AI-generation and enrichment of datasets with sensitive personal data
Synthetic data
Know your customer
Generation
Identity identification process to confirm financial transactions
The ability to automatically create plausible objects
Security
Computer Vision
Training algorithms to recognize situations that can cause harm
The ability to recognize and analyze images and videos
Benefits of using AI-powered data

Learning by doing
Synthetic data can be used to train and train new employees in various fields, such as medicine, financial services, computer vision. This avoids the use of real data, which may be confidential or restricted
Privacy protection
Artificial Intelligence Research
In some cases, generative data can be used to replace real data and protect privacy. For example, in the medical field, synthetic data can be used for training and model development without disclosing the patient's personal data
Synthetic data can be used for research and development of various algorithms and models of artificial intelligence. This allows you to check the effectiveness and accuracy of models on controlled data
Datasets on demand
Images of ID
A dataset of generated US passports for training a neural network to identify a document, identify the necessary fields, distinguish between images and tests
For each image of the rights, augmentation is carried out on request:
  • adding noise of different granularity
  • blurring of borders
  • tilts and turns
A csv or xml file is attached to each dataset upon request
Driver's licenses
A dataset of driver's licenses of people from different states of North America for face recognition and automation of security systems
For each image of rights, augmentation is performed based on synthetic data on request:
  • adding noise of different granularity
  • blurring of borders
  • tilts and turns
  • glare
  • watermarks
Health insurance
Generated synthetic image data of insurance cards from different countries.
We collect examples of different types of medical documents and provide a dataset enriched with synthetic data for further training of neural networks
A csv or xml file is attached to each dataset upon request
Use cases

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