
Biobase
Biobase provides a federated operating system that links siloed clinical datasets across hospitals, labs, and research organizations while keeping the data on‑premise. The platform includes built‑in HIPAA‑compliant de‑identification, consent management, and AI agents that automate cohort creation, analytics, and workflow orchestration, enabling secure, on‑demand access to multimodal health data for research and monetization.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Healthcare Technology
Funding
Funding not disclosed

Founders
Founder details are not available yet.
Product
Problem
Healthcare institutions and life‑science companies often store clinical data in isolated silos, making it difficult to share information for research while remaining compliant with HIPAA and patient consent requirements. This limits the speed and scale of precision‑medicine studies and the ability to monetize valuable data assets.
Solution
Biobase offers a federated operating system that connects multimodal clinical datasets across hospitals, labs, and research organizations without moving the data. The platform provides built‑in HIPAA‑compliant de‑identification, consent management, and regulatory documentation, enabling secure, privacy‑preserving data exchange. AI‑driven agents automate cohort creation, analytics, workflow orchestration, and procurement, turning weeks of manual effort into minutes. By acting as an infrastructure layer rather than a marketplace, Biobase lets data owners retain full control while providing researchers with on‑demand access to high‑quality, linked clinical information.
Target Audience
Primary customers are hospitals, health systems, and clinical laboratories that want to monetize and share their data, as well as life‑science research firms and AI teams that need compliant, linked clinical datasets for precision‑medicine projects.
Features
- Federated architecture that links siloed clinical datasets while keeping data within the source organization
- Integrated HIPAA compliance, consent tracking, and automated de‑identification for regulatory‑grade data sharing
- AI agents that generate cohorts, run analytics, and orchestrate workflows without manual intervention
- Automated procurement and usage reporting to facilitate secure data commercialization
- Support for multimodal data types, including imaging, genomics, lab results, and electronic health records
- API and SDK interfaces that enable seamless integration with research platforms and AI pipelines