Clinical Decision Support
G

Glass Health

Clinical AI platform pairing ambient scribing with evidence grounded clinical reasoning, which the other scribes do not attempt. Clinicians describe a case in natural language and the platform returns a ranked differential with suggested workups, drafts a problem oriented assessment and plan with inline evidence links, and answers clinical questions with citations drawn from an index of more than 38 million peer reviewed articles, consensus guidelines, and FDA information covering over 154,000 drug compounds. In the Harvard and Stanford ARISE NOHARM evaluation, a physician validated clinical safety benchmark, the platform ranked among the top medical AI systems. The scribing side produces clinic notes, H&P notes, progress notes, discharge summaries, and patient handouts, with assisted EHR workflows across Epic, eClinicalWorks, athenahealth, and Elation. A Developer API exposes the full stack, including clinical question answering, chart summarization, differential generation, care planning, and scribing, so other platforms can embed the clinical intelligence. Independent testing notes reasoning is strongest on common presentations and weaker on complex multi system cases, and the company positions the product as decision support requiring physician judgment on every output. Founded 2021 by Dr Dereck Paul and Graham Ramsey.

Last VerifiedJuly 6, 2026
Founded
2021
Headquarters
San Francisco, California
Website
glass.health
Categories
clinical-decision-support, ambient-scribes
Indexed Products
Glass, Glass Developer API
Buyer Segments
Independent Practice, Medical Group, Academic Medical Center
Assessment

Capability Axes

AI Capability
AI Centrality
A
Vendor Published

The reasoning engine is the product. Ranked differentials, cited clinical question answering across a 38 million article index, and drafted assessment and plan are all model outputs, and the Developer API sells that intelligence directly as a component to other platforms.

Autonomy and Oversight Model
A
Vendor Published

The strongest structural answer to the hardest problem in clinical AI. Every response carries inline citations to source literature and guidelines, so a clinician can verify any individual recommendation against the evidence rather than trusting the output. The company insists on the product being decision support requiring physician judgment on every output, and it declines to position it otherwise. Verifiable reasoning plus a stated ceiling on autonomy is the right posture for differential generation.

Model and Technology Transparency
A
Vendor Published

Unusually specific about what the system reasons over: an index of more than 38 million peer reviewed articles, consensus guidelines, and FDA information covering over 154,000 drug compounds, with inline citations exposing the sources of any given answer. For a decision support product, disclosing the evidence corpus and making every output traceable to it is the substantive form of transparency, more useful than naming a base model.

Clinical and Operational Evidence
A
Third Party Estimated

Evaluated in the Harvard and Stanford ARISE NOHARM benchmark, a physician validated clinical safety evaluation, where the platform ranked among the top medical AI systems. Independent safety benchmarking by academic institutions is a materially stronger evidence position than vendor accuracy claims, and it is the appropriate evidence standard for a product that proposes differentials. Independent testing also documents the limits, noting reasoning is weaker on complex multi system cases than on common presentations.

AI Safety and PHI Stewardship
Not rated
Regulatory and Compliance
HIPAA and BAA Posture
Not rated
Security Certifications and Trust Center
Not rated
FDA and Regulatory Status
Not rated
AI Governance and Bias Disclosure
Not rated
Integration and Deployment
EHR and Interoperability Depth
Not rated
Deployment Model and Data Residency
Not rated
Commercial
Commercial Transparency
B
Third Party Estimated

Freemium with a genuinely usable free tier for individuals covering limited scribing and decision support, and a Pro plan reported around $90 per month, with enterprise and Developer API pricing quoted through sales. A clinician can evaluate and adopt without procurement. Held back from A because the Pro figure comes from third party review rather than a published rate card, and API pricing is entirely undisclosed.

Setting and Specialty Coverage
Not rated
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
Free tier; Pro reported around $90 per month
$90 baseline
Freemium for individuals; custom enterprise and API pricing Third Party Estimated

Freemium. A free tier serves individuals including limited ambient scribing and decision support, with a Pro plan reported around $90 per month by third party review rather than a published rate card. Enterprise and Developer API pricing is quoted through sales and entirely undisclosed. Full access requires medical credentials.

AI Health Index

An independent reference for evaluating AI vendors in healthcare. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
July 19, 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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