Azra AI develops AI-powered solutions aimed at optimizing clinical workflows in healthcare, particularly in oncology and radiology. Their technology is used to automate the identification and prioritization of cancer patients from pathology reports, manage incidental findings in radiology, and streamline tumor registry processes. By integrating with existing healthcare systems, Azra AI's tools help healthcare providers deliver timely and efficient care, reduce workflow inefficiencies, and ensure compliance with regulatory standards.

Bayesian Health is AI-driven clinical risk monitoring and decision support platform designed to detect early signs of patient deterioration. The system continuously monitors patient data across vitals, lab results, and clinical notes, identifying patterns that may indicate worsening conditions. When potential risks are detected, it flags these issues to the care team within their existing workflow, prompts clinicians to provide additional clinical context, and offers automated documentation. The AI adapts and learns from clinician feedback to improve its accuracy over time.

CLEW provides AI-driven predictive analytics for healthcare, particularly in ICUs and other critical care environments. The platform aggregates data from EHRs and patient monitoring systems, to create real-time physiological profiles of patients. CLEW’s system continuously monitors these profiles using AI models to predict patient deterioration, sending alerts to care teams when necessary. It supports remote and virtual care models, and integrates with existing hospital systems.