SepsiTrace™: Beat Sepsis using AI

Sepsis causes more deaths globally than many cancers, yet lacks the structured screening and early detection pathways available in oncology. This diagnostic gap often delays treatment, underscoring the urgent need for reliable, workflow-ready tools to support early recognition and improve survival.

SepsiTrace™ equips frontline clinicians with AI-powered tools that uncover hidden biological signals of sepsis. Tailored to each patient, it enables earlier detection, more precise risk stratification, and timely intervention — turning insight into action when every minute counts. 

SepsiTrace™ leverages cutting-edge AI technology to identify early signs of sepsis, enabling healthcare providers to intervene promptly. This innovative system seamlessly integrates with existing hospital infrastructure, providing real-time alerts and comprehensive data analysis. By improving early detection, SepsiTrace™ helps reduce mortality rates and enhances patient safety across medical facilities.

Explore the That Make SepsiTrace™ Stand Out

  • Early Detection – Advanced models forecast sepsis ≥12 hours before clinical onset, enabling proactive treatment and escalation planning.

  • Explainable AI – Transparent reasoning behind each alert to support clinical decision-making.

  • Mobile-Ready – Smartphone/tablet apps for bedside and remote monitoring.

  • Triage Scoring – Real-time risk score combining vitals and symptoms for ED/ICU workflow.

  • Regulatory Pathway – Clinical-trial ready SaMD; no additional development required.

  • Localization – Customizable to region specific data and guidelines; adjustable alert thresholds.

  • Extensible Modules – Telehealth, AI scribing, clinical documentation, analytics, and reporting.

Real-Time Monitoring
Continuously ingests vitals, labs, symptoms, and wearable signals to watch for early sepsis indicators in real time. SepsiTrace™ issues instant, explainable alerts and an actionable triage score, helping teams respond earlier and improve outcomes.
A graphical representation of SepsiTrack™'s predictive analytics capabilities, showing how the system analyzes patient data to forecast sepsis risk and provide proactive alerts.
Predictive Analytics
AI-driven predictive models that forecast sepsis risk, allowing for proactive intervention and prevention (≥12 hours before clinical onset). SepsiTrace™ helps clinicians anticipate potential complications and optimize treatment strategies.
An illustration of SepsiTrack™ seamlessly integrating with existing hospital systems, demonstrating its ability to enhance workflows and provide comprehensive data analysis.
Seamless Integration
Effortless integration with existing hospital systems, enhancing workflows and providing comprehensive data analysis. SepsiTrace™ ensures a smooth transition and maximizes the value of your current infrastructure.
SepsiTrace™ Global Validation Performance
High Accuracy
96% accuracy in predicting sepsis risk across diverse clinical settings
Early Prediction Window
Forecasts sepsis risk well before clinical onset (12 hrs in advance), giving clinicians valuable lead time.
Low False Alarms
Optimized to minimize unnecessary alerts (1 False alarm per 12 hrs ), reducing alarm fatigue for frontline staff.
Cross-Regional Robustness
Validated across diverse patient populations and healthcare systems.
Real-time prediction
Delivers real-time predictions (every 30s) with minimal latency, maintaining performance even under high patient volumes.