Not by asserting it. By being overridden, thousands of times, by physicians whose disagreement is recorded, measured and used, until the gap between the draft and the decision closes on its own evidence.
Most clinical AI is sold as a finished judgment a clinician is invited to trust. We think that gets the direction backwards, and that it is why so little of it survives contact with a real department.
V3ra produces a draft and puts three equal-weight buttons under it. Every time a physician replaces a recommendation and says why, that is a labelled example of the exact thing the engine got wrong, generated by the person best placed to know, in the course of work they were doing anyway.
Capability that arrives that way arrives with an audit trail showing how it was earned, which is the only version of autonomous clinical capability a hospital should ever be asked to accept.
They are not a style guide. They are the reason you can check what is written here rather than deciding whether to believe it.
A claim carries its source or it does not ship. Every substantive statement carries a chip naming where it comes from. Where no citable figure exists, the chip is visibly empty rather than filled with a plausible one.
We do not assert legal conclusions about your exposure. Findings identify potential issues warranting review. What they mean for you is a determination for you and your counsel.
No outcome number before the work that makes it representative. See Validation for exactly which phase each figure comes from.
Every page says what the product is not. Those sections are not softened, and they are the first thing we would want to read if we were buying this.
The people below are the ones a hospital ends up talking to. There is no layer between them and you, and no sales team to route you through.
Former acquisitions lead at RE Wealth Advisors, and ran a medical and aviation practice for three years. Has held more than a hundred conversations with hospital executives testing whether V3ra answers a problem they actually have.
LinkedIn
Twelve years building custom automation systems, with multiple seven-figure exits behind him. Owns the engine, the retrieval corpus and the models the overrides train.
LinkedIn
Board-certified emergency physician with more than forty years in clinical practice. Jefferson Medical College. He is the reason a recommendation that would not survive a real department does not ship.
LinkedIn
Practising physician and healthcare administrator for over ten years, and Enterprise Director of Revenue and Documentation Integrity at Pediatric Associates. Revenue cycle and medical coding.
LinkedIn
Former Chief Legal Officer at GNC, a publicly traded company. Case Western Reserve JD. Corporate governance and intellectual property.
People who have agreed to be asked hard questions about this, from the side of the table a hospital sits on.
Each line above is the person’s own background, not ours to embellish. Nobody on this page has a credential written for them that they have not confirmed, and the three advisors carry a role and a link rather than a sentence we composed on their behalf.
Does the product do what it says, and is the company going to be here in three years. Here is our answer to the first, in the form that lets you check it.
Three surfaces shipping: the Intake Pod, Clinical Intelligence during the encounter, and Chart Audit after it.
Phase 1 complete on a synthetic cohort. Phase 2 chart-audit adjudication underway. Prospective calibration begins at the first pilot site. The phases are set out in full.
None named. We will not run a logo bar until there are logos we have earned.
No SOC 2 or HITRUST report held today. The controls behind the claims are on Security and can be inspected at a pilot.
The person who replies is the person who can answer the technical question. Usually the same day, always within two business days.
