Benefits
Integrate Clinical‑Grade, Evidence‑Based Intelligence
With the Glass API, you can embed clinical-grade, evidence-based AI into your products like electronic health records, telehealth platforms, and clinical workflow apps—without the burden of building, evaluating, and updating your own clinical AI system. Unlock new clinical AI use cases in your workflows and products including triage, patient record summarization, diagnostic support, treatment planning, and automated documentation.
What it is
Agentic AI Architecture
Glass is a large language model-based AI agent powered by sophisticated medical knowledge retrieval to deliver trustworthy and accurate evidence-based responses. Purpose-built for healthcare, Glass processes clinical queries, analyzes patient data, and returns guideline-aligned recommendations with cited sources.
Core capabilities include:
How It Works
Real-Time Awareness of the Latest Medical Literature
Glass indexes the medical literature from a variety of sources including more than 38 million peer-reviewed articles and comprehensive FDA-approved drug information covering 154,000+ compounds. Our AI agent searches these knowledge bases with sophisticated analysis—mirroring the discernment of a medical scholar while applying clinical guidelines with expert-level judgment.
Validation
Leading Performance on Clinical Benchmarks
Our clinical intelligence is rigorously evaluated against clinical benchmarks and validated by academic clinicians. Clinicians worldwide rely on Glass for best-in-class AI clinical decision support, including clinicians at leading healthcare systems like Harvard Medical School, Stanford Medicine, and Johns Hopkins Medicine.
API Details
Technical Specifications
The Glass API provides a RESTful interface with secure authentication and structured endpoints for clinical queries. It returns markdown-formatted responses with in-text citations and provides all information and metadata for the citations used for reference display. The system delivers real-time progress updates from the agent during processing, which can be displayed directly to users.
Infrastructure
Built for Scale and Reliability
Reliability at Scale
Typical error rates are below 0.01% via intelligent fallback mechanisms.
Elastic Deployment
Autoscaling, load-balanced servers across regions.
Transform Your Practice Today
Our team is ready to help you integrate Glass and deliver evidence-based clinical intelligence to your users.