Viz.ai

Viz.ai is an enterprise-grade medical intelligence platform engineered to eliminate systemic delays in acute care by combining automated disease detection with instant multidisciplinary communication. Operating securely within a hospital network, the platform utilizes advanced artificial intelligence to analyze patient imaging and diagnostic files—such as CT scans, EKGs, and echocardiograms—immediately upon completion. If a critical condition is suspected, Viz.ai bypasses traditional, multi-step hospital paging systems to simultaneously alert specialists and on-call teams via a secure mobile and desktop application, slashing standard triage coordination workflows from over an hour down to mere minutes.

The platform is organized into highly tailored, disease-specific software suites built to manage complex acute and longitudinal care pathways. The foundational module is Viz Neuro, which automatically triages suspected large vessel occlusions and computes automated CT perfusion maps to optimize stroke interventions across hub-and-spoke hospital networks. Additionally, the platform features Viz Cardio for identifying high-risk cardiovascular conditions like hypertrophic cardiomyopathy and acute coronary syndrome, Viz Vascular for tracking abdominal aortic aneurysms, Viz Trauma for immediate emergency coordination, and the specialized Viz Pulmonary Suite to streamline the management of pulmonary embolisms and incidental lung nodules.

Viz Assist is the platform's advanced agentic and generative AI assistant designed to ease the administrative and cognitive burdens placed on frontline clinicians. Operating alongside care teams within the central workspace, Viz Assist securely parses cross-sectional data streams to draft context-aware clinical summaries, assist with pre-charting research, and automate complex medical documentation. This intelligence layer also integrates guideline surfacing, dynamically cross-referencing real-time patient charts with official medical society directives to ensure that clinical teams are immediately prompted with appropriate risk-stratification metrics and guideline-directed treatment options at the point of care.

Rather than functioning as an isolated software silo, Viz.ai is engineered with a flexible, vendor-neutral infrastructure that integrates natively into standard hospital IT environments. The platform establishes bi-directional connectivity with major Electronic Health Record systems alongside localized Picture Archiving and Communication Systems (PACS) and cross-institutional cloud architectures. This ensures that AI-driven alerts and automated 3D mobile image viewings are securely transmitted into active clinical streams, allowing specialists to review high-fidelity imaging, coordinate referrals via cross-departmental modules like Viz Connect, and confirm critical treatment decisions directly through their primary workflow interfaces.