage Wallet device-based age validation.
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confidence estimate of age
Veritage AI utilizes a combination of artificial intelligence techniques to estimate user age with high accuracy, minimizing the need for manual verification:
Fast, accurate, easy. Suitable for e-commerce applications.
Employing convolutional neural networks (CNNs), the system analyzes facial features from live video feeds to estimate age. This method has been shown to predict age within a narrow margin of error across diverse populations.
Fast, accurate, requires reading. Suitable for sensitive applications.
Natural language processing (NLP) techniques assess speech patterns, tone, and other vocal characteristics to infer age. This modality adds an additional layer of verification, enhancing overall accuracy.
Fast, accurate, requires dexterity. Suitable for adult content.
Advanced computer vision algorithms analyze hand movements and gestures, providing supplementary data points for age estimation. This innovative approach contributes to a more comprehensive assessment.
By integrating these modalities, Veritage AI achieves a confidence level of 99% in age estimation. If this threshold is not met, users are prompted to verify their age through the Veritage Wallet, ensuring a seamless and secure user experience.
Coming Soon
SDKs will soon be available for Web, Android and iOS.