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SVV.app is a high-growth digital health technology company focused on building secure AI infrastructure for healthcare providers, clinical research organizations, and life sciences companies.
Founded in 2022, SVV.app develops software that helps healthcare teams securely analyze clinical data, automate administrative workflows, and integrate AI-assisted decision support into existing hospital and research systems. The company’s platform is designed for organizations handling highly sensitive information, with an emphasis on privacy, auditability, regulatory compliance, and secure data processing.
SVV.app serves hospitals, private healthcare networks, pharmaceutical companies, medical research organizations, and digital health startups across Europe and North America. Its customers use the platform for clinical document processing, patient-support automation, medical data classification, research analytics, and secure AI-assisted knowledge retrieval.
The company has raised approximately $48 million in venture funding and is currently valued at more than $300 million. Its investors include several European technology funds, healthcare-focused venture firms, and strategic investors from the pharmaceutical and cloud-computing industries.
SVV.app employs more than 140 people across engineering, cybersecurity, machine learning, clinical operations, and regulatory compliance. The company operates distributed engineering teams across Europe, with additional commercial operations in the United States.
Security is a core part of the SVV.app platform. The company maintains a dedicated product-security team, performs regular penetration testing, and operates a responsible disclosure and bug bounty program for independent security researchers.
The SVV.app platform processes millions of healthcare-related documents and AI requests each month. Its infrastructure is built around encrypted cloud environments, strict tenant isolation, role-based access controls, detailed audit logging, and automated monitoring for suspicious activity.
The company’s long-term goal is to become a trusted AI infrastructure layer for healthcare, enabling organizations to adopt generative AI and advanced analytics without compromising patient privacy, regulatory obligations, or security