LET US HELP YOU ON YOUR
DATA-DRIVEN JOURNEY

Unlock the power of data.

Access, combine and share data more securely and with richer quality.

VEIL.AI helps you to utilize sensitive health data for research, innovation and development to support new discoveries, patient treatment and better decision making in healthcare.

Why Choose Us

We are a leading European company specializing in sensitive data anonymization and synthetic health data. We combine deep biomedical data expertise, unique AI-driven technology and privacy.

Unique technology

Our unique technology provides benefits that current state of the art technologies cannot match. 

20+ years of expertise

We have 20+ years of expertise on health data & demanding sensitive data projects.

Forerunner in health data anonymization

Strong  know-how and the capability to help you to create data strategies related to anonymization and synthetic data.

Trusted partner

We are a trusted partner of top-tier global pharma companies and major university hospitals.

Veil.ai GDPR

How our solutions can benefit patients, hospitals and pharma companies

Here are some examples of what our unique AI-based solution enables:

Increases access to health data, offering higher data quality and utility while maintaining patient privacy

Provides broader possibilities to create Real World Evidence (e.g. collecting and combining data from many sources / sites / countries)

Meets the requirements for future Evidence Generation (RWE and Predictive Evidence) and increases Evidence Generation Efficiency

Superior collection and anonymization of streaming data (wearables, medical devices, IoT)  enables development of new services

Supports Decentralized Clinical Trial set-ups, shortening Clinical Trial lengths and costs

Enables better interoperability to share data for many different purposes (e.g. hospitals)

Enables development of AI algorithms for better treatments and patient care

Enables new possibilities for Health Economics and Value-based Healthcare 

Anonymized data is "GDPR free"

One of the big advantages of anonymized data is that according to GDPR (The General Data Protection Regulation), it is not considered as personal data.

It is therefore easier and faster to pool anonymized data from many sources and create larger datasets, which can be utilized in many ways.

EU GDPR RECITAL 26:

"The principles of data protection should apply to any information concerning an identified or identifiable natural person.

Personal data which have undergone pseudonymisation, which could be attributed to a natural person by the use of additional information should be considered to be information on an identifiable natural person.


...


The principles of data protection should therefore not apply to anonymous information, namely information which does not relate to an identified or identifiable natural person or to personal data rendered anonymous in such a manner that the data subject is not or no longer identifiable.

This Regulation does not therefore concern the processing of such anonymous information, including for statistical or research purposes."

The Silo Problem

More information is better, but accessing or combining sensitive data is difficult  -  personal privacy must be protected. Because of this, data is often stuck in silos.

Sensitive data and pseudonymized data, restricted by GDPR legislation, are often the most difficult to access and least secure. But anonymized data and synthetic data can be shared much more easily.

In all, VEIL.AI can enable multi-party data integration and collaboration without the transfer of sensitive data, allowing data across borders or organizations to be combined, analyzed, and shared safely.

Before: Data in silos

  • Not easy to access
  • Requires a lot of time to get permits
  • Challenging to combine and pool data
  • GDPR restrictions apply

Data cannot be used in an optimal way. Data in silos may even prevent research, innovation and development projects from starting

Now: VEIL.AI's unique technology

Anonymization done at each data source, only anonymized data shared. VEIL.AI’s solution enables:

  • Easier access to data
  • Combining and pooling datasets
  • Anonymized (and synthesized) data are “GDPR free” - therefore sharing and transferring of data is easy
  • Opens new opportunities to utilize sensitive health data thanks to advanced anonymization / synthetic data

Pseudonymized data vs. Anonymized data

Many healthcare professionals are familiar with pseudonymized data, but do not know the benefits of anonymized data. Advanced anonymized data can provide a solution in many cases where pseudonymized data cannot help.

Pseudonymized data

Pros

  • Often most common form of data in research activities
  • Ability to reverse pseudonymization to identify a single individual (e.g. backtracking to patient for incidental findings or compliance)
  • Reduces the most common privacy violation: unnecessary or malicious access to data by authorized users

Cons

  • Sharing of data restricted: pseudonymized data is still considered personal data under GDPR and regulated as strictly as data containing direct identifiers in Europe
  • Pooling larger datasets from different countries / sites is difficult or impossible (e.g. for investigating rare endpoints or diseases)
  • Use for research, development, and innovation restricted and can be difficult & time-consuming (delays from months to years)
  • Can only be used according to permits for specified usages - not possible to use for other purposes

Anonymized data

Pros

  • Can be shared freely; anonymized data no longer considered personal data under GDPR (not subject to privacy legislation)
  • Pooling larger datasets from different countries / sites is possible, and with standard data models is easy (e.g. RWE studies or integrated data analysis platforms)
  • Enables easier and faster use for research and innovation (when it is difficult due to legal reasons/regulations)
  • Enables better interoperability for value-based care (e.g. between sites / hospitals / countries)
  • Can be offered as an alternative to federated architectures
  • High utility in AI algorithm development
  • Can draw the same conclusions as from original data (with advanced anonymization)
  • Strong privacy protection

Cons

  • No ability to link additional content to a dataset on an individual participant level
  • When done badly, interesting and useful properties of the data may be lost

ConClusion

VEIL.AI offers solutions for both the pain-free management of pseudonymized data and advanced, high quality anonymization at row level. If you are interested in making your data management life easier and releasing the power of data, we are happy to discuss how we can help.