De-identified by default
Researchers work against synthetic or de-identified clinical data in the sandbox. Access to identifiable PHI is a separate, logged request, not the starting point.
Build clinical models without PHI leaving its lane.
Kuvai for teams developing models on clinical, claims or patient data — with de-identification, environment isolation and a promotion gate that a compliance team can actually rely on.
RESEARCH
PROMOTION
A gate that checks for leakage
Automatic scans for PHI leakage and fairness across patient subgroups run before a model can move toward production — a failed scan blocks the promotion outright.
RESIDENCY
Data stays in its jurisdiction
Pin experimentation, evaluation and serving to the region your data use agreements require, including during any provider failover on the Mauvi side.
Compliance built into the pipeline, not bolted on after
A model built on clinical data usually has to satisfy someone who was not in the room when it was built — a privacy officer, an IRB, an auditor. The easiest way to fail that review is to have nothing written down until they ask.
Kuvai's environments produce that record as a byproduct of normal development: who touched what data, which checks a model passed, and who approved its move to production.
- Study or project-level isolationOne research team's environment cannot see another's data or models, enforced by the platform rather than a naming convention.
- Built to support HIPAA controlsAccess logging, encryption and data boundary requirements are handled at the environment level, not left to each team to reimplement.
- An audit trail, not an audit projectAccess, promotion and inference events are captured as they happen and exportable on request.
sandbox
open
synthetic data
staging
gate: 3/4 passed
de-identified
production
locked
HIPAA / PCI scope
Talk to us before your next IRB submission.
We're happy to walk through how Kuvai's environment and audit model maps onto your existing review process.