From a synthetic cohort to evidence.

1. Request access and sign in with your individual pilot account. There is no public registration.
2. Create a synthetic project with a clear research question.
3. Download the approved CSV cohort or approved XLSX cohort. Keep its original filename and bytes. Other uploads are rejected.
4. Open Datasets, choose the file, then Validate & import. Inspect the profile before proceeding.
5. Analyze the version. The default grouped logistic baseline uses outcome, age_years, marker and subject_key. Settings and partitions are preserved.
6. Inspect the computed results and their limitations. Prepare a new immutable version, compare compatible runs or export an evidence ZIP.
7. Register a model, record research review and acknowledge its limitations before project-private publication. For the default two-feature model, use the approved prediction JSON in the input form. Other inline prediction samples are rejected.
8. Retire a published endpoint when finished. Sign out on shared devices.

Access and limits

Owners manage projects and memberships. Analysts import and run analyses. Reviewers review and export permitted evidence. Viewers can read granted projects. Account provisioning and recovery are operator-assisted; project invitations do not send email.

Hosted limits: supplied fixtures only, 1 MiB upload, 64 MiB original-input quota per project, one worker job per host, 15-minute job deadline and two-hour sessions. General large-dataset performance is unqualified.

Dataset deletion is an audited tombstone, blocked while active jobs or published endpoints use it. Immediate physical purge and automatic retention are not implemented. Backups preserve earlier synthetic data.

Research-only methods need scientific judgement. The pilot does not provide diagnoses, treatment advice, institutional SSO or regulatory certification.