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Regenera

Regenera provides a secure, cloud-native data management platform for life sciences organizations. It offers end-to-end data lifecycle management with robust access control and auditability to ensure regulatory compliance and protect sensitive research data.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Life sciences organizations face significant challenges in managing and securing sensitive research data, particularly in adhering to complex regulatory frameworks. The need for robust data governance and auditable trails is paramount to maintain data integrity and ensure compliance.

Solution

Regenera offers a secure, cloud-native data management platform designed specifically for the life sciences sector. Our solution provides end-to-end data lifecycle management, from ingestion and processing to storage and archival, with built-in features for access control and auditability. The platform leverages advanced encryption protocols and granular permissioning to safeguard intellectual property and comply with regulations such as GDPR and HIPAA. By centralizing data management, Regenera enables research teams to collaborate more effectively and accelerate discovery while maintaining a strong security posture.

Target Audience

Our primary customers are pharmaceutical companies, biotechnology firms, contract research organizations (CROs), and academic research institutions that handle sensitive biological and clinical data.

Features

  • Cloud-native architecture for scalable and resilient data storage and processing.
  • Granular role-based access control (RBAC) to manage user permissions and data visibility.
  • Comprehensive audit logging for all data access and modification activities, ensuring regulatory compliance.
  • End-to-end encryption for data at rest and in transit.
  • Secure data ingestion pipelines with validation and integrity checks.
  • Version control and immutability features for research datasets.
  • Integration capabilities with existing research informatics systems.
This profile is AI-generated and may contain inaccuracies.