Egonym: Synthetic Data for AI/ML

Data Privacy Regulations Are Getting Stricter

Data marketplaces grapple with the challenge of maximizing the utility of datasets while ensuring compliance with privacy laws and protecting PII. Traditional anonymization methods often degrade data quality or leave traces of PII.

Attributes shown	Blurring	Redaction	Egonymization
	Industry standard	Industry standard
Identify			Identity obscured
Ethnicity
Age
Expression
Gaze
Accessories

EGONYM UNLOCKS VISUAL DATASETS WITH PII

Egonym leverages Generative AI to remove facial identities from images and videos and replaces them with a synthetically generated random identity.

Egonymization

AI-based anonymization that replaces original identity with an artificial randomized identity

Photorealistic Quality

Egonym’s anonymization solution retains the quality of the original image

Zero Data-loss

Egonym’s technology accurately targets the face alone, ensuring that the other parts of the image are undisturbed. This way the context is retained to ensure maximum data preservation while focusing only on facial identity anonymization.

Sentiment

Age

Gender

Ethnicity

Gaze

Accessories

Attribute retention

Ensures that key attributes such as sentiment, age, gender, gaze, accessories and ethnicity needed for downstream applications are retained. Our solution unlocks privacy-compliant sentiment analysis and demographic profiling.

0s 10s

Fast Renders

Each frame is processed in under 0.14 seconds. Our R&D team is dedicated to increasing the processing efficiency even further which leads to faster applications for our customers. Egonym is the leader amongst its peers in quality-to-efficiency ratio.

Your asset

Egonymization process

Choose from many versions

Minimize Privacy Risk

Choose from multiple new identities that suits your needs the most. A new random irreversible identity is generated every time the same person’s face is run through our application, thus reducing the risk of the target person being identified.

Detailed Use Case Scenarios

Suitable For Every Need

Creating High-Quality Synthetic Datasets

Generate datasets with non-identifiable faces while mirroring real-world complexity. The use of egonymized datasets yields higher quality AI training as compared to the use of artificially-generated or blurred datasets - all without compromising on regulations.
Removing Barriers On Private Datasets

Many companies hold private datasets which are blocked by regulations from being used for various applications. Egonym’s API embedded into data marketplaces can be leveraged to scrub identities from private datasets, thus unlocking immense business value.
Expanding Data Marketplace Offerings

Egonym’s tech generates a new randomized synthetic identity every time the same face is processed. This allows data marketplaces to generate multiple new datasets from existing sources, thus widening the offerings available to their customers.

PII Removal from visual datasets

Data marketplaces grapple with the challenge of maximizing the utility of datasets while ensuring compliance with privacy laws and protecting PII. Traditional anonymization methods often degrade data quality or leave traces of PII.

Egonym leverages Generative AI to remove facial identities from images and videos and replaces them with a synthetically generated random identity.

Photorealistic Quality

Suitable For Every Need

Creating High-Quality Synthetic Datasets

Removing Barriers On Private Datasets

Expanding Data Marketplace Offerings

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