Abridge
Healthcare · AWS · Native (own / self-hosted weights)
Ambient clinical-documentation AI with its own medical models plus partner LLMs, grounded in clinician audio.
Healthcare · AI architecture
How Healthcare companies build with AI — which foundational models they run and how directly, ranked by proximity to the model. Avg Foundation Proximity Score 80/100.
Healthcare · AWS · Native (own / self-hosted weights)
Ambient clinical-documentation AI with its own medical models plus partner LLMs, grounded in clinician audio.
Healthcare · AWS · Native (own / self-hosted weights)
Hippocratic AI’s production architecture centers on the Polaris constellation: a core healthcare conversation LLM surrounded by 30+ specialized supervisor, verifier, and tool-call models, many built on open-source foundations but trained and operated as proprietary healthcare agents in AWS.[1][3][5][8] The system uses online and offline LLM judges plus task-specific engines (e.g., overdose, labs/vitals, benefits, scheduling) to monitor and govern voice interactions and workflow actions at clinical scale.[1][4][8]
Healthcare · GCP · Native (own / self-hosted weights)
Precision-medicine platform with its own multimodal genomic/clinical models plus LLMs for clinician copilots.
Healthcare · Hybrid · Cloud-hosted (Bedrock/Vertex/Azure)
Dominant EHR on its own InterSystems stack; generative features run on Azure OpenAI via the Microsoft partnership.
Healthcare · AWS · Cloud-hosted (Bedrock/Vertex/Azure)
Life-sciences cloud; Veeva AI exposes partner LLMs over regulated CRM/clinical data with a governance layer.
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