Innovate Faster with Unstructured Text Anonymization

The Path to Analyzing Unstructured Text

Unstructured text can be difficult to analyze, often involving large data sets in various formats and degrees of readiness. Any internal experts required to prepare and anonymize this data will be few and have limited bandwidth, and out-of-the-box automated tools need to be flexible enough to perform well in your data environment or to adequately preserve the format of your text data.

Unlock Value From Unstructured Text with Strong Privacy Assurances

Are you planning to reuse unstructured text data within your organization or share it with third parties?
Are you unclear on the legal and regulatory requirements for secondary use of unstructured data?
Do you have limited data pipeline and tooling to handle unstructured text data?

Then Privacy Analytics’ Unstructured Text Anonymization is right for you.

Format-preserving Anonymization for Unstructured text

Turn unstructured text into timely, useful data that is aligned with regulations. Get there by engaging our team of experts as a managed service, by licensing our proprietary software, or both. We’ll align the right engagement model for your business context and needs so you can:

Achieve Speed and Scale

Gain efficient, scalable detection of personal information in text data, processing 1,000s of text examples in seconds and deploying in the cloud or on-prem.

Enable AI-Driven Innovation

Our advanced anonymization methodology preserves the format of unstructured text and maximizes its utility to enable multiple use cases for AI.

Prove Privacy Compliance

Get auditable and statistical proof showing your organization has taken the right steps to protect privacy in compliance with global regulations.

Inputs: Unstructured Text

The 76-year-old patient, Gloria Farnsworth (ID #40496), was admitted to Mercy Hospital on January 3, 2023. Patient #40496 was seen by Dr. Hubert Jones.

Unstructured Text Anonymization

Turns personal information in unstructured text info format-preserving, longitudinally-consistent data.

Text Data Aligned to Regulations

The 70-year-old patient, Margaret Burns (ID #39210), was admitted to Cape Coral Hospital on December 12, 2022. Patient #39210 was seen by Dr. Bernard Smith.

Why trust Privacy Analytics with your health data privacy?

Of sensitive data assets protected in healthcare and life sciences

of customers served since 2007

standards and regulatory guidelines informed by our experts, including ISO 27559:2022