Egonym: AI-based anonymization tool for images and videos

Supercharges your ML capabilities and analytics

Makes visual datasets (images and videos) containing personally identifiable information suitable for training ML models and running analytics in a completely ethical manner allowing companies to retain their customers’ and employees’ trust. The high quality renders allow valuable insights to be gleaned from the data without compromising identities making it a much better alternative to pixelation, blurring, and redaction.

data quality

Better than pixelation, blurring, and redaction. ML compatible.

Egonymized images are high-quality with zero visible degradation, which happens with other methods. As a result, Egonymized images have a wide range of uses as they obfuscate identity while preserving expressions as well as the overall image composition.

Regulation Compliance

Data Service Access Requests, Processing, Publications.

Egonym is committed to helping customers protect people's identities, and paving the way for regulation-compliant business opportunities in a data-driven world. By using egonymized images, companies and individuals do not violate data protection regulations, nor the privacy of people in the photos.

Safer Sharing & Storage

Safer sharing and storage by detaching Personally Identifiable Information

Data processed with Egonym can be stored and shared fully anonymized. Even when malicious actors get access, the original identities remain protected. Original images stay absolutely safe and protected and cannot be misused.

Controllability

Control who and what gets anonymized

Users can choose which person or people in the image will be egonymized, as well as which attributes will be changed to what extent. This makes the product suitable for various applications.

Fast processing

Saves valuable time

Egonym processes the images in a matter of seconds, offering the best result in the shortest time among competing solutions on the market.

Remove biases

Reduce biases in datasets

As a secondary feature of the controllable AI anonymization, customers can use the technology to actively reduce biases and create better representation in their dataset.