Viz.ai

Viz.ai is embedded in 2,000 hospitals serving an estimated 230 million patients, with more than 50 AI care pathways across neurology, radiology, cardiology, oncology and pulmonology.

Viz.ai is embedded in 2,000 hospitals serving an estimated 230 million patients, with more than 50 AI care pathways across neurology, radiology, cardiology, oncology and pulmonology.

Viz.ai reported deployment in 2,000 hospitals serving an estimated 230 million patients, with more than 50 AI care pathways across neurology, radiology, cardiology, oncology, pulmonology and other areas.

Viz.ai combines FDA-cleared disease-detection algorithms, multimodal clinical data and real-time care coordination across multiple disease pathways.

Viz.ai combines FDA-cleared disease-detection algorithms, multimodal clinical data and real-time care coordination across multiple disease pathways.

Viz.ai reports 125+ peer-reviewed publications demonstrating patient-outcome improvements and has expanded from its first FDA-cleared stroke AI platform to more than 50 AI care pathways across neurology, radiology, cardiology, oncology, pulmonology and other disease areas.

Viz.ai reported profitability in its healthcare business, nearly 2,000 hospital deployments, life-sciences growth and partnerships with top pharmaceutical companies.

Viz.ai reported profitability in its healthcare business, nearly 2,000 hospital deployments, life-sciences growth and partnerships with top pharmaceutical companies.

Viz.ai closed 2025 with profitability in its healthcare business, adoption in nearly 2,000 hospitals including the majority of the 50 largest U.S. health systems, and a Life Sciences business that doubled over 18 months with six new top-pharma partnerships.

Viz.ai's chief architect describes standardized FHIR resources, OAuth 2.0/JWT/JWKS access and key validation, and periodic pulls combined with CDS Hooks to work around limited real-time FHIR notifications. These provide concrete secure-API and event-integration skills.

Clinical ML, imaging, multimodal health data and regulated deployment skills transfer strongly within healthcare AI, but medical-domain and regulatory specialization limit full market portability.

Clinical ML, imaging, multimodal health data and regulated deployment skills transfer strongly within healthcare AI, but medical-domain and regulatory specialization limit full market portability.