Vivian Health

Vivian says this plainly itself, and the candour is worth crediting rather than punishing: its own materials lead with the line that AI is only as strong as the data and humans behind it, and describe the AI Assistant as built on top of a network and data layer that came first. That is an accurate description of the business. The marketplace ran for years without AI and would still run without it, and the durable asset is 2.8 million registered clinicians plus the hiring signal generated by roughly one million job searches and 2.7 million applications a year. This is the moat is the dataset pattern the index applies across the credentialing lane and to Reveleer. What lifts it above a token layer is depth of use: roughly half of all applications on the platform are now screened by AI Assistant, which is real operational dependence rather than a marketing feature. Graded B. The grade describes the mechanism, not the quality of the product.

Vivian publishes the disclosure that decides this axis and that most of its peers withhold. Its employer facing material states that role requirements are evaluated with flexibility and that candidates are not disqualified unless the job explicitly requires it. That is an explicit statement of the elimination principle, which is the consequential direction of error in automated screening: a wrong pass costs a recruiter time, a wrong rejection costs a clinician a job they were qualified for. It also names the screening criteria rather than leaving them generic, listing current clinical activity, years of experience, board certification, active licensure in the required state and DEA registration for advanced practice roles, all of which are objective and job related. Outbound is gated too, with AI Proposals requiring a recruiter to review, edit and approve every message before it sends, and screened candidates handed to a human rather than advanced automatically. Graded A. The residual gap is what happens in the case the disclosure carves out, when a job does explicitly require a criterion the candidate lacks, and whether that rejection is ever reviewed.

The inputs are described but the model never is. Vivian names its data layer as detailed job requirements, clinician intent and behavior, and placement outcomes, and it names what the assistant screens for. Nothing published identifies the model family, whether matching is a learned ranking model or a rules engine over structured credential fields, whether any large language model is used for the conversational and drafting functions, or what was measured to validate it. The provenance detail offered is organizational rather than technical, namely that the assistant was built over two years with two travel nurses on the team. That is useful signal about domain grounding and it is not a substitute for a model description. Publishing the model family and the feature classes behind match ranking would move this to B.

Every figure is vendor generated and most are framed as ceilings rather than averages. Vivian reports candidates responding up to 4 times more often with AI Assistant, up to a 15 percent lift in placements, 20 percent more complete candidate profiles, and 8 in 10 recruiters reporting positive workflow impact. Beta figures for AI Proposals report proposals sent nearly 12 times faster, up to 3 times higher response rates and up to 1.7 times higher proposal to application rates. Named customers appear as logos and testimonials rather than as study sites, and no independent or peer reviewed evaluation was located. The figures are at least internally consistent and tied to named mechanisms, which is more than several vendors in this category manage, but up to framing without denominators or a control comparison is a marketing claim rather than evidence. Publishing one customer cohort with a before and after denominator, or a holdout comparison against unassisted recruiting, would move this to B.

Vivian handles clinician employment data rather than patient data, so PHI stewardship is not applicable in the provider sense and is rated accordingly rather than penalized. The domain equivalent is substantial. Vivian holds licensure, board certification, DEA registration, work history and behavioral signal on 2.8 million healthcare professionals, a population approaching half the active US nursing workforce, and the AI Assistant generates screening assessments about named clinicians that are shared with prospective employers. Nothing located states whether a clinician can see or contest the screening assessment attached to them, how long profiles persist after a job search ends, or whether one employer's candidate interactions inform models serving a competing employer. Those are the three disclosures a buyer and a clinician should both want, and they are the employment data analogue of what the index demands on PHI elsewhere.

No patient data is in scope, so a HIPAA posture is not applicable in the provider sense and is rated accordingly rather than penalized. No BAA language was located and none would ordinarily be required, since a marketplace handling job applications is not receiving PHI from a covered entity. The governing instrument is the platform's terms and privacy policy together with whatever data protection terms sit in the employer agreement, and those are where the credential retention and secondary use questions raised in the stewardship row have to be answered.

No SOC 2 Type II, ISO 27001 or equivalent attestation was located and the site carries no trust center, with the footer linking only to a privacy policy and terms of service. Applicability is not in question: Vivian stores identity, licensure and DEA registration records on millions of clinicians, which is a credential dataset attractive to anyone attempting credential fraud or impersonation of licensed practitioners, and it exchanges candidate data with employers and agencies. A published SOC 2 Type II would move this to B. Given that the platform now sells into large health systems, procurement at that tier will ask for one regardless of what the public site shows, so the absence may reflect marketing rather than posture, and buyers should ask directly before assuming either way.

Vivian is not a medical device and makes no clinical claim, so no FDA pathway applies and the axis is rated accordingly rather than penalized. The regime that does apply is employment law. A system that screens candidates against role requirements and ranks them for recruiter attention is an automated employment decision tool under New York City Local Law 144, which requires an annual independent bias audit with published results, and it sits inside the scope of the Illinois AI video interview law and the Colorado framework for consequential decisions. Nothing published by Vivian was located showing such an audit. The complication specific to this vendor is that it sells to staffing agencies as well as to direct employers, so the party carrying the audit duty depends on who makes the hiring decision, and that allocation should be settled in the contract rather than assumed.

The architecture is defensible and the disclosure is not. What protects Vivian here is that its published screening criteria are objective and job related, namely licensure, board certification, DEA registration, recent clinical activity and years of experience, which is the strongest structural defense against disparate impact, and that its stated design principle is not to disqualify candidates unless the job explicitly requires it. Those are governance relevant choices and they are credited. But nothing published names a bias mitigation method, reports fairness testing, gives an adverse impact ratio, or shows an independent audit, and no Local Law 144 filing was located. The comparison inside this category is unflattering: Arena Analytics names its technique, states that it strips protected characteristics and their proxies, and commits to the EEOC four fifths threshold. Vivian ranks and screens at far greater scale and says nothing equivalent. Naming a fairness method and publishing an adverse impact ratio by role would move this to B.

No EHR integration exists and none is needed, since this product writes to hiring systems rather than clinical ones, so the axis is assessed on the interoperability surface that applies. On that surface the published detail is thin. One named integration was located, a partnership announced in October 2025 embedding Vivian's hiring technology into Hallmark Health Care Solutions' vendor management and flexible workforce products, enabling one click submission of travel, per diem and local candidates. Beyond that, applicant tracking system integration is asserted in third party descriptions rather than documented by the vendor, and no list of supported systems appears on the employer site. That is a material gap for a health system buyer whose recruiters live in an existing ATS, and it contrasts directly with Arena Analytics in this same category, which names nine ATS and HRIS connectors outright. Publishing the supported integration list would move this to B.

Nothing published was located on hosting model, tenancy, region or data residency. As a multi tenant consumer facing web and mobile marketplace the deployment model is not genuinely in question, but residency, retention location and subprocessor disclosure are, particularly given the volume of credential data held. This axis is unrated on absence of evidence rather than on evidence of a weak posture, and the question belongs in procurement alongside the security attestation.

There is no pricing page. Both employer paths, direct healthcare employer and staffing agency, resolve to a demo request, and no rate, unit or charging basis is published. Third party summaries describe an employer paid model billed per hire or by subscription, which is recorded here as secondary sourced and unconfirmed. The irony is worth stating plainly, because it is the sharpest commercial observation in this category: Vivian's entire brand proposition to clinicians is pay transparency, and it publishes salary data, employer reviews and mandatory rate breakdowns on job postings precisely because opacity disadvantages the worker. It extends none of that to the buyer on the other side of its own marketplace. Publishing the charging unit, without a figure, would move this to B.

This is the broadest coverage in the hiring segment of the category. Vivian spans nursing, allied health, therapy and advanced practice roles including nurse practitioners, physician assistants and certified registered nurse anesthetists, across travel, permanent, per diem, local contract and advanced practice employment types, with more than 250,000 job opportunities live. The buyer base is equally broad and covers both sides of the labor supply chain, with named large health systems including Trinity Health, Tenet Health, Adventist Health, Memorial Hermann, University of Miami Health and Sanford Health alongside staffing agencies and a group purchasing workforce organization. Because AI Assistant was extended in stages, starting with travel roles and later covering permanent, per diem, local and advanced practice work, buyers should confirm that the AI capability and not merely the job listing coverage reaches the employment type they are hiring for.