Ambient Scribes
M

MarianaAI

MarianaAI describes itself as a research lab building healthcare AI models, delivered through CARE, which stands for Comprehensive Automation and Revenue Enhancement. Ambient documentation is one module among more than twenty, alongside autonomous medical coding, pre visit charting, order management, CDI compliance, inbox triage with auto drafted patient responses, insurance coverage checks and a MarianaGPT assistant, integrated with a claimed 50 or more EHRs and reachable in the record, in browsers and on mobile. Buyers should read the commercial framing carefully, because the vendor states it plainly: CARE is marketed on simultaneously optimising RAF scores and ICD-10 and CPT capture to lift value based and fee for service revenue by 15 to 20 percent, on capturing up to 100 percent of codes, and on doing the coding with, in its own words, absolutely no human in the loop. That combination of revenue optimisation, risk adjustment coding and advertised full autonomy is the most exposed configuration assessed in this category, and it is why several axes here grade low despite genuine technical breadth.

Last VerifiedJuly 23, 2026
Compare MarianaAI with other vendors
Founded
Headquarters
Website
marianaai.com/
Categories
ambient-scribes
Assessment

Capability Axes

AI Capability
AI Centrality
A
Vendor Published

Describes itself as a research lab building specialised healthcare AI models, with the CARE platform as the delivery vehicle for them. Nothing in the product exists without the models, and the breadth of functions built on one model stack supports the claim rather than diluting it.

Autonomy and Oversight Model
D
Vendor Published

The weakest oversight posture assessed in this category, and it is advertised rather than uncovered. The autonomous coding module is marketed with the statement that it works with absolutely no human in the loop, generating ICD-10, CPT and HCPCS codes within seconds of the encounter and before the next appointment. Read against this index's own benchmark, that is the inverse of the standard set by Nym Health, which publishes the confidence threshold above which a chart is routed to billing and below which it returns to a human coder, and which was graded A for exactly that disclosure. MarianaAI publishes no threshold, no accuracy rate, no abstention behaviour and no escalation path, while removing the reviewer entirely from a function that produces claims submitted to payers. In fairness the ambient documentation module appears to follow conventional draft and review, and the grade should not be read as describing that module alone; it describes the platform a buyer actually contracts for.

Model and Technology Transparency
C
Vendor Published

Claims are superlative rather than specific, and several are constructed so they cannot be tested. The vendor states an ambition to build the world's most accurate and precise AI for healthcare, advertises up to 100 percent code capture, and describes its security as military grade. Up to 100 percent is satisfied by any figure at all, and military grade is not a defined standard. No model card, no accuracy methodology, no reference standard, no error rate and no evaluation protocol were located for either the documentation or the coding model.

Clinical and Operational Evidence
C
Vendor Published

Every figure located is vendor generated, and several conflict with each other. Published claims include 10x return on investment within the first month in one place and within two weeks in another, savings of 500,000 US dollars and 104 days per physician per year, two extra days a week returned to clinicians, revenue up 15 to 20 percent, and a 98 percent conversion rate against competitors. None carries a denominator, cohort, time period or methodology, and no peer reviewed publication, controlled evaluation or independent assessment was located. Internal inconsistency between the ROI claims is itself a candour signal.

AI Safety and PHI Stewardship
C
Vendor Published

The vendor affirmatively states the position that others in this category commit against. Its materials describe the platform as continuously learning from patient data and clinician feedback, which is the opposite of the never used for training commitments that earn an A on this axis elsewhere here. It also analyses longitudinal patient history, in its own phrasing sometimes from birth, which is an unusually deep PHI reach for a documentation product. Security is described as military grade, which is a marketing phrase rather than a control. No retention schedule, de identification practice or sub processor disclosure was located. Get the training use position in the contract rather than from the website.

Regulatory and Compliance
HIPAA and BAA Posture
B
Vendor Published

HIPAA compliance is claimed directly, which is the same basis on which other vendors in this category are graded B. Worth noting the framing rather than the substance: the claim is presented as being the only healthcare AI solution of its kind to provide not only HIPAA compliance but true military grade security, a superlative that cannot be verified and that adds nothing to the compliance position. BAA terms are not published for inspection.

Security Certifications and Trust Center
Not rated

Not assessed, and the absence is conspicuous. Military grade security is not a certification, an audit or a standard, and no SOC 2, ISO 27001, HITRUST or equivalent named and dated attestation, and no trust centre, was located. A vendor emphasising security this heavily in its marketing while naming no attestation is a straightforward diligence question rather than a subtle one.

FDA and Regulatory Status
Not rated

Not a regulated medical device and none claimed. The regulatory exposure that matters for this product is not FDA but payment integrity: autonomous risk adjustment and evaluation and management coding sit within False Claims Act and Office of Inspector General territory, which is a different regulator and a different failure mode.

AI Governance and Bias Disclosure
D
Vendor Published

Graded on incentive structure and disclosure, not on any allegation of wrongdoing, and the grade rests entirely on the vendor's own published positioning. CARE stands for Comprehensive Automation and Revenue Enhancement. The platform is marketed on simultaneously optimising RAF scores and ICD-10 and CPT capture to raise value based and fee for service revenue by 15 to 20 percent, on capturing up to 100 percent of codes, and on mining longitudinal history from birth to optimise risk adjustment. RAF optimisation in Medicare Advantage is among the most actively litigated areas in United States healthcare compliance, and this index has already graded down Charta Health, Candid Health and Solventum for materially milder versions of the same incentive gradient. What separates this record is that the revenue optimisation is combined with advertised full autonomy and zero published governance: no bias statement, no audit trail description, no compliance framework, no threshold, no human review. A buyer's compliance function should treat the revenue lift claim as the thing to audit, because it is the mechanism by which the product is sold.

Integration and Deployment
EHR and Interoperability Depth
B
Vendor Published

Breadth is asserted at more than 50 EHR integrations naming Epic, Cerner, Meditech and others, with access from inside the record, from Chrome, Edge and Safari and from iOS and Android applications, and distribution through the Microsoft AppSource and AWS marketplaces. Deployment is claimed to reach pilot in under three days and organisation wide in under a month. Graded B on the same basis as other asserted breadth claims in this index: no integration architecture, certification or named production reference was verified in this pass.

Deployment Model and Data Residency
Not rated

Not assessed. Cloud delivered with marketplace distribution through AWS and Microsoft, but no hosting region, residency option or sub processor detail was located.

Commercial
Commercial Transparency
Not rated

No published rate card. Notably, the commercial materials substitute return on investment claims for price entirely, quoting multiples and dollar savings per physician rather than what the product costs. A buyer cannot compare a 10x ROI assertion against a competitor's published per provider monthly rate, which is the practical effect of pricing communicated this way.

Setting and Specialty Coverage
B
Vendor Published

Broad in claim across all specialties and care settings, spanning practices, hospitals and accountable care organisations, with listed reach into acute, ambulatory, behavioral health, home health and population health systems. Multilingual encounter capture is claimed. Held at B rather than A because nothing is enumerated: no specialty count, no language list and no setting specific validation, so breadth is asserted at the level of a category claim rather than documented.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
Not published. ROI claims are quoted in place of pricing
Not disclosed. Enterprise sold to practices, hospitals and accountable care organisations, with marketplace listings on AWS and Microsoft AppSource. HIPAA compliance claimed. BAA terms not published. Training use position should be settled contractually. None published. Vendor claims pilots launch in under three days and organisation wide expansion in under a month. Vendor Published

No price is published anywhere located. Commercial materials replace price with return multiples, quoting 10x ROI, 500,000 US dollars saved per physician per year and revenue up 15 to 20 percent, which cannot be compared against a competitor's published rate. Two questions matter more than the number here. First, whether the 15 to 20 percent revenue lift is achieved through capture of documentation that was genuinely performed or through more aggressive coding of the same care, because only the buyer carries the False Claims Act exposure if it is the latter. Second, what confidence threshold governs the autonomous coding module, given the vendor advertises it as operating with absolutely no human in the loop and publishes no accuracy rate for it.

AI Health Index

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Index Status
Last index update
July 23, 2026
The AI Health Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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