Reliability AuditCG‑DBS BenchmarkMonitoring & Drift
Reliability Engineering
for Biomedical AI
We measure, track, and certify dataset reliability with clinical and statistical controls—so your data can be defended in production.
Offer
Request a Reliability Audit
A structured evaluation of dataset quality, traceability, and deployment risk—delivered as an executive-ready report plus an implementation plan.
Audit areaWhat we verifyOutput artifact
TraceabilityLineage, change logs, provenance completenessTraceability gap map
Label integrityGuidelines, error taxonomy, reviewer accountabilityLabel risk register
Consensus strengthDisagreement rates, κ, dispute resolution effectivenessConsensus report
Shift readinessPSI/drift triggers, intervention workflowsMonitoring specification
Subgroup robustnessPerformance deltas, cohort coverage, edge casesSubgroup risk assessment
Benchmark
Clinical‑Grade Dataset Benchmark (CG‑DBS)
Score your dataset against clinical-grade standards across governance, QC, shift readiness, and defensibility. Use the score to prioritize investment and communicate readiness clearly to stakeholders.
Governance score
Lineage completeness, versioning discipline, audit trail integrity.
Quality score
QC rigor, sampling strategy, disagreement and rework patterns.
Production score
Shift readiness, monitoring triggers, edge-case intervention plan.
Outcome: A single score + pillar breakdown + remediation roadmap.
Monitoring
Edge Cases + Drift Monitoring
Production reliability is a moving target. Trinzz defines what to track, when to alert, and how to intervene—with measurable thresholds and a workflow that produces evidence.
Population Stability Index (PSI) by bins with stable vs shift thresholds
Calibration monitoring across time, sites, devices, and cohorts
Subgroup robustness monitoring with automatic risk flags
Review queues for edge cases and distribution shift samples
Make reliability measurable—and keep it measurable.
If you’re deploying in real clinics, reliability needs a dashboard, thresholds, and an intervention workflow. We’ll help you build that operating system.
FAQ
Common questions from clinical and enterprise buyers.
What is a Reliability Audit, exactly?

A structured assessment of traceability, QC strength, consensus integrity, shift readiness, and subgroup risk—delivered as an executive report plus an implementation roadmap.

How is CG‑DBS different from an audit?

CG‑DBS produces a benchmark score and pillar breakdown for quick alignment and prioritization; an audit is deeper and includes remediation design.

Do you support ongoing monitoring programs?

Yes. We define thresholds (PSI, calibration) and a clinical review workflow so interventions are measurable and auditable.