ODINsight creates a Canadian private data exchange consortium that enables health data holders to collaborate securely through an independent data trust and a discovery platform. The trust provides operational controls and fiduciary oversight while the platform lets organizations locate, value, and share data without moving sensitive information, supporting privacy‑preserving innovation across the health ecosystem.
Funding
Funding not disclosed
Founders
Product
Problem
Health data in Canada is fragmented across multiple institutions, making it difficult to locate, extract, and curate for research or commercial use. Access requests are often slowed by defensive, manual processes and unclear governance, leading to months or years of delay. Consequently, data holders cannot assess the value of their assets, and potential partners lack a trusted mechanism to discover and contract for data.
Solution
ODINsight creates a private health data exchange consortium that combines an independent data trust with a discovery platform. The data trust is administered by a fiduciary trustee who enforces common principles, operational controls, and clear governance policies on behalf of contributors. The discovery platform indexes data assets without moving them, allowing organizations to assess the relevance and potential value of their data while it remains in its original location. Privacy‑by‑design controls, access rules, and oversight ensure that only authorized parties can query or use the data, preserving sovereignty and compliance. AI‑enabled analytics surface research opportunities and help quantify data value without exposing raw records. Together, these components enable secure, efficient collaboration between health data holders and industry partners.
Target Audience
Primary users are Canadian health data custodians such as hospitals, research institutes, and provincial health agencies, as well as industry partners—including pharmaceutical, biotech, and health‑tech companies—seeking secure access to real‑world health data for research and product development.
Features
- Independent data trust with fiduciary oversight and enforceable governance policies
- Privacy‑preserving architecture that keeps data in the holder’s environment while enabling controlled queries
- Discovery platform that indexes and surfaces data assets, providing visibility and valuation without data movement
- Operational controls and access‑rule engine to manage permissions, consent, and compliance centrally
- AI‑driven insight tools that identify research opportunities and estimate data value while maintaining privacy
- Policy‑supported workflow for request review, approval, and audit tracking