Healthcare & life sciences
Exactness first. Private boundary first. Proof first.
Healthcare and life-sciences workloads require explicit data-handling, validation, and deployment boundaries. Public benchmark results are starting points for diligence, not clinical or regulatory approval.
Use-case matrix
Healthcare fit is workload-specific.
| Workload | Posture | Evaluation path | Required boundary |
|---|---|---|---|
| Medical imaging / embeddings | Exactness-first evaluation | fp32/fp64 or Atlas-first calibration before compression | Private deployment and proof pack |
| Genomics / high-dimensional features | Structural profiling | Atlas verdict plus recall/precision tier selection | Data-handling agreement required |
| Clinical decision support | High-risk / restricted | Do not rely on public benchmark claims alone | Separate validation, legal, and clinical review required |
| Pharma / R&D retrieval | Potential fit | Corpus-specific calibration and proof-pack review | Private evaluation |
| PHI-bearing workloads | Contractual boundary | No PHI through public forms | BAA/DPA posture reviewed before data exchange |
Data handling
Do not submit regulated data through the public form.
PHI, clinical data, genomic data, private corpora, and credentialed systems require a written diligence path before any exchange. A BAA/DPA posture should be reviewed before regulated workloads are scoped.
Evidence posture
Exact tiers before compressed deployment.
For high-assurance healthcare and life-sciences evaluation, start with fp32/fp64 exact-recall or Atlas calibration. Compressed-path certification is a separate gate and should be completed for the specific model/corpus before production decisions.