Gryfo offers a mobile and offline facial recognition platform that utilizes deep learning and biometric liveness detection to ensure secure user identification and authentication. This technology addresses the need for reliable access control and attendance tracking in various industries, enhancing operational efficiency and reducing fraud risks.
Funding
$210K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations face challenges in ensuring secure and reliable user identification for access control, attendance tracking, and fraud prevention, especially in scenarios requiring mobile or offline functionality. Traditional methods often lack the accuracy and convenience needed for seamless integration into existing systems.
Solution
Gryfo offers a facial recognition platform that leverages deep learning and biometric liveness detection to provide secure and accurate user authentication, even in mobile and offline environments. The platform's SDK and API enable businesses to integrate facial biometrics into their applications for various use cases, including access control, time and attendance, and online payments. By transforming facial images into anonymized and encrypted biometric data, Gryfo ensures user privacy while delivering high-performance recognition. The platform's liveness detection capabilities prevent fraud by verifying that a real person is present during authentication.
Target Audience
Gryfo's primary customers are businesses across various industries, including finance, human resources, and education, that require secure and efficient user identification and authentication solutions.
Features
- Mobile and offline facial recognition capabilities for secure authentication in any environment
- Biometric liveness detection to prevent fraud and ensure user presence
- Deep learning algorithms for accurate and reliable facial recognition
- Face match functionality for verifying the identity of a user against a document photo
- API and SDK for easy integration into existing applications and systems
- High scalability to support a large number of users and transactions
- Anonymized and encrypted biometric data to protect user privacy
- Support for both 1:1 and 1:N facial recognition scenarios