Keep regulated AI under your direction
SmartClover pairs distributed ledger-based delivery with hybrid cloud-edge coordination so research teams retain control of sensitive data, adapt models responsibly, and share evidence with regulators across SaaS/PaaS healthcare product operations.
Note: Within regulated research, eSource denotes the electronic source data captured at point of care, while the patient health record (PHR) aggregates that longitudinal evidence for sponsors and clinicians.
Clinical data stays within your boundary
Deployments run on "your AI, your Data" and "your App, your Data" control planes that you designate, so AI product platforms operate on on-prem and on-edge infrastructure with cloud coordination layers that match your residency, privacy, and procurement requirements. You always know where eSource data is processed.

Audit-ready evidence without extra busywork
Every deployment writes to an append-only delivery public ledger log, producing timestamps and build fingerprints ready for clinical audits or security reviews. Investigators see exactly what ran and why decisions were made.

Policy automation with human oversight
Policy templates are built into product releases so participation rules remain aligned with sponsor and regulator obligations. Teams operate confidently without surrendering control to a central data silo.
