Pharma & biotech

Enable new possibilities for clinical data sharing, real-world evidence & data for AI with next-generation anonymization

Overcome European health data GDPR challenges with our experience, expertise and novel technology.

Trusted by global pharma for data privacy

VEIL.AI is a trusted partner for the world’s leading pharmaceutical companies, helping them navigate the complexities of sensitive health data. Our technology empowers you to maximize data utility without sacrificing privacy or regulatory compliance. Proven across clinical trials, health economics studies, and cross-border research, our solutions ensure that your data remains secure, compliant, and ready for any “Data for AI” application.

High data quality

Maintain the quality and utility of your data with next-generation anonymization that preserves essential details.

Proven privacy

Use privacy preserving technology to meet the rigorous standards of GDPR, the EU AI Act, and US NIST guidelines.

Data for AI

Securely train and validate artificial intelligence systems with anonymous high quality data, compliant with GDPR and the EU AI Act.

EHDS ready

Seamlessly share and utilize data across borders with full compliance under the European Health Data Space framework.

This is a significant achievement. In our study, we could draw the same conclusions from anonymized data as from traditional pseudonymized, individual-level research data.

Jussi Leinonen

Strategic Project Lead, BAYER

Use cases

VEIL.AI’s anonymization technology enables the creation of robust virtual control arms for clinical trials. Our technology ensures that anonymized real-world data (RWD) can be used effectively, increasing the statistical power of your trials while adhering to the highest privacy standards.

Our next-generation anonymization technology helps you unlock value from historical randomized controlled trial (RCT) data restricted by initial consent agreements. By anonymizing legacy RCT data, you can perform secondary analysis, validate new treatments, and repurpose data for future trials without compromising patient privacy or regulatory compliance.

Next-generation anonymization enables the use of RWD for AI/ML model training without compromising data privacy. Our technology ensures that the data fed into your models remains anonymized, while still being of high quality and relevance. This allows you to build, train, and refine AI models for healthcare applications with confidence in data security and compliance.

Real-world evidence (RWE) is key in gaining market access and demonstrating health outcomes for new therapies. VEIL.AI’s next-generation anonymization helps you securely anonymize RWD, enabling you to create robust RWE without breaching privacy regulations. Use anonymized RWE to substantiate the value of your innovations in health economics, market access, and regulatory submissions.

VEIL.AI empowers global clinical research by enabling the secure and compliant sharing of sensitive health data across borders. Our technology meets the highest privacy standards, including GDPR and EHDS, allowing for seamless international collaboration that accelerates research and innovation.

Maintaining patient privacy while utilizing health data is a big concern. VEIL.AI provides comprehensive privacy risk assessments and anonymity verification tools and services, ensuring that the anonymized data meet all legal and ethical standards. Findata, the Finnish Social and Health Data Permit Authority, has approved our protocol to verify anonymity before releasing the anonymous data for secondary use.

Real world applications

Case Study

How Bayer leverages GDPR-free anonymized data for external control arm & global data sharing

Global life science company Bayer carried out a four-year multi-million-euro development project called Future Clinical Trials (FCT), which utilized AI-enhanced next-generation anonymization from VEIL.AI. Our unique technology enabled the secure and efficient use of high-quality, anonymized data. For the first time, Findata approved the data as GDPR-compliant, allowing its transfer across borders for further enrichment and innovative research.

This case demonstrates:

RESEARCH PAPER

Download the research on "Utilization Of Anonymization Techniques To Create An External Control Arm For Clinical Trial Data"

In a joint study with VEIL.AI’s partners Bayer and MedEngine, we compare the use of anonymized and pseudonymized Real-World Data (RWD) in creating external control arms (ECAs) for single-arm randomized controlled trials (RCTs) .

The study, published in BMC Medical Research Methodology, showed that one could draw the same conclusions from anonymized data as from traditional pseudonymized, individual-level research data.

How you can collaborate with VEIL.AI

Model 1

VEIL.AI hosted SaaS solution

Leverage our secure and scalable cloud platform, where we manage the deployment and maintenance, allowing you to focus on your core operations.

Model 2

Customer hosted solution

Our anonymization stack can be deployed to your architecture and you host it. It can be deployed to almost any platform. Both cloud and on-premises solutions are possible. SLA is agreed according to your needs.

+ Additional service

Professional/ consulting services

Benefit from our expert professional services, where our team of data scientists and privacy engineers will collaborate with you to overcome your data and privacy challenges, ensuring you achieve your objectives with confidence.

Ready to unlock the full power of your data?

Get in touch with us to discover how VEIL.AI can help you securely anonymize your health data, enhance your research capabilities, and accelerate your time to market.

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Resources

Dive deeper into VEIL.AI’s technology through our comprehensive whitepapers, case studies, and research articles. Learn how our technology is being applied in real-world scenarios and see the results for yourself.

VEIL.AI Anonymization Engine to enable high-quality, individual-level, GDPR-compliant data anonymization for joint customers
CEO of Nightingale Health Teemu Suna reflects on the limitations of a purely legislative approach to balancing data privacy
VEIL.AI has partnered with BC Platforms, Modirum Platforms, and Productivity Leap to develop an AI-enhanced, end-to-end platform tailored for
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