Anonybit provides a privacy-preserving identity platform that secures the entire user journey from onboarding to passwordless login and account recovery. This platform utilizes patented, decentralized biometric storage to reduce fraud, enhance compliance, and improve user experience across digital, contact center, and physical channels. By offering a single, modular service layer, the company lowers the total cost of ownership associated with managing disparate identity point solutions.
Funding
$6.5M 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.
JFFounders
Product
Problem
Centralized biometric databases are vulnerable to data breaches, creating significant security and privacy risks for individuals and organizations. Traditional device-based biometric solutions also present challenges in terms of data protection and seamless user experience across multiple channels.
Solution
Anonybit offers a decentralized framework for biometric data storage and identity management, mitigating the risks associated with centralized systems. The platform employs a patent-pending approach that fragments and distributes biometric data across a network, ensuring that no complete biometric templates are stored in a single location. This architecture enhances security, reduces the potential for fraud, and lowers operational costs while maintaining a consistent user experience across digital, chat, contact center, and physical service channels. By eliminating central honeypots of sensitive data, Anonybit enables enterprises to leverage biometrics for secure authentication and identity verification throughout the entire user journey.
Target Audience
Anonybit targets enterprises across various sectors, including financial services, healthcare, retail, and telecommunications, seeking to enhance their security posture, reduce fraud, and improve user experience.
Features
- Decentralized biometric data storage, eliminating single points of failure
- Fragmented data architecture for enhanced security and privacy
- Support for various biometric modalities, including facial recognition and fingerprint scanning
- Device binding to link attributes or credentials to stored biometric profiles
- Account recovery leveraging stored biometrics for instant identity verification
- Authentication via decentralized cloud without disrupting user experience
- Integration with existing identity management systems
- Tools to prevent synthetic or duplicate identities during onboarding