VEIL.AI understands the unique challenges of managing sensitive data across research institutions and hospitals. Our next-generation anonymization technology supports ethical data use while meeting the stringent requirements of academic and clinical research. Whether for AI development, multi-party research, or large-scale studies, VEIL.AI helps you ensure that your data is compliant and retains its full research potential without compromising on privacy.
Maintain the quality and utility of your data with next-generation anonymization that preserves essential details.
Use privacy preserving technology to meet the rigorous standards of GDPR, the EU AI Act, and US NIST guidelines.
Securely train and validate artificial intelligence systems with anonymous high quality data, compliant with GDPR and the EU AI Act.
Seamlessly share and utilize data across borders with full compliance under the European Health Data Space framework.
A testimonial from Johanna Mattson
HUS
Global collaborations are crucial for advancing academic and medical research, but cross-border data sharing comes with complex privacy and compliance challenges. VEIL.AI helps research institutions and hospitals securely share anonymized sensitive data with international partners, ensuring adherence to all privacy regulations. Our solutions facilitate seamless global collaboration while safeguarding data privacy.
AI development in healthcare requires access to large volumes of high-quality data that must also comply with strict regulations like the EU AI Act, GDPR, and EHDS. VEIL.AI provides anonymization solutions that transform sensitive health data into AI-ready datasets without compromising on privacy or utility. This enables your AI projects to move forward with confidence, knowing that all regulatory requirements are met.
Managing sensitive data in academic and clinical research requires navigating complex privacy regulations. VEIL.AI provides next-generation anonymization and verification services that ensure your data complies with the strict standards of the EU AI Act, GDPR, and EHDS.
The PHEMS project, supported by Horizon Europe, aims to revolutionize pediatric healthcare through secure, cross-border collaboration among children’s hospitals across Europe. By combining VEIL.AI’s next-generation anonymization with federated learning, the project allows hospitals to collaborate on sensitive data without the need to transfer raw data between institutions. This innovative approach ensures compliance with GDPR and EHDS while maintaining data utility for groundbreaking research in pediatric care.
This case demonstrates:
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.
Leverage our secure and scalable cloud platform, where we manage the deployment and maintenance, allowing you to focus on your core operations.
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.
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.
Get in touch with us to discover how VEIL.AI can help you securely anonymize your health data, and enhance your research capabilities.
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As 2024 draws to a close, VEIL.AI celebrates a year marked by innovation, collaboration, and significant milestones that have
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VEIL.AI has been selected to present at the Tech Tour AI for Health event, scheduled for 22-23 January 2025
