Facia develops biometric authentication solutions utilizing liveness detection and facial recognition technology to prevent identity fraud and ensure accurate identification. Their systems provide real-time verification against spoofing attacks and enable compliance with age-restricted regulations, making them suitable for various applications in security and access management.
Funding
$2.7M 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
Online identity fraud and digital spoofing attacks are becoming increasingly sophisticated, making it difficult for businesses and governments to verify the authenticity of users and prevent misinformation. Traditional biometric authentication methods often lack the speed and accuracy needed to combat evolving deepfake technologies and presentation attacks.
Solution
Facia provides a suite of biometric authentication and fraud prevention solutions, leveraging facial recognition and liveness detection technologies to ensure secure and accurate user identification. The platform offers real-time verification against a wide range of spoofing attacks, including deepfakes, using both active and passive liveness detection methods. Facia's solutions are designed for seamless integration across various platforms, providing robust RESTful APIs and lightweight SDKs for iOS and Android. By ethically training its algorithms on diverse demographic profiles, Facia aims to deliver unbiased and reliable identity verification for businesses and governments. The technology helps organizations maintain compliance with age-restricted regulations and combat misinformation.
Target Audience
Facia's primary customers include businesses in the banking, financial services, KYC, retail, and iGaming sectors, as well as government agencies, dating apps, and event management companies seeking to enhance security and prevent identity fraud.
Features
- Active and passive liveness detection with sub-second response times
- iBeta Level 2 compliance, ensuring high accuracy and reliability against presentation attacks
- Deepfake detection using AI-generated image identification and cross-platform video analysis
- 1:1 face matching and 1:N face searching capabilities
- Image-to-video and video-to-video face matching
- Age estimation compliant with NIST standards
- On-premise deployment option for enhanced data privacy and control
- GDPR and CCPA compliance
- Compatible SDKs for iOS and Android, with lightweight SDK sizes (~5MB)