Prism Data raises $38M to launch privacy-preserving LLMs for healthcare search

AI · 5 min read

Prism Data’s models focus on retrieving and summarizing sensitive clinical information while preserving patient privacy via federated training, differential privacy, and secure enclaves. The product includes a searchable clinical knowledge graph and connectors to common EHR systems for contextual retrieval.

The $38 million Series A was led by Helix Partners and included participation from healthcare-focused venture funds. Prism Data plans to expand its compliance certifications, build stronger clinician feedback loops, and support more healthcare IT vendors.

Hospitals piloting the product reported faster information retrieval in clinical documentation and research tasks. Prism emphasizes that its offering is aimed at augmenting clinicians, with strict guardrails and transparency features so outputs can be audited and traced back to source documents.