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Syntonym

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Privacy-first anonymization for machine vision

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Syntonym is a privacy-first anonymization platform designed for machine vision. It provides real-time, lossless anonymization technology that removes personal identifiers from faces and license plates while preserving data utility for AI model training and deployment. The platform offers two main products: Syntonym Lossless, which uses generative AI to replace real faces and license plates with hyper-realistic synthetic versions while preserving critical attributes such as gaze, head pose, facial expressions, age group, and gender; and Syntonym Blur, which delivers automatic, high-precision blurring for faces, license plates, and other sensitive data. Syntonym can be deployed via Cloud API, Private Cloud/On-Premise, or Edge SDK, supporting cloud, on-premise, and edge environments. The platform is designed to help organizations comply with global data and AI regulations (GDPR, CCPA, PIPL, APPI, PDPL), gain user trust, and scale AI responsibly.

Key Features

  • Lossless anonymization preserving critical attributes
  • High-precision blurring for simple obfuscation
  • Real-time processing capability
  • Multiple deployment options: Cloud API, Private Cloud, Edge SDK
  • Scalable and automated

Use Cases

  • Automotive & Mobility: Enhance in-cabin monitoring and ADAS training with GDPR-compliant data.
  • Robotics & Physical AI: Train perception models with real-world human interaction data.
  • Smart Devices: Fuel embodied AI agents with diverse, privacy-first visual data.
  • Vision Language Models: Enrich large language models with visual understanding.

Who It’s For

Organizations using camera-based technologies that need to protect personal data while maintaining machine vision performance.

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