AITRICS Vital Care predicts the likelihood of patient deterioration within a hospital using data from EHRs including six vital signs, 11 blood test results, the patient's state of consciousness, and age to provide early warnings when a patient's condition could lead to sepsis, death, or cardiac arrest.

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.

Biobeat offers wearable monitoring devices, such as wrist and chest monitors, that provide continuous, real-time tracking of 13 vital signs using proprietary PPG sensor technology. The platform is used for in-hospital, ambulatory, and remote patient monitoring, supporting applications like early deterioration detection, personalized care, and clinical research. The system includes AI-based analytics to generate actionable insights for healthcare providers, helping optimize patient management and outcomes.