Hospitals are starting to require independent safety checks before they buy AI. A vendor's own benchmark no longer settles it. PsiBench scores models against the standards hospitals actually use, independently, and we publish the results.
The FDA software guidance was written for rule-based systems, not generative models, and hospitals know it. They are starting to require independent safety validation before they buy. We built the validation.
Self-reported safety claims no longer clear the bar. Hospitals are asking for a third-party score on the standards their own audits use.
The regulatory landscape is widening. PsiBench tracks the standards as they activate, so your evaluation history grows with them.
A credible, independent score the buying institution already understands. Owned and published by the experts who wrote the standard it operationalizes.
Independent evaluation against the clinical safety standard hospitals already audit against. Synthetic-first methodology, zero PHI, and a structure designed to grow with how you train and ship clinical models.
The same three-tier score procurement teams will see, on the same standard hospitals are already audited against.
Per-scenario detail on what was missed and why, expert-reviewed, so the score points somewhere actionable.
As PsiBench expands across CMS SAFER, Joint Commission, ISMP, and international standards, your engagement scales with it.
We are actively shaping how labs engage, and partnership terms are flexible during the publication window. Talk to us early to influence the shape.
Pricing is set by deployment context, model family, and engagement depth. The structure below is the starting frame.
First public scorecard publishing in the coming weeks.
Two preprints documenting the methodology and the field-wide findings are landing in the coming weeks. The labs that engage during this window help shape how independent evaluation is structured for the category.