Synthetic data is entirely new data based on real data. While the real data is kept secure and used only for specific necessary purposes, the synthetic data can be utilized for every other possible use case.
New Approach to Securing Data
Kymera’s Unique Advantages
Kymera has developed a new patent based mathematical approach for synthesizing data. Using our synthetic data generator, synthetic data can be optimized and adapted to multiple data verticals, maintaining optimum levels of accuracy and compliance with privacy regulations
Multi tables data
Maintains outliers and Time sequences
Adoptable to any model
No data size limitations
Make the most of your data while complying with privacy regulations
AI & ML training & Data Augmentation
Generate any amount of data while keeping all data features! synthetic data augments and balances your original data, and improves models accuracy.
Secure Data Sharing
Allows Risk-free exploration and data sharing internally or externally by applying the results onto the real data. Enables the data owner to maintain real time data sharing through multiples APIs.
Organization are looking for ways to monetize their data and capitalize on it in order to rapidly develop tailored solutions to their customers. Customers profiling, fraud detection and predictive analytics are depended on solutions likes
Secure Cloud Data
Cloud enabler. Safety harness the power of cloud processing and sharing without any confidentially and privacy concerns.
Secure Test Environments
Kymera’s solution eliminates the risk of data breach, yields significantly better test results, and shorter test cycles compared to other solutions.
I’m pleased to confirm that you achieved a great accuracy with your synthesized data
Head of Data
The ONLY proven solution for generating data while keeping all the deep features of the data
Head of AI
Tier 1 Bank
Models train with Kymera’s data consistently achieved on par or higher accuracy results when compared to models trained on original data set
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To rapidly develop tailored solutions for their customers, organizations are looking for ways to monetize and capitalize on their data. However, securing data throughout these processes has become a key challenge