Unlock smart meter load profiles
Accurate risk assessment and fraud detection
Improve clinical trials and protect patient data
Increase production stability & performance
Train, test and improve ML models
Collaborate between teams and organisations
Synthetic Data enables data driven innovation in many different ways
Real data does not contain enough data or all possible conditions and events needed to train ML models. BlueGen.ai generates training data that meets every condition and event variation, making ML models much more accurate.
Organizations lose collaboration opportunities and innovation power because data security and privacy regulations prevent them from exchanging data with other organizations and departments. BlueGen.ai solves this security and privacy problem by generating anonymized data so organizations like government agencies can exchange valuable data and collaborate successfully.
Synthetic data covers all conditions, events, and edge values, enabling bridging seasonal and statistical gaps in datasets and proper boundary value testing. For performance testing it provides all the data you need, even when this is limited in the production data
Provide synthetic data to third parties to demonstrate their products' suitability.
Organizations can deploy external analytics staff by giving third parties access to synthetic datasets.
Security and compliance risks often limit the adoption of cloud services. By moving the synthetic counterparts of some datasets to the cloud, organizations can take advantage of the wide array of services previously not allowed.
Because of the power and possibilities of synthetic data, it is quite possible that a market will arise for commercial synthetic data generation.
Data that may only be stored for a limited period can be permanently preserved by creating a synthetic snapshot.
Synthetic data can reveal statistical patterns and trends that would otherwise go unnoticed because synthetic data covers all possible conditions and events. And synthetic data helps test all relevant scenarios when evaluating trial products.
Use synthetic data to easily and convincingly demonstrate all product features and benefits to prospects and customers.