work with companies interested in incorporating AI technology and advanced data analysis into their best practices


Biomedical institutions, the medical sciences as a whole, and even the general public can benefit significantly from the analysis of large sets of patient data. For example, they could be used for more accurate diagnostics and targeted treatment procedures. However such data is extremely sensitive and its collection and distribution is impossible without going through long procedures, such as approval from an ethical committee. Thus, the scientific community, the biomedical industry and even the greater community can benefit from the improved, secure data distribution that provides.

Banking, financial services, and insurance (BFSI)

Financial institutions manage large databases of customer information. The competitive nature of the global financial sector compels BFSI to become data driven. Data science and analytics are revolutionizing the industry, however, such methods shall only be employed if customer privacy can be guaranteed. can create highly representative synthetic data from sensitive information, keeping the analysis process privacy-compliant.