Protect every identity in public
We provide image & video anonymization software based on state-of-the-art deep learning technology. Our solutions, Precision Blur and Deep Natural Anonymization, redact faces and license plates and help companies comply with data protection regulations such as the GDPR, CCPA, APPI and PIPL.
We enable companies in various industries to use publicly-recorded camera data for analytics and AI. With our solutions, companies can mitigate their liability and the risks of being fined, increase the capacity of their teams, improve their time to market, and push innovation.
Face Anonymization
With increasing capabilities of facial recognition technology, public video data collection comes with great risks. brighter AI’s Precision Blur is the most accurate face redaction solution in the world. Deep Natural Anonymization (DNAT) is a unique privacy solution based on generative AI. It creates non-reversible synthetic face overlays to protect individuals from recognition, while preserving data quality and accuracy for analytics and machine learning.
License Plate Anonymization
With Precision Blur, brighter AI offers advanced video redaction for license plates worldwide. Deep Natural Anonymization is image and video anonymization software that replaces license plates with replicas. Therefore, it has no negative impact on neural networks and can be used for autonomous driving.
The only certified value preserving video redaction software enabling GDPR compliance
Benefits
Avoid non-compliance fines &
damaging your reputation
Increase time to market
Decrease legal &
operational costs
Monetize your data &
push innovation
Enable analytics & AI
Empower data exchange &
accelerate data collection
Trusted by leading enterprises around the world
Industries
Automotive
Development of AD/ADAS functionalities
Healthcare
AI-based medical devices training & R&D
Public Sector
Safety, security & better CX
Research
Data collection & cross-border data sharing
Award-winning technology
Compatibility with machine learning
“brighter AI’s solution was easily integrated and the natural anonymization was what we needed for improvement of lane and sign detection validation strategy.”
Václav Schybal, System Validation Platform Manager, Valeo
Training with the Original Data vs. Deep Natural Anonymization Technology (DNAT); Cityscapes Validation Dataset