HIPAA makes most mainstream AI a liability. Teams work around it unsafely or avoid AI entirely. Wavn is built so patient-adjacent data never persists on a model provider's servers.
HIPAA makes every consumer AI tool a liability the moment patient-adjacent data is involved. So teams either work around it unsafely, or skip AI altogether. Both are worse than a tool built for the constraint.
Patient-adjacent work needs AI that respects strict handling rules. Wavn's architecture keeps data isolated from model providers — documentable for your compliance and legal review.
Mark each conclusion as a decision, action, or open question. Clinical and operational reasoning is preserved with its evidence — not lost in a chat history.
The Perspective Engine shows supporting and opposing findings side by side with sources, so a recommendation is weighed against the counter-evidence before it's made.
With no OpenAI in the stack, there's no consumer Terms of Service governing sensitive material. Independence is enforced at the architecture level, with an on-premises option for Studio.
A hospital operations team is evaluating a change to a care pathway. The evidence is mixed, and the stakes are high. Here's how that review looks in Wavn.
Illustrative scenario. Wavn is invite-only and pre-launch; no real client data depicted.