Generate training and testing data for accurate ML models.

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.

Our vision for synthetic data.

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Solution.

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Benefits

Energy / consumption prediction with what if scenarios

They enable suppliers to forecast electricity demand (e.g., current energy consumption and user profiles

Predictive maintenance

Utility corporations all over the world have to deal with huge recurring costs. Many corporations are now turning to AI to perform tasks like predictive maintenance. However, data collection sources are too far and too few. YData helps to plug the gaps and clean the data, generating more data samples, towards creating better predictive models.

Data sharing

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Price prediction forecasting

Trading prices fluctuate abruptly and forecasting them for Utilities involves many factors, and cannot be done without high-quality data. YData helps clean, balance, and augment the data without changing the gist. Inherent modularisation of the process in YData’s Pipelines allows for code-reusability and procedural streamlining.

Improved fraud detection

According to estimates, theft and fraud of electricity cost the industry as much as $96 billion every year globally! Fraud detection using AI is a very challenging task without enough data. In addition to preprocessing and data synthesis, YData allows you to compare, fine-tune and contrast multiple ML model metrics and results at the same time!

See what Synthetic data can do for your industry...