Data Requirements

The VEIL.AI Anonymization Engine is made to anonymize your data. However, it is important to prepare your data correctly to ensure compatibility with our Native App. This section outlines the key requirements for data format and content.

The VEIL.AI Anonymization Engine currently supports data in a single table format. The following column types are supported:

If your data contains datetime values, we recommend converting them to a supported format such as DATE or to derived numerical values (e.g., age, days since diagnosis, etc.). The engine preserves the row-wise order of events, which can be useful for sequence-aware analyses.

However, please note that due to the nature of the anonymization process, it is possible for synthetic or anonymized events to appear in the future relative to their original date. If exact temporal consistency is required, feel free to contact us.

Support for longitudinal data (e.g., multi-table time series or repeated measures per subject) is currently in development. Stay tuned as we continue to expand the capabilities of the VEIL.AI Anonymization Engine to meet a wider range of research needs.