Ascend
A Data DNA Approach
This approach generates a small signature file that preserves the original statistical features of the dataset, enabling secure handling of sensitive data while maintaining its utility.
It ensures privacy, compliance, and reduces storage and transfer costs. Additionally, it enhances data quality through advanced curation features.
Data Security
Helps provide privacy and reduces storage and data transfer costs. De-Id and Scaling: De-Id all sensitive and confidential information from a dataset so it can easily be transferred without any privacy issues.
- De-identify sensitive data
- Safe data transfer
- No Privacy Risk
Why Ascend
- Data Privacy and Security
- Big Data analytics, profiling and curation
- Preserve Original Data Insights
- Orders of magnitude smaller than actual data size
- Fully obfuscated file, original data cannot be recreated
Core features that make it valuable
Data DNA
Creates synthetic data that preverses the statistical properties of the original data without exposure and hallucinations.
Privacy / Security
Avoids the exposure or direct use of sensitive data, ensuring adherence to privacy/security laws.
Data De-ID and Scaling
De-ID and scale datasests for efficient AI / ML training and analytics ensuring privacy with synthesized data
Data Curation
Includes features like null removal, imputation, outliner detection, datasplitting, normalization and encoding
Freely ask us for more information
Our AI SaaS solutions can be quickly deployed, enabling users to start benefiting from AI capabilities without lengthy setup and development times in fast-paced industries.
Ask your questionsCan I use Ascend's synthetic data for machine learning models?
Yes, Ascend's synthetic data can be used to train machine learning models as it retains the statistical properties of the original data, ensuring your models perform effectively without relying on sensitive or restricted datasets.
How does Ascend ensure data privacy?
Ascend creates synthetic data that mimics the statistical patterns of the original data, ensuring no real data is exposed, thus maintaining privacy and complying with data protection regulations.
What is a Signature in Ascend?
A Signature is a small file generated by Ascend that contains all the statistical information of the original dataset, used to create synthetic data that closely resembles the real data.