Challenge
A cognitive health AI startup needed to validate its product with real patients. They lacked a compliant data collection stack, cross border permissions, and a governance framework that could convince clinicians and investors that the system was safe to trial.
Solution
We deployed OPORA Core into the startup’s cloud environment and configured it to match their study protocol, data model and consent requirements. Their engineering team then built their AI layer directly on top of OPORA Core’s secure data, workflow and audit components, avoiding the need to reinvent clinical-grade infrastructure.
Implementation
Because OPORA Core ships with patient onboarding, longitudinal data capture, consent management, audit trails and automated compliance checks, the combined team progressed from project kickoff to a pilot ready prototype in three months. Configuration focused on tailoring endpoints, extending schemas and adding study specific logic, rather than building foundational systems.
Governance and Compliance
The built-in AI governance dashboard made it easy to prioritise features and produce a clear compliance roadmap. Each governance requirement was linked to concrete data collection and processing functions inside OPORA Core, giving both engineers and clinicians a shared view of risks and mitigations.
Outcome
Investors and clinical decision makers used the governance dashboard to monitor progress and confirm regulatory alignment. The startup entered patient validation with a system that was technically sound, clinically defensible and ready to scale.