Agora Labs provides a federated infrastructure for secure health data sharing, enabling researchers and engineers to access real-world evidence without compromising privacy. This approach reduces research costs and accelerates the generation of clinical insights through streamlined data collaboration across multiple research sites.
Funding
Funding not disclosed
Founders
Product
Problem
Sharing sensitive health data across institutions for research purposes is challenging due to privacy regulations, security concerns, and the complexities of data governance. Traditional methods of data transfer and storage are often costly, time-consuming, and pose risks to patient confidentiality. This limits the ability of researchers and engineers to access real-world evidence needed for clinical insights and product development.
Solution
Agora Labs offers a federated infrastructure that enables secure, privacy-preserving health data sharing between research sites and technology companies. The platform allows researchers and engineers to access and analyze real-world evidence without directly transferring or storing sensitive data. By activating data within a distributed network, Agora Labs reduces research costs, accelerates the generation of clinical insights, and facilitates collaboration across multiple organizations. The solution supports various study types, including care planning, clinical risk assessment, resource allocation, multi-centric research, health economics and outcomes research (HEOR), health technology assessments (HTA), and epidemiological studies.
Target Audience
The primary target audience includes clinical and research centers, life science companies, and AI companies and researchers seeking to access and analyze real-world health data in a secure and compliant manner.
Features
- Federated data infrastructure that allows analysis without data transfer
- End-to-end compliance management for multi-centric projects
- Support for up to 80 external nodes in partnership programs
- Secure environment for training and validating AI models on diverse datasets
- Tools for clinical risk assessment and resource allocation
- Partnership activation and management services
- Access to a network of life science, AI, and medical device partners