Privacy-first synthetic data
Singularsity
Synthetic data that keeps the statistical shape of real records without exposing the records themselves.
A Revolunce company.
What it builds
01
Generation for real work
Synthetic datasets for AI and machine learning training, software testing, and analytics. Teams use them where realistic records are required and the original data cannot be shared, including healthcare, financial services, commerce, and manufacturing.
02
Privacy before the data leaves
Masking, tokenization, and differential privacy, with the aim of meeting GDPR and HIPAA obligations. The point of the product is useful data that does not expose the people behind the source records.
03
Checked, then delivered
Generated data is validated for quality, utility, and privacy, then downloaded or streamed into existing pipelines through APIs and SDKs.
Who it is for
Singularsity is for teams that need production-like data for models, tests, or analysis, and cannot put sensitive customer, patient, or financial records into those environments.
The product