Data Anonymization

Ensure privacy by turning sensitive production data into an anonymized, freely accessible dataset with LooPanda

Our Clients

Data De-identification and Anonymization Solutions

The significance of data de-identification and anonymization has grown exponentially in the age of big data and advanced analytics. Anonymization takes the concept further by creating irreversible transformations to the data, making it practically impossible to re-identify individuals. Techniques like tokenization, data masking and generalization are commonly used in anonymization to replace sensitive information with pseudonyms or broader categories, maintaining the utility of the data for analysis while minimizing the risk of privacy breaches. LooPanda Processes typically include the removal of direct identifiers, such as names and social security numbers, as well as the transformation of indirect identifiers, such as dates of birth or geographical locations.

Personal Identifiable information (PII)

PII Data De-identification, or PII Data Anonymization, is the method of removing any information that could reveal the identity of an individual. This includes Personally Identifiable Information (PII), which encompasses data capable of contacting, locating, or identifying a specific person.

Some of the identifiers or data elements specified in the HIPAA De-identification Standard that might disclose an individual’s identity include:

Protected Health information (PHI)

PHI Data De-identification, also known as PHI Data Anonymization, involves the process of removing any information in a medical record that could identify an individual. This includes data created, used, or disclosed during medical services like diagnosis or treatment. Protected Health Information (PHI) refers to data that can identify a specific individual, encompassing details like contact, location, or personal identification.

Some examples of HIPAA identifiers or data elements that might identify an individual include:

Who benefits more
from anonymization
as a service ?

Anonymization as a service might be your
best choice, if one or more of following
are true :

Poster 2
Of course, developers can generate
synthetic data but that’s merely
a far approximation

Generated Synthetic Data

Anonymized-life-like Data

Production Data

Production Data


Healthcare organizations face the challenge of advancing and expanding their networks while handling the sensitive use of health data, which raises privacy concerns. To balance the societal benefits of extensive health datasets with individual privacy, we recommend employing the HIPAA Expert Determination method for de-identification. Our services assist organizations of all sizes in aligning their data with HIPAA standards, reducing legal, financial, and reputational risks, and improving healthcare services and outcomes.

Use Case


We wear our values on our sleeve and weave them into our data solutions. Choosing LooPanda means you get the benefit of our high standards enriching your AI intiatives.


As veteran industry professionals, we hold ourselves to the highest standards. See for yourself in our free data samples.


Human-machine interaction AI is a big fled, but we do it all. We’re confident we can deliver on your specific need.

Security & privacy

Never worry about security or privacy- we’re one of the first GDPR-compilant AI companies with ISO-27001 certification.


Our philosophy is that if data is the lifeblood of AI, people are the lifeblood of data. We’re your ethical AI partner.

300 people in 3 offices within India
GDPR Compilance
ISO 27001:2013 certification
ISO 9001:2015 certification
ISO 9001: Certification