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.

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.

HealthLeap is an AI-driven platform focused on improving patient care by continuously screening for malnutrition using real-time data from patient charts, including lab results and clinical notes. By identifying malnutrition earlier, HealthLeap helps clinicians intervene sooner, reducing hospital length of stay and readmission rates, while also improving billing accuracy for hospitals. The platform can be customized to specific hospital workflows and is expanding to address additional conditions, such as pressure injuries and heart failure readmissions. It is particularly useful for dietitians and clinicians looking to optimize patient outcomes and operational efficiency.