Syntonym

Syntonym | Generative AI for Privacy is an AI-driven privacy tool focused on hyper-realistic, real-time anonymization of faces in videos and images. It provides synthetic, anonymous faces to replace or overlay biometric data, enabling secure and compliant privacy protection across mobile, cloud, or on-premise platforms. The solution aims to disrupt how individuals are recorded by cameras, allowing users to be seen on their own terms and lift the privacy barrier while preserving analytical value for downstream tasks such as model training and video analytics. It supports cloud, on-premise, edge, mobile SDKs, and desktop applications, offering flexible deployment to remove sensitive biometric data without compromising data utility.

How Syntonym Works

• Real-time face generation creates unique, synthetic identities to replace or overlay real faces in video streams and images, ensuring privacy without sacrificing data analytics capabilities.
• The system can operate on-device or in the cloud, with lossless anonymization that preserves the structure and utility of the original data for analytical purposes.
• It also supports synthetic overlays for other biometric elements (e.g., license plates) to address privacy concerns while maintaining data integrity for analysis.
• A visible Synthetic Face Indicator ensures that viewers are aware that a synthetic face is being applied, promoting responsible usage and privacy transparency.
• Deployments span Cloud, On-Premise, Edge, Mobile SDK, and desktop environments, with cross-platform compatibility (macOS, Windows, etc.).

Why Use Syntonym

• Enhanced Privacy: Removes sensitive biometric data from images and video while preserving analytical metrics for training and analytics.
• Increased Security: Safeguards identity in video calls and other recordings, enabling privacy where needed most.
• Improved Engagement: Encourages user participation in privacy-conscious environments by reducing identity exposure.
• GDPR-Compliant Analytics: Process recordings for analytics and training in a privacy-regulated, compliant manner.

Safety and Compliance

• Designed to adhere to privacy regulations by removing biometric data while enabling legitimate analytics.
• Includes a visible indicator to communicate when a synthetic face is applied, supporting responsible use and user awareness.

Core Features

• Real-time, hyper-realistic synthetic face generation for privacy protection
• On-device, cloud, and hybrid deployments across Mobile, Edge, Cloud, and Desktop
• Lossless anonymization that preserves data utility for analytics and model training
• Synthetic overlays for additional biometric data (e.g., license plates)
• Cross-platform support (macOS, Windows, iOS, Android, etc.)
• Visible Synthetic Face Indicator for privacy transparency
• GDPR-compliant analytics and training data generation
• Flexible SDKs and integration options to fit existing pipelines