Particula-Healthcare understands the language of medicine. Trained on clinical notes, medical literature, and healthcare documentation, it accurately extracts diagnoses, medications, procedures, and other clinical entities. Designed for on-premise deployment to maintain HIPAA compliance and data sovereignty.
How this model is built
Three engineering choices that make a 7B model outperform 175B generalists on its task.
Clinical Corpus Training
Pretrained on de-identified medical literature, clinical notes, and ICD/CPT taxonomies. Speaks the language clinicians actually use.
HIPAA-Ready Deployment
Designed for on-prem from day one. Never connects to public APIs, every artifact stays inside the environment your compliance team approved.
Reviewed by Clinicians
Eval methodology and failure modes were reviewed with practicing physicians, not just ML engineers. Errors are flagged, not buried.