The definitive solution for the anonymization of personal data of your company

Dedomena's anonymization tools anonymize personal data in structured and unstructured databases, reversibly or irreversibly, in accordance with the needs of the information processing, ensuring compliance with all applicable data protection regulations such as GDPR and CCPA, amongst others.

Compliant with all data protection regulations

Comply with the European GDPR and any other data protection regulations by anonymizing personal data when necessary.

Seamless integration

Seamlessly integrate our anonymization tools into your products and services with an easy-to-use REST API or user interface. In both interfaces, you will benefit from full functionality and can configure the solution to your company's privacy needs.

Powered by Artificial Intelligence

Our unique anonymization tools automatically detect a personal identifier and generate a synthetic replacement that reflects the original attributes. Therefore, the solution protects identities while keeping necessary information for analytics or machine learning.

Use case flexibility

Anonymize structured and unstructured data such as audio, video or images. Our tools are the most precise AI-based solutions for anonymizing data that should not be reverse-engineered.


With Dedomena, securely anonymize your data on a day-to-day basis with best-of-breed artificial intelligence

Step 1
Select data to protect

Select the files and data you want to anonymize. Our solution will automatically detect the format, language and optimal configuration for further processing.

Step 2
Choose the optimal anonymization system

Decide between different types of anonymization based on your needs, whether it will be reversible or irreversible and begins processing data and content protection.

Step 3
Work with you anonymized data, risk-free

Once your data is anonymized, you can save it and use it securely. Dedomena will not store any private data, ensuring a clean and safe process. You can also keep track of the anonymization status and download your anonymization results through our intuitive user interface


Data anonymization plays an important role in maintaining data security and privacy across sectors

Comply with GDPR and other data protection laws

Compliance with regulatory requirements regarding GDPR or CCPA, amongst others.

Advance customer analytics

Obtaining data and insights from structured and unstructured databases, and the capacity to perform better advanced analytics on anonymized data.

Confident data-sharing

Legally share private and sensible data both internally and with third parties without compromising confidentiality and security.

Information security

If data is stolen through a data breach, it would have no practical value outside of the organisation.

Consistency across systems

Our approach to anonymization makes data consistent among multiple systems, making anonymized data reliable for analysis, development and testing.

Efficiency for development

Efficient machine learning algorithms allow shorter implementation time. Once the model is generated , you can use anonymized data on demand.


When is data anonymization crucial for your company?

Personal data

Effective anonymization of personal data eliminates the risks to individuals' data privacy. Data can be processed more easily and be used for multiple purposes.

Medical records

Medical records and health data to be shared or analyzed with other centres and doctors.

Behavioural information

Behavioural patterns can lead to identification of people behind them, compromising their identity.

Cloud environments

Storage, processing and migration of data in cloud environments must be performed in a secure way.

Banking activity

Banking data that is stored in different repositories to be able to extract financial insights and spending patterns of different types of users anonymously.

Location data

Location data is very sensitive because human trajectories show habits such as where you live, work and meet people.


Check out some of our explanatory articles or cross-industry
use cases to know more

What is Synthetic Data and Why is it so important?

Without any doubt, synthetic data is one of the key technologies in the present and future of data science and artificial intelligence, but what is synthetic data? How do they work? And why is it key for data-driven companies?

The Benefits of Synthetic Data

The applications and benefits that synthetic data can bring in the development of data-centric strategies for companies are huge and growing in relevance for data science teams.

Anonymization & Data Sharing

Throughout this article, we will work with a Kaggle dataset, making a brief demonstration of how synthetic data is generated and how it preserves the statistical properties of the original data.

Why do traditional data anonymization methods no longer work?

The techniques that have always been used to anonymize data do not have the guarantee of ensuring the total anonymity of the data. These are techniques that have flaws when it comes to ensuring data privacy and utility.

Synthetic Data use cases in Financial Industry

The banking industry faces a wide variety of challenges when it comes to anonymization and data privacy. Thanks to synthetic data, banks can tackle data challenges more effectively and unlock the full potential of their data assets.

The Value of Synthetic Data in Financial Services

Data anonymization is key to applying the best data-driven strategies in the banking industry. The correct implementation of this strategy based on synthetic data will allow extracting all the knowledge and insights from customer financial data.

The Potential of Synthetic Data in Healthcare

Synthetic data has received considerable attention as a method of protecting patient privacy, diversifying datasets and augmenting clinical research, hence accelerating the application of Artificial Intelligence across different hospitals and institutions.

Synthetic Data for People Analytics

Companies now have access to more employee data than ever before, and, as data collection becomes easier, it is more important than ever for HR to take position on ethical data use, privacy and security.

Synthetic Data for insurance

Synthetic Data can help insurance companies to improve their underwritting, claims management and customer experience while unlocking the potential of data that have been hidden by data privacy regulations.