Scope
Define the intended use, cohort, longitudinal structure, sensitive attributes, and unacceptable disclosure risks.
Health & life sciences
Make scarce cohorts available for controlled evaluation.
Generate representative structured and narrative data while testing the privacy and task utility of each intended release.
02.2
Example constraint
A product team needs to test a care pathway across small sub-populations without giving broad access to identifiable longitudinal records.
Ready for qualification
A concrete foundry workflow
A product team needs to test a care pathway across small sub-populations without giving broad access to identifiable longitudinal records.
Forge
Generate constrained records that preserve clinically relevant relationships, missingness, and temporal patterns.
Evaluate
Measure cohort fidelity, downstream task performance, leakage risk, and unsupported edge conditions.
Accept
Release only the synthetic cohort, evidence pack, limitations, and permitted-use terms approved by owners.
Acceptance measureUtility across agreed cohort tasks
Baseline → threshold → observed result
Controls to scope
✓Intended-use limitation
✓Small-cohort disclosure risk
✓Clinical or analytical utility
✓Named privacy and data owners
Start with one release
Qualify the first health & life sciences release.
Start with one restricted dataset, one model decision, and explicit acceptance criteria.
Request an assessment